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:
- 7395f18bc4a88048199d50cbf8235a5e5fa543c17b9726c5fbfc3570a5664da4
- Size of remote file:
- 1.71 MB
- SHA256:
- 06f71b5daa49dd3b4c2355ce5e0e07c6e339f2036eb645667108ae28472f3b4d
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