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:
- c227d7df087493dfe1c8b23d5c4d6ee2f84bb22ea777225d0d5c3dc70cdc3a8d
- Size of remote file:
- 189 kB
- SHA256:
- 29a45fbaae0af70d648b5504f4f8c385edc58bf1ddf83776cdcdff3530cb4ede
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