noamaanMulla-03/transformers-issues huggingface dataset:
[serge] integration failure triage - 2026-07-03
Author: github-actions[bot]
Pull request: no

<!-- serge-triage-run:integration-failure-triage:2026-07-03 -->

Automated **integration-failure triage** for the daily CI window `2026-06-27 → 2026-07-03`.

This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before acting.

Serge dispatched one task per failure group below — each opens or updates its own PR on a `serge/fix/itf-<fingerprint>` branch. This table is refreshed in place as Serge opens PRs during the run; a group still showing `(pending)` either had no safe fix or is still running, and gets linked on the next nightly run if its PR appears later.

## Dispatched failure groups

| Model | Error | Occurrences | PR |
| --- | --- | --- | --- |
| `whisper` | other — other (20), shape/size mismatch (2) | 22 | `serge/fix/itf-cb0ec086dc28` (pending) |
| `whisper` | output_mismatch — list output differs (10), other (6), tensor values differ (4) | 20 | `serge/fix/itf-5fadcce436e9` (pending) |
| `musicgen_melody` | output_mismatch — tensor values differ (16) | 16 | #46970 |
| `gemma` | output_mismatch — list output differs (14) | 14 | `serge/fix/itf-94e6520abd4c` (pending) |
| `dac` | output_mismatch — tensor values differ (6), other (6) | 12 | #46941 |
| `edgetam` | import_or_config — other (12) | 12 | #46907 |
| `glm46v` | other — other (12) | 12 | #46927 |
| `minimax_m3_vl` | load_error — other (12) | 12 | `serge/fix/itf-c256626f0880` (pending) |
| `gemma3n` | output_mismatch — list output differs (10) | 10 | `serge/fix/itf-0498ca54f373` (pending) |
| `glm_ocr` | output_mismatch — list output differs (10) | 10 | #46986 |
| `gemma3` | output_mismatch — list output differs (7), other (2) | 9 | `serge/fix/itf-71c56cf04772` (pending) |
| `deepseek_v32` | load_error — other (8) | 8 | `serge/fix/itf-8fa71a7b3d14` (pending) |
| `falcon_mamba` | output_mismatch — other (6), list output differs (2) | 8 | `serge/fix/itf-f87e290c2bd6` (pending) |
| `grounding_dino` | output_mismatch — tensor values differ (6), other (2) | 8 | `serge/fix/itf-05605f829482` (pending) |
| `higgs_audio_v2` | output_mismatch — tensor values differ (8) | 8 | `serge/fix/itf-8ce58bb033f0` (pending) |
| `mamba2` | OOM — other (8) | 8 | `serge/fix/itf-c2458324d11f` (pending) |
| `mllama` | output_mismatch — other (8) | 8 | `serge/fix/itf-a29b4efa9538` (pending) |
| `moshi` | output_mismatch — other (8) | 8 | `serge/fix/itf-666f64491185` (pending) |
| `mpt` | other — other (8) | 8 | `serge/fix/itf-f6af7ce18da4` (pending) |
| `peft_integration` | other — other (8) | 8 | #46951 |

_Generated 2026-07-04T00:30:55+00:00._

Comments:
[serge] integration failure triage - 2026-07-06
Author: github-actions[bot]
Pull request: no

<!-- serge-triage-run:integration-failure-triage:2026-07-06 -->

Automated **integration-failure triage** for the daily CI window `2026-06-30 → 2026-07-06`.

This issue was generated by AI-assisted automation. The grouping, summaries, and recommended follow-up can be incomplete or misleading; verify the failures before acting.

Serge dispatched one task per failure group below — each opens or updates its own PR on a `serge/fix/itf-<fingerprint>` branch. This table is refreshed in place as Serge runs: a group links its `#<pr>` when opened, shows `🚫 no fix` when Serge found no safe change, `⚠️ task failed` on error, or `(pending)` while still running (a late PR links on the next nightly run).

## Dispatched failure groups

| Model | Error | Occurrences | PR |
| --- | --- | --- | --- |
| `whisper` | other — other (20), shape/size mismatch (2) | 22 | #47056 |
| `whisper` | output_mismatch — list output differs (10), other (6), tensor values differ (4) | 20 | `serge/fix/itf-5fadcce436e9` (pending) |
| `musicgen_melody` | output_mismatch — tensor values differ (16) | 16 | #46970 |
| `gemma` | output_mismatch — list output differs (14) | 14 | `serge/fix/itf-1d37e7331262` (pending) |
| `dac` | output_mismatch — tensor values differ (6), other (6) | 12 | #46941 |
| `edgetam` | import_or_config — other (12) | 12 | #47055 |
| `glm46v` | other — other (12) | 12 | #46927 |
| `minimax_m3_vl` | load_error — other (12) | 12 | #47054 |
| `gemma3` | output_mismatch — list output differs (8), other (2) | 10 | #47006 |
| `gemma3n` | output_mismatch — list output differs (10) | 10 | `serge/fix/itf-0498ca54f373` (pending) |
| `glm_ocr` | output_mismatch — list output differs (10) | 10 | #46986 |
| `deepseek_v32` | load_error — other (8) | 8 | #47057 |
| `falcon_mamba` | output_mismatch — other (6), list output differs (2) | 8 | `serge/fix/itf-f87e290c2bd6` (pending) |
| `grounding_dino` | output_mismatch — tensor values differ (6), other (2) | 8 | `serge/fix/itf-05605f829482` (pending) |
| `higgs_audio_v2` | output_mismatch — tensor values differ (8) | 8 | `serge/fix/itf-8ce58bb033f0` (pending) |
| `mllama` | output_mismatch — other (8) | 8 | `serge/fix/itf-a29b4efa9538` (pending) |
| `mpt` | other — other (8) | 8 | `serge/fix/itf-f6af7ce18da4` (pending) |
| `peft_integration` | other — other (8) | 8 | #46951 |
| `recurrent_gemma` | output_mismatch — list output differs (8) | 8 | `serge/fix/itf-864c51bf0d25` (pending) |
| `vision_encoder_decoder` | other — other (8) | 8 | `serge/fix/itf-335034c2b09a` (pending) |

_Generated 2026-07-07T00:33:12+00:00._

Comments:
[serge] Fix 12 integration tests for model `edgetam` failing with `import_or_config` (other (12))
Author: sergereview[bot]
Pull request: yes

<!-- ci-dashboard-badge:start -->
[![CI](https://transformers-ci.lor-e.huggingface.cool/badge/pr?pr=46907)](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46907)
<!-- ci-dashboard-badge:end -->

## Original CI failure

- Failure group: `1/1: 12 integration tests for model `edgetam` failing with `import_or_config` (other (12))`
- `tests/models/edgetam/test_modeling_edgetam.py::EdgeTamModelIntegrationTest::test_inference_batched_images_batched_boxes` [multi-gpu] (import_or_config, seen 5/7)

<!-- serge-task:integration-failure-triage:sha256:23841b7d70827fe1ec597a7279bc8c4880e16ed6c5287ed05c6730b973adda72 -->
Relates to #46906

The EdgeTam integration tests fail with `TypeError: FeatureListNet.forward() got an unexpected keyword argument 'original_sizes'`.

Root cause: the SAM2 processor returns `original_sizes` for post-processing, and `EdgeTamVisionModel.forward` forwards all `**kwargs` to the TimmWrapper backbone. The underlying timm `FeatureListNet` does not accept `original_sizes`.

Fix: pop `original_sizes` from `kwargs` before calling the backbone in `modular_edgetam.py`, so the generated `modeling_edgetam.py` no longer passes it to the timm model.

---
_This change was produced automatically by serge from a CI failure report. The patch was generated by an LLM and applied by serge; review before merging._

_serge `v0.1.0` · model: `moonshotai/Kimi-K2.7-Code` · 18 LLM turns · 30 tool calls · 74.7s · 300369 in / 9936 out tokens_

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_46907). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

**[For maintainers]** Suggested jobs to run (before merge)

run-slow: edgetam

<!-- ci-dashboard-recap:start -->

---

### CI recap

**Dashboard:** [View test results in Grafana](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46907)
**Latest run:** [28306618012:1](https://github.com/huggingface/transformers/actions/runs/28528935492)
**Result:** `success` | **Jobs:** 2 | **Tests:** 4 | **Failures:** 2 | **Duration:** 35s

<!-- ci-dashboard-recap:end -->
DO NOT MERGE testing grafana
Author: tarekziade
Pull request: yes

test do not merge

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_45932). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

**[For maintainers]** Suggested jobs to run (before merge)

run-slow: aimv2, auto, d_fine, deimv2, pp_doclayout_v2, pp_doclayout_v3, qwen3, qwen3_omni_moe, rt_detr, rt_detr_v2, vit_mae

View the CircleCI Test Summary for this PR:

https://huggingface.co/spaces/transformers-community/circle-ci-viz?pr=45932&sha=260b5b
[serge] Fix 12 integration tests for model `minimax_m3_vl` failing with `load_error` (other (12))
Author: sergereview[bot]
Pull request: yes

## Original CI failure

- Failure group: `1/1: 12 integration tests for model `minimax_m3_vl` failing with `load_error` (other (12))`
- `tests/models/minimax_m3_vl/test_modeling_minimax_m3_vl.py::MiniMaxM3VLIntegrationTest::test_batched_image_generation` [multi-gpu] (load_error, seen 7/7)

<!-- serge-task:integration-failure-triage:sha256:f227d3ee015fc3148c1813fd6c1082e52b042a2dede994ec2019339c05ed3427 -->

Relates to #46906

The `MiniMaxM3VLIntegrationTest` suite loads `MiniMaxAI/MiniMax-M3-MXFP8` with `device_map="auto"`. When accelerate decides to offload weights to disk, the MoE checkpoint uses an internal weight format that must be re-saved, which requires an explicit `offload_folder`. Without it, `from_pretrained` raises the reported `ValueError`.

This patch passes a freshly-created temporary directory as `offload_folder` in the integration test's `_load_model` helper, matching the existing `from_pretrained` API and unblocking all 12 failing integration tests.

- Adds `import tempfile` to the test file.
- Passes `offload_folder=tempfile.mkdtemp()` to `MiniMaxM3SparseForConditionalGeneration.from_pretrained`.

---
_This change was produced automatically by serge from a CI failure report. The patch was generated by an LLM and applied by serge; review before merging._

_serge `v0.1.0` · model: `moonshotai/Kimi-K2.7-Code` · 31 LLM turns · 30 tool calls · 63.6s · 439591 in / 3224 out tokens_

Comments:
**[For maintainers]** Suggested jobs to run (before merge)

run-slow: minimax_m3_vl

**CI Dashboard:** [View test results in Grafana](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46926)

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_46926). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
[serge] Fix 8 integration tests for model `deepseek_v32` failing with `load_error` (other (8))
Author: sergereview[bot]
Pull request: yes

## Original CI failure

- Failure group: `1/1: 8 integration tests for model `deepseek_v32` failing with `load_error` (other (8))`
- `tests/models/deepseek_v32/test_modeling_deepseek_v32.py::DeepseekV32IntegrationTest::test_batched_generation_padding` [multi-gpu] (load_error, seen 5/7)

<!-- serge-task:integration-failure-triage:sha256:3afca84a1f5b7ca262d45742c44847998e74b5fd5e9bb1878df9aee8e47d3f29 -->

Relates to #46906

The DeepseekV32 integration tests load `deepseek-ai/DeepSeek-V3.2-Exp` with `device_map="auto"`. On CI runners whose auto device_map offloads some weights to disk, loading fails because no `offload_folder` is provided. This is expected for large MoE models whose internal weight layout differs from the checkpoint layout.

Root cause: test calls missing the `offload_folder` argument required by the accelerate disk-offload path.

Fix: pass a temporary `offload_folder` to every `DeepseekV32ForCausalLM.from_pretrained` call in the integration test class.

---
_This change was produced automatically by serge from a CI failure report. The patch was generated by an LLM and applied by serge; review before merging._

_serge `v0.1.0` · model: `moonshotai/Kimi-K2.7-Code` · 25 LLM turns · 30 tool calls · 31.0s · 412737 in / 3828 out tokens_

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_46908). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

**[For maintainers]** Suggested jobs to run (before merge)

run-slow: deepseek_v32

**CI Dashboard:** [View test results in Grafana](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46908)
[serge] Fix 8 integration tests for model `blip_2` failing with `other` (other (8))
Author: sergereview[bot]
Pull request: yes

## Original CI failure

- Failure group: `1/1: 8 integration tests for model `blip_2` failing with `other` (other (8))`
- `tests/models/blip_2/test_modeling_blip_2.py::Blip2ModelIntegrationTest::test_inference_itm` [multi-gpu] (other, seen 6/7)

<!-- serge-task:integration-failure-triage:sha256:ff8924c8568d49d8fb4d02857d3239b8f08c46cd4692620a1ff73d31bcf1884e -->
Relates to #46906

The `blip2-itm-vit-g` integration tests fail because `AutoTokenizer` cannot instantiate a backend tokenizer for the checkpoint. The model's `tokenizer_config.json` declares `BertTokenizer`, while the `blip-2` model type maps to `GPT2Tokenizer`. The mismatch path tries to use the hub-declared slow class, but no fast serialization is available, so `TokenizersBackend` initialization raises `ValueError: Couldn't instantiate the backend tokenizer from one of:`.

Root cause: `Salesforce/blip2-itm-vit-g` is not in `MODEL_IDS_TO_TOKENIZERS_BACKEND`, so it does not get routed to `TokenizersBackend.from_pretrained`, which is the intended loader for these BLIP-2 checkpoints.

Patch: add `salesforce/blip2-itm-*` to `MODEL_IDS_TO_TOKENIZERS_BACKEND` in `tokenization_auto.py`, alongside the existing `blip2-opt-*` and `blip2-flan-t5-*` patterns.

---
_This change was produced automatically by serge from a CI failure report. The patch was generated by an LLM and applied by serge; review before merging._

_serge `v0.1.0` · model: `moonshotai/Kimi-K2.7-Code` · 31 LLM turns · 30 tool calls · 80.5s · 443747 in / 3535 out tokens_

Comments:
**[For maintainers]** Suggested jobs to run (before merge)

run-slow: auto

**CI Dashboard:** [View test results in Grafana](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46928)

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_46928). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
[serge] Fix 12 integration tests for model `glm46v` failing with `other` (other (12))
Author: sergereview[bot]
Pull request: yes

<!-- ci-dashboard-badge:start -->
[![CI](https://transformers-ci.lor-e.huggingface.cool/badge/pr?pr=46927)](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46927)
<!-- ci-dashboard-badge:end -->

## Original CI failure

- Failure group: `1/1: 12 integration tests for model `glm46v` failing with `other` (other (12))`
- `tests/models/glm46v/test_modeling_glm46v.py::Glm46VIntegrationTest::test_small_model_integration_test` [multi-gpu] (other, seen 7/7)

<!-- serge-task:integration-failure-triage:sha256:eeafa510c34cc711112e62fad1875f58e942645f41dfca2fe93c60c0b1084ee8 -->

Relates to #46906

The `glm46v` integration tests fail with `RuntimeError: Expected tensor for argument #1 'indices' to have one of the following scalar types: Long, Int; but got CUDABFloat16Type instead` while checking arguments for `nn.Embedding`.

Root cause: `input_ids` reach the text embedding lookup as floating-point tensors (bfloat16/float16) instead of integer indices. `Glm46VModel` inherits its forward from `Glm4vModel`/`Qwen2VLModel`, and the glm46v-specific subclass does not guard the embedding input dtype.

Fix: override `Glm46VModel.forward` to cast `input_ids` to `torch.long` before delegating to the parent forward, ensuring the embedding layer receives valid index tensors.

This is the minimal library-code change; no expected output values need updating.

---
_This change was produced automatically by serge from a CI failure report. The patch was generated by an LLM and applied by serge; review before merging._

_serge `v0.1.0` · model: `moonshotai/Kimi-K2.7-Code` · 26 LLM turns · 30 tool calls · 192.2s · 581100 in / 15584 out tokens_

<!-- ci-dashboard-recap:start -->

---

### CI recap

**Dashboard:** [View test results in Grafana](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46927)
**Latest run:** [28341618936:1](https://github.com/huggingface/transformers/actions/runs/28341618936)
**Result:** `failure` | **Jobs:** 2 | **Tests:** 7 | **Failures:** 0 | **Duration:** 22s

<!-- ci-dashboard-recap:end -->

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_46927). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

**[For maintainers]** Suggested jobs to run (before merge)

run-slow: glm46v
[serge] Fix 22 integration tests for model `whisper` failing with `other` (other (20), shape/size mismatch (2))
Author: sergereview[bot]
Pull request: yes

<!-- ci-dashboard-badge:start -->
[![CI](https://transformers-ci.lor-e.huggingface.cool/badge/pr?pr=46949)](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46949)
<!-- ci-dashboard-badge:end -->

## Original CI failure

- Failure group: `1/1: 22 integration tests for model `whisper` failing with `other` (other (20), shape/size mismatch (2))`
- `tests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_distil_token_timestamp_generation` [multi-gpu] (other, seen 7/7)

<!-- serge-task:integration-failure-triage:sha256:511d4e150d042a992a7fb793ec5e99d7adc3e391d799d6dcce6f859dec1d4a79 -->
Relates to #46948

Fixes an `UnboundLocalError: local variable 'is_updated' referenced before assignment` in `WhisperAttention.forward`.

Root cause: `is_updated` was only assigned when `past_key_values` is an `EncoderDecoderCache`. With other cache types (e.g. during speculative decoding), the variable remained undefined and was later referenced in the cross-attention reuse check.

Patch: initialize `is_updated = False` before the conditional so the fallback path runs safely for any cache type.

---
_This change was produced automatically by serge from a CI failure report. The patch was generated by an LLM and applied by serge; review before merging._

_serge `v0.1.0` · model: `moonshotai/Kimi-K2.7-Code` · 23 LLM turns · 30 tool calls · 35.7s · 452862 in / 7256 out tokens_

<!-- ci-dashboard-recap:start -->

---

### CI recap

**Dashboard:** [View test results in Grafana](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46949)
**Latest run:** [28352697234:1](https://github.com/huggingface/transformers/actions/runs/28352697234)
**Result:** `failure` | **Jobs:** 14 | **Tests:** 69,993 | **Failures:** 0 | **Duration:** 18h 2m

<!-- ci-dashboard-recap:end -->

Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_46949). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

**[For maintainers]** Suggested jobs to run (before merge)

run-slow: audioflamingo3, whisper
[serge] Fix 12 integration tests for model `dac` failing with `output_mismatch` (tensor values differ (6), other (6))
Author: sergereview[bot]
Pull request: yes

## Original CI failure

- Failure group: `1/1: 12 integration tests for model `dac` failing with `output_mismatch` (tensor values differ (6), other (6))`
- `tests/models/dac/test_modeling_dac.py::DacIntegrationTest::test_integration_0_dac_16khz` [multi-gpu] (output_mismatch, seen 7/7)

<!-- serge-task:integration-failure-triage:sha256:aa1fcb5380a3e3d76ad969311cc7b698661a763e3eeb57ab7999254a9eac3f00 -->
Relates to #46940

The DAC integration tests fail because `DacVectorQuantize.decode_latents` computes the codebook distance with misplaced parentheses. The current expression adds the codebook norm instead of subtracting it, so the nearest-neighbor lookup does not minimize Euclidean distance. This causes the quantized codes and decoded audio to drift from the expected values.

Fix the distance formula to negate the full squared-distance expression, matching the equivalent EnCodec/XCodec codebooks and the mathematical intent. This is a one-character parenthesis fix in `src/transformers/models/dac/modeling_dac.py`.

---
_This change was produced automatically by serge from a CI failure report. The patch was generated by an LLM and applied by serge; review before merging._

_serge `v0.1.0` · model: `moonshotai/Kimi-K2.7-Code` · 27 LLM turns · 30 tool calls · 58.3s · 555794 in / 10331 out tokens_

Comments:
**[For maintainers]** Suggested jobs to run (before merge)

run-slow: dac

**CI Dashboard:** [View test results in Grafana](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46941)

The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_46941). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.
[serge] Fix 8 integration tests for model `peft_integration` failing with `other` (other (8))
Author: sergereview[bot]
Pull request: yes

<!-- ci-dashboard-badge:start -->
[![CI](https://transformers-ci.lor-e.huggingface.cool/badge/pr?pr=46951)](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46951)
<!-- ci-dashboard-badge:end -->

## Original CI failure

- Failure group: `1/1: 8 integration tests for model `peft_integration` failing with `other` (other (8))`
- `tests/peft_integration/test_peft_integration.py::PeftHotswapIntegrationTest::test_hotswap_with_compile_and_higher_rank_works` [multi-gpu] (other, seen 7/7)

<!-- serge-task:integration-failure-triage:sha256:3d095811de43f004f750585d6693d20d8adb46988909e896c348b24455a13f2c -->
Relates to #46948

The PEFT hotswap integration tests fail with `RuntimeError: You set ignore_mismatched_sizes to False` when loading an adapter whose rank differs from the currently active adapter.

Root cause: `PeftAdapterMixin.load_adapter` passes `load_config.ignore_mismatched_sizes` (default `False`) to `log_state_dict_report`. During hotswap, the new LoRA weights are intentionally a different size than the pre-allocated adapter slots (e.g. when `enable_peft_hotswap(target_rank=...)` reserved space for a larger rank), so the loader correctly records them as mismatched and then raises.

Fix: when hotswap is active, set `ignore_mismatched_sizes=True` on the `LoadStateDictConfig` used for the adapter load so the intentional shape differences are accepted.

---
_This change was produced automatically by serge from a CI failure report. The patch was generated by an LLM and applied by serge; review before merging._

_serge `v0.1.0` · model: `moonshotai/Kimi-K2.7-Code` · 31 LLM turns · 30 tool calls · 24.9s · 530248 in / 2447 out tokens_

<!-- ci-dashboard-recap:start -->

---

### CI recap

**Dashboard:** [View test results in Grafana](https://transformers-ci.lor-e.huggingface.cool/d/pytest-observability-by-pr/pytest-observability-branch?var-pr=46951)
**Latest run:** [28412442330:1](https://github.com/huggingface/transformers/actions/runs/28412442330)
**Result:** `failure` | **Jobs:** 14 | **Tests:** 73,512 | **Failures:** 65 | **Duration:** 17h 10m

<!-- ci-dashboard-recap:end -->

Comments:
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