Instructions to use wisdominanutshell/transcript_summary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wisdominanutshell/transcript_summary with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "wisdominanutshell/transcript_summary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3df12540def390cd292ef914a147fb24bbb4a70892c304ef6937d5456763caa
- Size of remote file:
- 168 MB
- SHA256:
- 5fc62d8e279c3947b194cf8ff05ece642db7a401690857e38a5d7e66f9161fe8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.