Instructions to use nguyenkhoa2407/favs_token_classification_v2_updated_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyenkhoa2407/favs_token_classification_v2_updated_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nguyenkhoa2407/favs_token_classification_v2_updated_data")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nguyenkhoa2407/favs_token_classification_v2_updated_data") model = AutoModelForTokenClassification.from_pretrained("nguyenkhoa2407/favs_token_classification_v2_updated_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d51cfa04c2a668b63e285dd6cb79d34a2f39e21b3d44ab87b88d759a2dc9b1e
- Size of remote file:
- 3.38 kB
- SHA256:
- 11b3d281fe28ea4472bfe8894e69841b6ed13cbdac06e515763955be64b8f019
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