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 model.safetensors from bigscience/T0_3B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 GB
-
https://huggingface.co/bigscience/T0_3B/resolve/main/model.safetensors
- Command line
-
hf download hf://bigscience/T0_3B/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/bigscience/T0_3B/resolve/main/model.safetensors
11.4 GB
- Xet hash:
- 2dadfb440c382348086aa8c345ae8140142160cb017fe6b9c6d88c43b1ab987a
- Size of remote file:
- 11.4 GB
- SHA256:
- 6adbed46b2d65da3a43da32d3a2ab91eb643e5f359bd50a552f7d13bfe099a71
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.