Instructions to use svjack/prompt-extend-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use svjack/prompt-extend-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("svjack/prompt-extend-chinese") model = AutoModelForSeq2SeqLM.from_pretrained("svjack/prompt-extend-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04ef65cbca404d36899968419e9db939ebcb945ef23fe78ffdb46718b8b59fd6
- Size of remote file:
- 2.33 GB
- SHA256:
- ee5605a3ea0ad685aba8eea8f4a3e38adce9d70c35eee1036cb9cfcbe8ed668b
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