Instructions to use hf-internal-testing/tiny-random-UMT5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UMT5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-UMT5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-UMT5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1af5a7381d6585efe8a9a76fe4418fd2169157164d8f48157a4d8955f4b5f26d
- Size of remote file:
- 33 MB
- SHA256:
- 8255aa06ba691729ac8e7ef3ff9dcc2184bd9448d93ae01bbf18945ea98d8058
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