Instructions to use avnishkr/falcon_squad-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use avnishkr/falcon_squad-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct") model = PeftModel.from_pretrained(base_model, "avnishkr/falcon_squad-instruct") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b04d5e8975d82de455262609906d2f17feec9071ce33e2c5880b8e9e14895f29
- Size of remote file:
- 18.9 MB
- SHA256:
- b74c3ff1a33a9712b71e49717ac099304459f0eaf3273deff1cdb3cfeee36ed6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.