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:
- 78f5da320b0af3da8f9365723010d8e17784c2e0f70e9c235008b4972858f021
- Size of remote file:
- 1.7 MB
- SHA256:
- e234334d42c1409e2ad750b75f5709b7f96b2ea7c139ed466c4d70ef965c3939
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