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:
- f751dce38d9d6103be5a8074fcfd420f6d8db89319e2041e0245de2e7387682f
- Size of remote file:
- 8.45 MB
- SHA256:
- 3c0abf9b45af9516d1aa1a80a92fa0ccbcea9058ec0c110a9962deb004e942ff
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