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:
- 412fe580463e70062134fa83a35ea833af93e09e7b85cc13906bd6c13d0ec041
- Size of remote file:
- 42.3 MB
- SHA256:
- f2952bec41f3b9e2daf51c50b92010e3b5e2c555c67c022ab54295d3f1a3b703
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