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:
- d58e5e804ea86e07945f3420290af7988bc83084980c846899d0cc143adf9b78
- Size of remote file:
- 4.09 kB
- SHA256:
- 5e554c7eee5646d2e535c6d632e2fa9f9bcecb4350d4770d2cd31e2b67903a18
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