Instructions to use hf-internal-testing/tiny-random-MT5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MT5EncoderModel with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MT5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MT5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MT5EncoderModel: direct link, hf CLI and curl.
- Browser
- Download file 32.1 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MT5EncoderModel/resolve/refs%2Fpr%2F23/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MT5EncoderModel@refs/pr/23/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MT5EncoderModel/resolve/refs%2Fpr%2F23/model.safetensors
32.1 MB
- Xet hash:
- b13fb0866e6837a9b2b291b72f935c6bdc8db8f0280b63ace19e1bbad87d8c6b
- Size of remote file:
- 32.1 MB
- SHA256:
- 4d1b776216d5b5d28652bb3c4bf11a8fe2565fd3e5134fd10aaf370e8cb13c79
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