Instructions to use bigscience/T0_3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigscience/T0_3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bigscience/T0_3B") model = AutoModelForSeq2SeqLM.from_pretrained("bigscience/T0_3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bigscience/T0_3B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 GB
-
https://huggingface.co/bigscience/T0_3B/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bigscience/T0_3B/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bigscience/T0_3B/resolve/main/pytorch_model.bin
11.4 GB
- Xet hash:
- 2788b6458bf30b3325a839d38d69952240a66f459099dfaa03d37c5eba44b0b9
- Size of remote file:
- 11.4 GB
- SHA256:
- b4f755a1a41fd8569591096804d207a1d58f1e893b9175d4fa8d626fb5cec036
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