Commit
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7332bf0
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Parent(s):
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Add SetFit model
Browse files- README.md +35 -33
- config_setfit.json +2 -2
- model.safetensors +1 -1
- model_head.pkl +2 -2
README.md
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@@ -8,26 +8,26 @@ tags:
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metrics:
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- accuracy
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widget:
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of
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hrs to 6 hrs, with a duration of
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- text: She is Female, her heart rate is
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She slept at
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of
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hrs to
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pipeline_tag: text-classification
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inference: true
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base_model: sentence-transformers/paraphrase-mpnet-base-v2
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split: test
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metrics:
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- type: accuracy
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value: 0.
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name: Accuracy
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---
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- **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
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- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
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- **Maximum Sequence Length:** 512 tokens
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- **Number of Classes:**
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<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
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<!-- - **Language:** Unknown -->
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<!-- - **License:** Unknown -->
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- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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### Model Labels
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| Label | Examples
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-
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## Evaluation
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### Metrics
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| Label | Accuracy |
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|:--------|:---------|
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| **all** | 0.
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## Uses
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("reecursion/few-shot-stress-detection")
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# Run inference
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preds = model("He is Male, his heart rate is
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```
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<!--
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### Training Set Metrics
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| Training set | Min | Median | Max |
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|:-------------|:----|:-------|:----|
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| Word count |
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| Label | Training Sample Count |
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|:------|:----------------------|
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### Training Hyperparameters
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- batch_size: (16, 16)
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### Training Results
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| Epoch | Step | Training Loss | Validation Loss |
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|:-----:|:----:|:-------------:|:---------------:|
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| 0.
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### Framework Versions
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- Python: 3.10.12
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- SetFit: 1.0.3
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- Sentence Transformers: 2.
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- Transformers: 4.38.2
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- PyTorch: 2.2.1+cu121
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- Datasets: 2.18.0
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metrics:
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- accuracy
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widget:
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- text: She is Female, her heart rate is 63, she walks 5000 steps daily and is Underweight.
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She slept at 22 hrs. Yesterday, she slept from 21.0 hrs to 5.0 hrs, with a duration
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of 380.0 minutes and 1 interruptions. The day before yesterday, she slept from
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22.0 hrs to 7.0 hrs, with a duration of 440.0 minutes and 0 interruptions.
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- text: He is Male, his heart rate is 70, he walks 8500 steps daily, and is Normal.
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He slept at 23 hrs. Yesterday, he slept from 23.0hrs to 8.0 hrs, with a duration
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of 350.0 minutes and 3 interruptions. The day before yesterday, he slept from
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22.0 hrs to 6.0 hrs, with a duration of 390.0 minutes and 1 interruptions.
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- text: She is Female, her heart rate is 85, she walks 3000 steps daily and is Overweight.
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She slept at 5 hrs. Yesterday, she slept from 6.0 hrs to 8.0 hrs, with a duration
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of 280.0 minutes and 2 interruptions. The day before yesterday, she slept from
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5.0 hrs to 9.0 hrs, with a duration of 320.0 minutes and 7 interruptions.
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- text: He is Male, his heart rate is 92, he walks 7500 steps daily, and is Normal.
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He slept at 4 hrs. Yesterday, he slept from 5.0hrs to 9.0 hrs, with a duration
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of 320.0 minutes and 3 interruptions. The day before yesterday, he slept from
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4.0 hrs to 10.0 hrs, with a duration of 350.0 minutes and 2 interruptions.
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- text: He is Male, his heart rate is 93, he walks 9800 steps daily, and is Normal.
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He slept at 0 hrs. Yesterday, he slept from 23.0hrs to 7.0 hrs, with a duration
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of 460.0 minutes and 0 interruptions. The day before yesterday, he slept from
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23.0 hrs to 7.0 hrs, with a duration of 425.0 minutes and 1 interruptions.
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pipeline_tag: text-classification
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inference: true
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base_model: sentence-transformers/paraphrase-mpnet-base-v2
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split: test
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metrics:
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- type: accuracy
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value: 0.6666666666666666
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name: Accuracy
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---
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- **Sentence Transformer body:** [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2)
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- **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
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- **Maximum Sequence Length:** 512 tokens
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- **Number of Classes:** 3 classes
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<!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
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<!-- - **Language:** Unknown -->
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<!-- - **License:** Unknown -->
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- **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
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### Model Labels
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| Label | Examples |
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|:------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| 1 | <ul><li>'He is Male, his heart rate is 64, he walks 10000 steps daily, and is Normal. He slept at 11 hrs. Yesterday, he slept from 22.0hrs to 11.0 hrs, with a duration of 765.0 minutes and 2 interruptions. The day before yesterday, he slept from 23.0 hrs to 8.0 hrs, with a duration of 527.0 minutes and 4 interruptions.'</li><li>'She is Female, her heart rate is 89, she walks 3873 steps daily and is Overweight. She slept at 10 hrs. Yesterday, she slept from 4.0 hrs to 6.0 hrs, with a duration of 120.0 minutes and 1 interruptions. The day before yesterday, she slept from 4.0 hrs to 9.0 hrs, with a duration of 300.0 minutes and 2 interruptions.'</li><li>'She is Female, her heart rate is 68, she walks 11000 steps daily and is Normal. She slept at 10 hrs. Yesterday, she slept from 1.0 hrs to 9.0 hrs, with a duration of 495.0 minutes and 0 interruptions. The day before yesterday, she slept from 1.0 hrs to 10.0 hrs, with a duration of 540.0 minutes and 1 interruptions.'</li></ul> |
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| 2 | <ul><li>'She is Female, her heart rate is 66, she walks 2413 steps daily and is Underweight. She slept at 8 hrs. Yesterday, she slept from 23.0 hrs to 7.0 hrs, with a duration of 472.0 minutes and 5 interruptions. The day before yesterday, she slept from 23.0 hrs to 5.0 hrs, with a duration of 344.0 minutes and 6 interruptions.'</li><li>'He is Male, his heart rate is 95, he walks 9000 steps daily, and is Normal. He slept at 10 hrs. Yesterday, he slept from 4.0hrs to 9.0 hrs, with a duration of 323.0 minutes and 5 interruptions. The day before yesterday, he slept from 2.0 hrs to 10.0 hrs, with a duration of 501.0 minutes and 6 interruptions.'</li><li>'She is Female, her heart rate is 66, she walks 2413 steps daily and is Underweight. She slept at 23 hrs. Yesterday, she slept from 23.0 hrs to 7.0 hrs, with a duration of 472.0 minutes and 5 interruptions. The day before yesterday, she slept from 23.0 hrs to 5.0 hrs, with a duration of 344.0 minutes and 6 interruptions.'</li></ul> |
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| 0 | <ul><li>'She is Female, her heart rate is 100, she walks 8000 steps daily and is Normal. She slept at 7 hrs. Yesterday, she slept from 2.0 hrs to 7.0 hrs, with a duration of 323.0 minutes and 0 interruptions. The day before yesterday, she slept from 0.0 hrs to 6.0 hrs, with a duration of 395.0 minutes and 2 interruptions.'</li><li>'He is Male, his heart rate is 93, he walks 9800 steps daily, and is Normal. He slept at 9 hrs. Yesterday, he slept from 23.0hrs to 7.0 hrs, with a duration of 460.0 minutes and 0 interruptions. The day before yesterday, he slept from 23.0 hrs to 7.0 hrs, with a duration of 425.0 minutes and 1 interruptions.'</li></ul> |
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## Evaluation
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### Metrics
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| Label | Accuracy |
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|:--------|:---------|
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| **all** | 0.6667 |
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## Uses
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# Download from the 🤗 Hub
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model = SetFitModel.from_pretrained("reecursion/few-shot-stress-detection")
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# Run inference
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preds = model("He is Male, his heart rate is 92, he walks 7500 steps daily, and is Normal. He slept at 4 hrs. Yesterday, he slept from 5.0hrs to 9.0 hrs, with a duration of 320.0 minutes and 3 interruptions. The day before yesterday, he slept from 4.0 hrs to 10.0 hrs, with a duration of 350.0 minutes and 2 interruptions.")
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```
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<!--
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### Training Set Metrics
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| Training set | Min | Median | Max |
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|:-------------|:----|:-------|:----|
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| Word count | 59 | 59.5 | 60 |
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| Label | Training Sample Count |
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|:------|:----------------------|
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| 0 | 2 |
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| 1 | 10 |
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| 2 | 4 |
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### Training Hyperparameters
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- batch_size: (16, 16)
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### Training Results
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| Epoch | Step | Training Loss | Validation Loss |
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|:-----:|:----:|:-------------:|:---------------:|
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| 0.025 | 1 | 0.421 | - |
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### Framework Versions
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- Python: 3.10.12
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- SetFit: 1.0.3
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- Sentence Transformers: 2.6.1
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- Transformers: 4.38.2
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- PyTorch: 2.2.1+cu121
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- Datasets: 2.18.0
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config_setfit.json
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{
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}
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"normalize_embeddings": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 437967672
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size 437967672
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model_head.pkl
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size 19327
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