Instructions to use nhungphammmmm/351fd528-8143-4db7-9bf0-03fba77c2b0a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/351fd528-8143-4db7-9bf0-03fba77c2b0a 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, "nhungphammmmm/351fd528-8143-4db7-9bf0-03fba77c2b0a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5510a301d3eb6a296ca74e01014642a28e56fcb6e3d9c8614e5a9967f1f9630
- Size of remote file:
- 6.78 kB
- SHA256:
- ba4c5940fb1393319a29ebcf8de2f7883cd1caa76fad19598bc5d500d71806fb
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