Instructions to use hf-internal-testing/tiny-random-TransfoXLModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-TransfoXLModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-TransfoXLModel")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-TransfoXLModel", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc5caff9e09b846ee253dbc5f77c1f126e33d881eb43fb1d69ac2608b478bc3f
- Size of remote file:
- 4.59 MB
- SHA256:
- 9665cd372a91c240977f79dd5c1268bb3989ef1ffdaa822a6573e77aacfb78fb
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