Instructions to use SuperAI2-Machima/mt5-small-thai-qg-v2 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-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SuperAI2-Machima/mt5-small-thai-qg-v2") model = AutoModelForSeq2SeqLM.from_pretrained("SuperAI2-Machima/mt5-small-thai-qg-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from SuperAI2-Machima/mt5-small-thai-qg-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/SuperAI2-Machima/mt5-small-thai-qg-v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SuperAI2-Machima/mt5-small-thai-qg-v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SuperAI2-Machima/mt5-small-thai-qg-v2/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- 41a96f6ec7cffcfc4f92c572849b498a31bc22a83a394bf565820beb4fd4a159
- Size of remote file:
- 1.2 GB
- SHA256:
- 3adcfe5e7c93d3a11f498a94b31302f3f866ffc15f9b43b4d4ba94d2cea0e250
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