Instructions to use worldboss/falcon-7b-worldboss-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use worldboss/falcon-7b-worldboss-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "worldboss/falcon-7b-worldboss-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 710b7a2f959047e1d957299d077e654de383857d4c2c5aa2d2dde3a6a96e118c
- Size of remote file:
- 14.6 kB
- SHA256:
- 01a42de28d0225cbeb5044d25abea7fe423b23d9a0394f696544cfc3b8dc5699
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.