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:
- d68b77dec8a9364423265d69348d08065cd040d5dc8e867df489443d49af1f9d
- Size of remote file:
- 3.63 kB
- SHA256:
- add057b3f10b715ec0a11f32f91bc3ea350b0785e6a2d93353237c40e5daf23b
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