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:
- cdd2120c05a53dafc45d9694c33decc9b33f4ff7db144b39dfee6c1978a1c109
- Size of remote file:
- 266 MB
- SHA256:
- 14985fe171ef9e854973c95e5fb9b89b1338d83bb010b46122c98ddb4e401274
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