Instructions to use google/t5-11b-ssm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-11b-ssm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-11b-ssm") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-11b-ssm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/t5-11b-ssm: direct link, hf CLI and curl.
- Browser
- Download file 45.2 GB
-
https://huggingface.co/google/t5-11b-ssm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/t5-11b-ssm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/t5-11b-ssm/resolve/main/pytorch_model.bin
45.2 GB
- Xet hash:
- 502b9a7a14be9b0323b4223b88721b0510589295aa56ccc12bbc88b36dd7c245
- Size of remote file:
- 45.2 GB
- SHA256:
- 8cfefafbe0f46c8ca3259d129f19bd812a878d5a808722e2225be66e2e371749
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