Instructions to use anyuanay/my_finetuned_wnut_model_1012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anyuanay/my_finetuned_wnut_model_1012 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="anyuanay/my_finetuned_wnut_model_1012")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("anyuanay/my_finetuned_wnut_model_1012") model = AutoModelForTokenClassification.from_pretrained("anyuanay/my_finetuned_wnut_model_1012") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 089cd5fe1d1fe366ddff8a8f38e6b7c0c0f04a8e3daae493f97c8734c1757093
- Size of remote file:
- 431 MB
- SHA256:
- 3808676fca59b0a50c7ba789048e6a5433fbb27a4c0f6ed604b2975cd2597c08
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