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:
- 791a407299384bd467bc8b759f27879c199f8b59a9910d489da5dca03e1b5a07
- Size of remote file:
- 83.9 MB
- SHA256:
- 5dc87647d021eaf3c9f9d3b501329a8568e1262cf6ccc02385199f224c197809
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