Instructions to use mpalaval/assignment2_meher_test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpalaval/assignment2_meher_test3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mpalaval/assignment2_meher_test3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mpalaval/assignment2_meher_test3") model = AutoModelForTokenClassification.from_pretrained("mpalaval/assignment2_meher_test3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b35cc3bb459fcebc4fd7e05cbff78da3bd55ce16ee91bc783c91a0b6e6587f7e
- Size of remote file:
- 4.6 kB
- SHA256:
- ae3182f5edd5880870644a71737f065bc7e396667278f57db8abdc99a4b8c6a7
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