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:
- 8c6441d636db951a0873a9449988a555e3e89f9672dfd0e58f6cae4504946135
- Size of remote file:
- 6.71 kB
- SHA256:
- cea3ca645a5c3b800faa7832f2179f1c883e2efd7cf40cd38cec614fb5d22903
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