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:
- f3f807067ecc7ea16694043423f411c519b2f451e944896c45fa78c0108ec35c
- Size of remote file:
- 3.96 kB
- SHA256:
- 29a0041f910705435df6304e464b15b3c1cac502f89afa175fd7e97d148b1dbe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.