Instructions to use wennycooper/token-classification-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wennycooper/token-classification-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wennycooper/token-classification-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wennycooper/token-classification-bert-base-uncased") model = AutoModelForTokenClassification.from_pretrained("wennycooper/token-classification-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3801b3605b7a3b6fd7cbc25b5a58c9f160bfe2a6b2d69ff96aa70f0e6e5b148e
- Size of remote file:
- 4.16 kB
- SHA256:
- b042e5ae7d7611818d1770cfc47826ca1cb0dc75aee2b87d706c8dce12f34558
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