Instructions to use ShinDC/llama_finetune_mind2web with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ShinDC/llama_finetune_mind2web with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "ShinDC/llama_finetune_mind2web") - Notebooks
- Google Colab
- Kaggle
Request for the notebook used to train the model.
#1
by animesh250 - opened
Hi! I am very new new to model training and huggingface in general. Can you please share the notebook that you used to train this model?
I was trying to finetune gemma2B on the a specific section of the mind2web dataset. However, all the examples I found on the web are for text based datasets(i.e books, news websites etc) I am not sure which columns of the dataset should I be using to train the model. My primary goal is to create a webagent to which I'll pass an HTML and instructions to perform on the given HTML.