Instructions to use osanseviero/test-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osanseviero/test-tiny-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="osanseviero/test-tiny-random")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("osanseviero/test-tiny-random") model = AutoModel.from_pretrained("osanseviero/test-tiny-random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 240ea1c7c6b19414b5fb3b6711757ac251be4a94e678b4758a7435868fb6a6fa
- Size of remote file:
- 453 kB
- SHA256:
- 11bb09d54e5ba74ac1dc1c497aa9f5f6141629164a6cad05c0e9b88dca4c550d
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