Token Classification
Transformers
Safetensors
longformer
Generated from Trainer
Eval Results (legacy)
Instructions to use Theoreticallyhugo/longformer-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/longformer-simple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/longformer-simple")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/longformer-simple") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/longformer-simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
config.json
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"pad_token_id": 1,
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"sep_token_id": 2,
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"torch_dtype": "float32",
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"transformers_version": "4.37.
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"type_vocab_size": 1,
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"vocab_size": 50265
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}
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"pad_token_id": 1,
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"sep_token_id": 2,
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"torch_dtype": "float32",
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"transformers_version": "4.37.2",
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"type_vocab_size": 1,
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"vocab_size": 50265
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}
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model.safetensors
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size 592324828
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e71d343accf84f49061c265ded717b6df58eff8aad1998817ab62cba43d11d3d
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size 4664
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