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%2F44/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MT5EncoderModel@refs/pr/44/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MT5EncoderModel/resolve/refs%2Fpr%2F44/model.safetensors
32.1 MB
- Xet hash:
- 440c1e46b9fb71ec5423148d21ccad5c27af67a1107aace4958683678afd9e62
- Size of remote file:
- 32.1 MB
- SHA256:
- 956dd4069c00376ab46ea0399cfa1882d56f4addf9c9a891c97e9f4cad3e9250
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