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:
- 7ff0e8097ae7c529fd75318a775b3c6a9ced4ef7b7676f5db08b0f623e2326a9
- Size of remote file:
- 188 kB
- SHA256:
- 019a90b3cf276a85f616b82408eb838f9a5bc1b6f7a78aaa59489453082fd1c3
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