Update checkpoint for transformers>=4.29
Browse filesFollowing the merge of [a PR](https://github.com/huggingface/transformers/pull/24310) in `transformers` it appeared that this model was not properly converted. This PR will fix the inference and was tested using the following script:
```python
>>> from transformers import AutoTokenizer, MarianMTModel
>>> tokenizer = AutoTokenizer.from_pretrained('Helsinki-NLP/opus-mt-tc-big-zle-it')
>>> inputs = tokenizer("' >>en<< Hey how are you?'", return_tensors="pt", padding=True)
>>> model = MarianMTModel.from_pretrained('Helsinki-NLP/opus-mt-tc-big-zle-it')
>>> print(tokenizer.batch_decode(model.generate(**inputs)))
["<pad> 'Hey how are you?'</s>"]
```
- .gitattributes +1 -0
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +3 -0
- pytorch_model.bin +2 -2
.gitattributes
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@@ -26,3 +26,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.spm filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.spm filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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config.json
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"share_encoder_decoder_embeddings": true,
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"static_position_embeddings": true,
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"torch_dtype": "float16",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 60974
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}
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"share_encoder_decoder_embeddings": true,
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"static_position_embeddings": true,
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"torch_dtype": "float16",
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"transformers_version": "4.34.0.dev0",
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"use_cache": true,
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"vocab_size": 60974
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}
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generation_config.json
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"num_beams": 4,
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"pad_token_id": 60973,
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"renormalize_logits": true,
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"transformers_version": "4.
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}
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"num_beams": 4,
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"pad_token_id": 60973,
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"renormalize_logits": true,
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"transformers_version": "4.34.0.dev0"
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}
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model.safetensors
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size 477740980
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 477797957
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