Instructions to use hf-internal-testing/tiny-random-PersimmonModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PersimmonModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-PersimmonModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PersimmonModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-PersimmonModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c222b5a693821824fb2aeb73ec25f8d39dcad12a47d8bebf1d78d146129ebc1f
- Size of remote file:
- 33.6 MB
- SHA256:
- 9a949c84b4282517a0635242bc6f46b885d1b263db84bf8d0617dfdda5087686
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