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:
- 1e680f65fe0b3274c0d9329dd4e1cb31ad50767b11f0e5e5fd8b1b24bef632b5
- Size of remote file:
- 4.25 MB
- SHA256:
- f5ede1bf0a88b52a5df6c5cda2b002611326678327f7a48cca4eeac277f73bad
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