Instructions to use bigscience/T0p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigscience/T0p with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bigscience/T0p") model = AutoModelForSeq2SeqLM.from_pretrained("bigscience/T0p", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from bigscience/T0p: direct link, hf CLI and curl.
- Browser
- Download file 44.5 GB
-
https://huggingface.co/bigscience/T0p/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://bigscience/T0p/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/bigscience/T0p/resolve/main/pytorch_model.bin
44.5 GB
- Xet hash:
- 9e476a06f4e66b3ffb9fd42a2eddb0bceeba9231a08e72b25a0691487c46d2b6
- Size of remote file:
- 44.5 GB
- SHA256:
- 391ead49e634e3939218ab2f0bde7b80c431b1d397e2262b46168f495d7a72f8
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