Instructions to use brunodorneles/ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brunodorneles/ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="brunodorneles/ner_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("brunodorneles/ner_model") model = AutoModelForTokenClassification.from_pretrained("brunodorneles/ner_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Create config.json
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Upload vocab.txt
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Upload tokenizer_config.json
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Upload special_tokens_map.json
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Upload idx2tag.json
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Upload added_tokens.json
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add model
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initial commit
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