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/2894e49c9fbd17ea4b3dab56ec388be354c1a5f0/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-UMT5EncoderModel@2894e49c9fbd17ea4b3dab56ec388be354c1a5f0/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-UMT5EncoderModel/resolve/2894e49c9fbd17ea4b3dab56ec388be354c1a5f0/pytorch_model.bin
33 MB
- Xet hash:
- 66a15dd2933e37e23db52504fd00c5491dffc8a6f393aea2a7c9982499ddfd9c
- Size of remote file:
- 33 MB
- SHA256:
- b8d50db1b0cc449c4a673207b9fcbb53390242b86ab0090f8bef0db58d79fd75
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