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:
- 81a0e60cc76d78ee24654bf50372264ba06163e1fe819e6d164ef3167cb95794
- Size of remote file:
- 80.1 MB
- SHA256:
- 39f78612e66a9aac954bce33efb162382ba732d331e04a010d344edc9335c77d
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