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:
# 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
- Xet hash:
- 6cd13857d92cf377af6f9814a9b6cfde9b66b53f7a2f85ccc5c3c6f5b98dbb81
- Size of remote file:
- 64.1 MB
- SHA256:
- bb301180e880a963e55131e4c0677e0f068e93eee96667345889426bc740ea2a
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