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:
- f157acb087e2171036d16a423bacb7007849dafc257bd9ee69f432e21167b58a
- Size of remote file:
- 42.3 MB
- SHA256:
- a1830d274fa518711059e0d94823ebcf4e1a6c34f075b03258e6c8dba7783679
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