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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:38b7e655177c484949570b4897cc40fc6535edbe8f5ee9b898f12f755c6a6272
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size 430940084
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