Instructions to use hf-internal-testing/tiny-random-CanineModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CanineModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-CanineModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-CanineModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-CanineModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3ddf57e2647eba40fbd36ce21b4a1e018c53af6dea78f5a91e79c9510e51be1
- Size of remote file:
- 4.49 MB
- SHA256:
- 6ef4d8c3179b4076ff6f565d46c4a94fdbb96ee032a43fb665f89e96c363bc12
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