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-00001-of-00002.bin from DeepFloyd/t5-v1_1-xxl: direct link, hf CLI and curl.
- Browser
- Download file 9.45 GB
-
https://huggingface.co/DeepFloyd/t5-v1_1-xxl/resolve/main/pytorch_model-00001-of-00002.bin
- Command line
-
hf download hf://DeepFloyd/t5-v1_1-xxl/pytorch_model-00001-of-00002.bin
-
curl -L -o pytorch_model-00001-of-00002.bin https://huggingface.co/DeepFloyd/t5-v1_1-xxl/resolve/main/pytorch_model-00001-of-00002.bin
9.45 GB
- Xet hash:
- 14907d527223e24c96e67fcdeccf15983ee6790c0e8c05d20c0021192c6442b8
- Size of remote file:
- 9.45 GB
- SHA256:
- 2f71ad0624095dae788b1023081dda1b4040bd24f7244a5b5b46eebc09825839
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