Instructions to use dondosss/rubert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dondosss/rubert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dondosss/rubert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dondosss/rubert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("dondosss/rubert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +2 -2
- model.safetensors +2 -2
- training_args.bin +2 -2
config.json
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "
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"transformers_version": "4.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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model.safetensors
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:173181064db6c4cef0c1756babed4d032150fcb1e542623ef3c02666fce2d960
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size 4984
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