Token Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use raulgdp/xml-roberta-large-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raulgdp/xml-roberta-large-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="raulgdp/xml-roberta-large-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("raulgdp/xml-roberta-large-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("raulgdp/xml-roberta-large-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
config.json
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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"transformers_version": "4.42.4",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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model.safetensors
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runs/Aug06_03-15-31_93ddb70ba109/events.out.tfevents.1722914164.93ddb70ba109.889.0
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training_args.bin
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