Instructions to use hf-internal-testing/tiny-random-CodeGenModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CodeGenModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-CodeGenModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-CodeGenModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-CodeGenModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ceeb998d237dcb2e87be14e4b521dd961457ebe9f36740061443d6bf11f7dae6
- Size of remote file:
- 841 kB
- SHA256:
- 29479c11680ca77d086472be47752fdf848b066cf87dfc3b3ff299cc9da7fe4f
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