Instructions to use mT0/mt0_xl_default_mixture_ckpt_1012500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mT0/mt0_xl_default_mixture_ckpt_1012500 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mT0/mt0_xl_default_mixture_ckpt_1012500") model = AutoModelForSeq2SeqLM.from_pretrained("mT0/mt0_xl_default_mixture_ckpt_1012500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mT0/mt0_xl_default_mixture_ckpt_1012500: direct link, hf CLI and curl.
- Browser
- Download file 15 GB
-
https://huggingface.co/mT0/mt0_xl_default_mixture_ckpt_1012500/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mT0/mt0_xl_default_mixture_ckpt_1012500/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mT0/mt0_xl_default_mixture_ckpt_1012500/resolve/main/pytorch_model.bin
15 GB
- Xet hash:
- 167c011f060b2ec6b82011de136c1f38b9683ece454e54b428633eab3533909b
- Size of remote file:
- 15 GB
- SHA256:
- 92c348009a55f5e1a9abe40b97b802a2200faeca6097e6581668f72f704440af
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