Instructions to use SuperAI2-Machima/mt5-small-thai-qg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SuperAI2-Machima/mt5-small-thai-qg with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SuperAI2-Machima/mt5-small-thai-qg") model = AutoModelForSeq2SeqLM.from_pretrained("SuperAI2-Machima/mt5-small-thai-qg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SuperAI2-Machima/mt5-small-thai-qg: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/SuperAI2-Machima/mt5-small-thai-qg/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SuperAI2-Machima/mt5-small-thai-qg/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SuperAI2-Machima/mt5-small-thai-qg/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- 223fddce2eae5c76752443580a07b3c659952410ccf1ac3b73372fcd7d4d8d8e
- Size of remote file:
- 1.2 GB
- SHA256:
- f37c2252948abdc96d617594a3b25491be19bf95e35d921fd420cefecedc9e55
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