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:
- 97b4c6cca7341506a84930856a127660bc1be24be477cb737fdb476506c072a3
- Size of remote file:
- 6.65 kB
- SHA256:
- 454d23821aad34b7cc96a244fcd8ca1bc3cb29bace7588db40af8f267f25755e
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