Instructions to use kobkrit/thai-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kobkrit/thai-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kobkrit/thai-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("kobkrit/thai-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kobkrit/thai-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 977 MB
-
https://huggingface.co/kobkrit/thai-t5-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kobkrit/thai-t5-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kobkrit/thai-t5-base/resolve/main/pytorch_model.bin
977 MB
- Xet hash:
- 05406c2b510928d53ab4c9089cc2ca510524c3964028a80d0fbc0bb4792b96a4
- Size of remote file:
- 977 MB
- SHA256:
- 2b68f4068381b4e94957c9e30881436a315b22232860cac19454931e608191ce
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