Instructions to use LangAGI-Lab/M2WEB-HTML-VF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LangAGI-Lab/M2WEB-HTML-VF with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "LangAGI-Lab/M2WEB-HTML-VF") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13980fc46ec42b88fea70488de04343183c5d7ed5168c1b0d9479d159f52af40
- Size of remote file:
- 336 MB
- SHA256:
- 2e1897358a50f79250db0490d182afe40542bcfc94e6def6495f4bc98c54a0e9
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