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:
# 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
- Xet hash:
- faf035b8e79f7c30c8dbf0c690b1b800c202b43f653f182246152881e3dcad7b
- Size of remote file:
- 1.2 GB
- SHA256:
- c8690e53efee2423916ba60a986728222fcd8d82e13a856dd4107e68864d1e57
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