Instructions to use hf-tiny-model-private/tiny-random-CTRLModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-CTRLModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-CTRLModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-CTRLModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-CTRLModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38274c2848cc17b452eaeae9eab6e5911fbb17a07e814b7d601c0e1a659d1b3b
- Size of remote file:
- 42.4 MB
- SHA256:
- 029f0ec95e3b462a4ab057ab1423f2fef13a1db360cddfe2fe0eb07eec5970ab
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