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:
- 607a7a6fe3afd5ab5604efeaebe93bb4b9f1b4e85805736ddb39bb6cd9a4b201
- Size of remote file:
- 8.45 MB
- SHA256:
- 34da968701a350447b92b0b77cda193d0ed0c71a526433e0597eb7a4d671c3ab
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