Instructions to use hf-internal-testing/tiny-random-UMT5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UMT5EncoderModel with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-UMT5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-UMT5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-UMT5EncoderModel: direct link, hf CLI and curl.
- Browser
- Download file 33 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-UMT5EncoderModel/resolve/78e919f1cce7529a2c1a76f56b8db8846af294ea/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-UMT5EncoderModel@78e919f1cce7529a2c1a76f56b8db8846af294ea/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-UMT5EncoderModel/resolve/78e919f1cce7529a2c1a76f56b8db8846af294ea/pytorch_model.bin
33 MB
- Xet hash:
- 4fa4fff7343eff59f5b436152fc54065267167ddc3d6eeefe206e31e78d1f7a2
- Size of remote file:
- 33 MB
- SHA256:
- 8cde0576672ce50e74210c46904357dd95813c72db341702469d9bbf60f44b5c
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