Instructions to use seanmor5/tiny-random-phi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seanmor5/tiny-random-phi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="seanmor5/tiny-random-phi")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("seanmor5/tiny-random-phi") model = AutoModel.from_pretrained("seanmor5/tiny-random-phi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74b51dc6041cea50b9cdedf765e0ade110bf07ec752d6cee2ea70d82f83cd271
- Size of remote file:
- 188 kB
- SHA256:
- bdc95d3fb7429c63261d1d19d1b82da55e145449d71da9e4cfbb847f026759e7
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