Instructions to use youngko/llm-health-it-ft-completiononly-chunk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use youngko/llm-health-it-ft-completiononly-chunk with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "youngko/llm-health-it-ft-completiononly-chunk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cd45c9d4d5dc61b69e1ee8928462896375702dfaf2db5caa09ab21d02aad75a
- Size of remote file:
- 4.48 kB
- SHA256:
- 2e837035e0723ff8e925e41d0d1b4ed8434da074cecb450eb106c451feddb3c9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.