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%2F28/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MT5EncoderModel@refs/pr/28/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MT5EncoderModel/resolve/refs%2Fpr%2F28/model.safetensors
32.1 MB
- Xet hash:
- 822d703c30b9441571f0d0262018e14fee01aa5ef995aa21a77e5a9ca995d876
- Size of remote file:
- 32.1 MB
- SHA256:
- 3f5532b61d8c0cab6b791e80eeecc1b311a3e81287805363c05b16a03f2e29ce
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