Instructions to use c-tawayip/mt5-small-Multitask-Thai-Text-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use c-tawayip/mt5-small-Multitask-Thai-Text-Generator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("c-tawayip/mt5-small-Multitask-Thai-Text-Generator") model = AutoModelForSeq2SeqLM.from_pretrained("c-tawayip/mt5-small-Multitask-Thai-Text-Generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from c-tawayip/mt5-small-Multitask-Thai-Text-Generator: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/c-tawayip/mt5-small-Multitask-Thai-Text-Generator/resolve/main/tokenizer.json
- Command line
-
hf download hf://c-tawayip/mt5-small-Multitask-Thai-Text-Generator/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/c-tawayip/mt5-small-Multitask-Thai-Text-Generator/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- fd959411a592ae13a35ba6b6f19f7c253cfe02d9e118588e4c7f8ff0ed5062af
- Size of remote file:
- 16.3 MB
- SHA256:
- 95b26dcd98e916aa5186b46663db0c8b575e279ef5644bf18f2a5888e7ea8991
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.