Instructions to use ShehlaKanwal/counterspeech-zephyr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ShehlaKanwal/counterspeech-zephyr with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "ShehlaKanwal/counterspeech-zephyr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c93e02c3c87dcdd6b6eb8d4a2bc464a695c6b523f867a955f4e277ebfcacca0
- Size of remote file:
- 5.78 kB
- SHA256:
- b0e8684a260ccf95e2a2de98b1f74fc5665f2b0832383f5a872a784d9619bc5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.