Instructions to use DeepFloyd/t5-v1_1-xxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepFloyd/t5-v1_1-xxl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DeepFloyd/t5-v1_1-xxl") model = AutoModel.from_pretrained("DeepFloyd/t5-v1_1-xxl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00002-of-00002.bin from DeepFloyd/t5-v1_1-xxl: direct link, hf CLI and curl.
- Browser
- Download file 9.6 GB
-
https://huggingface.co/DeepFloyd/t5-v1_1-xxl/resolve/main/pytorch_model-00002-of-00002.bin
- Command line
-
hf download hf://DeepFloyd/t5-v1_1-xxl/pytorch_model-00002-of-00002.bin
-
curl -L -o pytorch_model-00002-of-00002.bin https://huggingface.co/DeepFloyd/t5-v1_1-xxl/resolve/main/pytorch_model-00002-of-00002.bin
9.6 GB
- Xet hash:
- ac4eca8155f1a9c3ecc6a11b738a31646129ffb94948c7ae662374cecddb6460
- Size of remote file:
- 9.6 GB
- SHA256:
- 4f68f80678299ac59f69b3550ebd47b966571920d8f9e71f42ab61fabaaed868
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