Instructions to use bakedpotat/T5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bakedpotat/T5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bakedpotat/T5EncoderModel") model = AutoModel.from_pretrained("bakedpotat/T5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8f8121fa30e7fb4af8389298a3f322ffdc4702a952a4630953d01a23b98f92e
- Size of remote file:
- 7.92 GB
- SHA256:
- c939e223d7b2d41951b27b6d9327ad45d079eb66d01e75f0a3ef59f05cc807a6
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