Instructions to use shyam1909/falcon7binstruct_HtmlCodeGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shyam1909/falcon7binstruct_HtmlCodeGeneration with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("vilsonrodrigues/falcon-7b-instruct-sharded") model = PeftModel.from_pretrained(base_model, "shyam1909/falcon7binstruct_HtmlCodeGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4e33728465a36e12d46aedbbc7da6c1ec308aa89b2ad2394768e1825118f68e
- Size of remote file:
- 261 MB
- SHA256:
- 1343d85ed304b68d341e1b47cb3df643c05eccaacfa97b79e031fe76b1ecede0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.