Instructions to use hf-tiny-model-private/tiny-random-TransfoXLModel 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-TransfoXLModel 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-TransfoXLModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-TransfoXLModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-TransfoXLModel: direct link, hf CLI and curl.
- Browser
- Download file 4.59 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-TransfoXLModel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-TransfoXLModel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-TransfoXLModel/resolve/main/pytorch_model.bin
4.59 MB
- Xet hash:
- 3e889baace3a8b6523fa50f80d94b8d8f6255f80356c83bbae886d46c6fdd3b1
- Size of remote file:
- 4.59 MB
- SHA256:
- f56e3270cbef7d7dcf5a21ffdcd30acef5cf9aef4877bd90ccba36a204155557
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