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:
- 2537bc8594be0494035884af9e2b314caaab290a0f75971cd758eb8748158816
- Size of remote file:
- 189 kB
- SHA256:
- 44f6765ffd54fcdc655e88d2822aa8da45982ef3332db0a924f71a57a6fb57c0
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