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:
- 4cbacdeb1b36cb5feebba5c5fff55385a6a911c729d4d74fe36ff659642e73e3
- Size of remote file:
- 431 MB
- SHA256:
- 9ce102e420f27c022d1e5fc6713d0b25912da34529ba53484ad0e3f784c8342d
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