Instructions to use ZurichNLP/mlit-falcon-7b-ml2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZurichNLP/mlit-falcon-7b-ml2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b") model = PeftModel.from_pretrained(base_model, "ZurichNLP/mlit-falcon-7b-ml2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 941b124b0665a0917e622714c74b7ea798d0e6669c65a46e63a8dcf5cc104e66
- Size of remote file:
- 522 MB
- SHA256:
- 1def5bf290fca4a50f5c424c4d13d7c317bc86d0a4c803eed12fbbc4a937a81e
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