Instructions to use hf-internal-testing/tiny-random-T5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-T5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9eba9de620f70c2d373596a5a193d8c0a6d25bdfb184a7213d2092c60e10470e
- Size of remote file:
- 8.45 MB
- SHA256:
- f39c5b614dadc8abe5c21018964afeff38a9891c55fdc36348b341b8f9da5172
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