Instructions to use hf-internal-testing/tiny-random-PhiModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PhiModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-PhiModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PhiModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-PhiModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0cb0fdb7612ca9d70d3b9202a6f0f7b81946edbaaabe63e7459b3b1ed9c20bf
- Size of remote file:
- 188 kB
- SHA256:
- 12a09bf3f25fa8b9d17cda2aa79416667a72cd019830b539b48453ef32d4e094
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