Instructions to use mireiaplalis/bert-base-cased-finetuned-ner-cadec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mireiaplalis/bert-base-cased-finetuned-ner-cadec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mireiaplalis/bert-base-cased-finetuned-ner-cadec")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mireiaplalis/bert-base-cased-finetuned-ner-cadec") model = AutoModelForTokenClassification.from_pretrained("mireiaplalis/bert-base-cased-finetuned-ner-cadec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4ea3f57c550eb5c5a06d739258690eba7fff71d9f50415d962abaeed9395f2c
- Size of remote file:
- 4.6 kB
- SHA256:
- 429459753cc7493afcc6ae083684e47b725437b30efc4b0be3051fa1dc446c30
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