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:
- ce838cede95e55fb02e031ed6f6684859f6fafda5e9ec87fba00c8ee5114323a
- Size of remote file:
- 4.25 MB
- SHA256:
- 16bc6e7755c7d0f4368b908e185dcbcf2b0976c0d62afdbe4b298e8f4df639ec
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