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:
- bb70ac82e1abcf0c82211581d639efba3c1de3bb8823f949975177c4b0d199b7
- Size of remote file:
- 188 kB
- SHA256:
- 7a5f02a98bb2e3642f11c1a70ac58051eeda834ea84912a9da2666026eb5346e
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