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:
- f1cb43d5c5814c5cd177dfc6e315f32caf3f5b74f7a68bd47be6fe85df8a05d1
- Size of remote file:
- 8.45 MB
- SHA256:
- 3ca6e1fbb4b59c37877282e9ea7480ddc49a3163613d533f18f72f77056c001f
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