Instructions to use hf-internal-testing/tiny-random-MCTCTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MCTCTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MCTCTModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MCTCTModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 117dd219b7bfd0076b8f1aa1501ec0f25624c1c1573895ac7e64150daa154ad1
- Size of remote file:
- 23.2 MB
- SHA256:
- a7be41b56baefc10488f78d200b3c762a92afbf0ce81702be363fe0ac51f64ed
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