Instructions to use WangXFng/Instruments-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use WangXFng/Instruments-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "WangXFng/Instruments-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f4a1b5095b06374eee692dd0612648270bb710e03c8c82b4647da08cf7e1042
- Size of remote file:
- 5.24 kB
- SHA256:
- 4c70d7f9bd76c9140f0dda5cc4a9d828fcf638aedffbb702d6d27622ffa21aa2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.