Instructions to use BlackB/thai-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlackB/thai-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BlackB/thai-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("BlackB/thai-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from BlackB/thai-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 1.24 GB
-
https://huggingface.co/BlackB/thai-t5-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://BlackB/thai-t5-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/BlackB/thai-t5-base/resolve/main/flax_model.msgpack
1.24 GB
- Xet hash:
- 9f39ae0c91dc31033115624cbc570f7704a4aeb037465811072b1ff4e438aefc
- Size of remote file:
- 1.24 GB
- SHA256:
- 4369c67570641b9562e79657402991c9972322d9189e19d9835ed1d783ca7dd4
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