Instructions to use jethrowang/token_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jethrowang/token_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jethrowang/token_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jethrowang/token_classification_model") model = AutoModelForTokenClassification.from_pretrained("jethrowang/token_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bea45de9ae0fdfb2b542587b871e18903722e4e3417a633af3a92330513a6be
- Size of remote file:
- 266 MB
- SHA256:
- a1c878417e1ea993fafc9e1e52ba163295b4dc998b3718f71427cd96b0e59467
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