Instructions to use tarabukinivan/7c60848a-6ba5-4df9-a1e7-e7c74860b0db with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/7c60848a-6ba5-4df9-a1e7-e7c74860b0db with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "tarabukinivan/7c60848a-6ba5-4df9-a1e7-e7c74860b0db") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7847f76a4b3b5e39ca1f857d0217584dfea4dd33a2ab7d64084bf2c9affd4299
- Size of remote file:
- 168 MB
- SHA256:
- ddb127c9ef67945d90136681cb965b8ce8b6585bc73325e1d05797d2e00d33bb
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