Instructions to use mcmonkey/google_t5-v1_1-xxl_encoderonly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcmonkey/google_t5-v1_1-xxl_encoderonly with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mcmonkey/google_t5-v1_1-xxl_encoderonly") model = AutoModel.from_pretrained("mcmonkey/google_t5-v1_1-xxl_encoderonly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from mcmonkey/google_t5-v1_1-xxl_encoderonly: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
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https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly/resolve/main/spiece.model
- Command line
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hf download hf://mcmonkey/google_t5-v1_1-xxl_encoderonly/spiece.model
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curl -L -o spiece.model https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly/resolve/main/spiece.model
792 kB
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