Instructions to use hf-internal-testing/tiny-random-PhiForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PhiForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-PhiForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PhiForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-PhiForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05418335bed70926983445fec7a7a91e889e70d7b3e5ccf78d9ecc1a34fff7dc
- Size of remote file:
- 189 kB
- SHA256:
- 11e06dadac6e71c73278219e1c1eb9364015399a5d9d88118c90fca438adb9c7
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