Instructions to use SAI2-EXP/TNANA-th-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAI2-EXP/TNANA-th-th with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SAI2-EXP/TNANA-th-th") model = AutoModelForSeq2SeqLM.from_pretrained("SAI2-EXP/TNANA-th-th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35c6af578c700cc2bbf196d4e916a0490fe2a8fcaf6ed054ccd3924260305f52
- Size of remote file:
- 305 MB
- SHA256:
- 763adc0bf39d13329d22a4f1c987a4c9be7eecd44a213e4ad98e37500986a6f2
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