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:
- 1a3d80a3c176d46b01e145a89bf98d1d60c04e3d5d6f46fc681685af5b369214
- Size of remote file:
- 189 kB
- SHA256:
- c977627f70843605da189e9d0891065d82a7da40fb8be6987f4427a2a7b02e69
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