Instructions to use mrhunghd/ff0fc77d-58ee-4b2b-bf47-7da7680efc4e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrhunghd/ff0fc77d-58ee-4b2b-bf47-7da7680efc4e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-2-7b-chat") model = PeftModel.from_pretrained(base_model, "mrhunghd/ff0fc77d-58ee-4b2b-bf47-7da7680efc4e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c49fea3ff8e4a702ea356a7d8f072ec39c32abf7555fc83cb717e69070d12f9
- Size of remote file:
- 80.1 MB
- SHA256:
- 086c187617bed6ca54acac78ad89ecf599e14ec1f46293d5ae70932205f18223
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