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:
- ebfd4f5ebdfc91cea312ffca255a0068cc97432e123e713bb9eb668f5f43995d
- Size of remote file:
- 168 MB
- SHA256:
- 321482846f466cd523d19af3e18e2db6b91553124b2134a7e8bdd74280213be6
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