Instructions to use havinash-ai/0bf299a9-2c97-48d7-81e7-cbdd529f495f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/0bf299a9-2c97-48d7-81e7-cbdd529f495f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "havinash-ai/0bf299a9-2c97-48d7-81e7-cbdd529f495f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d9188d29e06641298a46c7a3413ffe998bf1203be74a0c18bf791698f76445b
- Size of remote file:
- 6.78 kB
- SHA256:
- a51b488cd54f0da2cea782387020cfe9b269d2b20bdb48a3ea848a1bc9c23086
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