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:
- 0f33ebd0b1af3ef1c7a47aededd1fdc788db0e0dfcf7a08b9ff99eb2b674dc8c
- Size of remote file:
- 4.25 MB
- SHA256:
- 52c5cf3dc4671c6b528fb6cd298bdbf7535f361e5c1cde78b8afb91518484463
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