Instructions to use MultiAI/falcon_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MultiAI/falcon_test 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, "MultiAI/falcon_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26ef785e2b094ca5a7abcf94ed26db92df8fd7cc4a3a8f620aa7308ab3e2edf0
- Size of remote file:
- 18.9 MB
- SHA256:
- e85e221a1550ccbcb2842f61736df8dcd727ac1e6b1c7aac32c6c324ea79a2d5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.