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 model.safetensors from hf-internal-testing/tiny-random-UMT5EncoderModel: direct link, hf CLI and curl.
- Browser
- Download file 32.9 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-UMT5EncoderModel/resolve/refs%2Fpr%2F28/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-UMT5EncoderModel@refs/pr/28/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-UMT5EncoderModel/resolve/refs%2Fpr%2F28/model.safetensors
32.9 MB
- Xet hash:
- 42a3546fbe012618a08d8862ed0b96d99a49597900176f3449c5e46a7495477a
- Size of remote file:
- 32.9 MB
- SHA256:
- d1367d61178ca6711468d659ff3caebbaf6a00b1eb49326bf19d2180cf5a0526
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