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:
- 8689f2cdb51ff8b5bd929099ff1c4cea8932ae6158749021e36a4eb78a0ac7ae
- Size of remote file:
- 188 kB
- SHA256:
- 585d843aa23b1690c1eaf5177baf6952dbd1729eda5ca97df159952315f68d48
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