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:
- dc2c14f23d09c4cad27652e2b3a51d9e63c9f7cce6aff1188fae048cb23feea2
- Size of remote file:
- 8.45 MB
- SHA256:
- 326c63563d151fea54a6c182c9adae05f67f418ebb28cfc1782fb9a114daf279
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