Instructions to use erickrribeiro/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erickrribeiro/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="erickrribeiro/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("erickrribeiro/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("erickrribeiro/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2edbd75e3e2f7a338056d2943a435ecc8692cf81d852299c72c2ef953cd4966a
- Size of remote file:
- 431 MB
- SHA256:
- 8f3efe496139bc3cb7c05e391859b4a9080680591645d20e117340a47ff4cf79
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