Instructions to use heyygarvit/contentmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use heyygarvit/contentmodel 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, "heyygarvit/contentmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3815878e4a362aba059bda7af8e56a031cbaa4b96e948e225d4e9728c400c19
- Size of remote file:
- 18.9 MB
- SHA256:
- 7cf6b1b601f62ebb4483815a24c9a2ad5e7b98126c606cb39e923f0d942a531a
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