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%2F17/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MT5EncoderModel@refs/pr/17/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MT5EncoderModel/resolve/refs%2Fpr%2F17/model.safetensors
32.1 MB
- Xet hash:
- 497be7a7d7c74594dc1e4e1fa4b2b5efd0816a104381fe0a9c4f469d9ec21eac
- Size of remote file:
- 32.1 MB
- SHA256:
- b483d0fe61c1931c7aa163721a1af8702e0197563806696aa16a3bf2591e2929
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