Instructions to use ymgong/distil_train_token_classification_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ymgong/distil_train_token_classification_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ymgong/distil_train_token_classification_2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ymgong/distil_train_token_classification_2") model = AutoModelForTokenClassification.from_pretrained("ymgong/distil_train_token_classification_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:58f703b44aa656dd56c2cdd7cef42df8e74516d47f066edb37029814196222ef
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size 265488472
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