Instructions to use vietnqw/mt0_large-sft-multitasks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vietnqw/mt0_large-sft-multitasks with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vietnqw/mt0_large-sft-multitasks") model = AutoModelForSeq2SeqLM.from_pretrained("vietnqw/mt0_large-sft-multitasks", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vietnqw/mt0_large-sft-multitasks: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/vietnqw/mt0_large-sft-multitasks/resolve/main/tokenizer.json
- Command line
-
hf download hf://vietnqw/mt0_large-sft-multitasks/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vietnqw/mt0_large-sft-multitasks/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 8363914e0da6964ebc0ad2b92a8e28640c1ae087aa4e94a6145a92af2bb5437e
- Size of remote file:
- 16.3 MB
- SHA256:
- 4ee660ae764cd56ecac9dbe82d766502034efac119fc579414afcd68d4f6b922
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