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:
- 8303cc85761aa14e56077b85bf7f7e6ad5c26e1896dba177aaac9dbe99c0d9fb
- Size of remote file:
- 3.57 kB
- SHA256:
- 1b3b28c291c5df8fabc989c8ed144a62c2ec1f2cdcf7c81c5a996b0218035e69
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