Instructions to use juierror/thai-news-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juierror/thai-news-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("juierror/thai-news-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("juierror/thai-news-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 586c24e0fcb3cee8f798918775534f3cc5adaa664775ef859c88ba810e4701a1
- Size of remote file:
- 1.2 GB
- SHA256:
- 413d657aa89164976986e06129f24e2a92665779b02faa4a72bd6c0d84b7cb5e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.