Instructions to use nhungphammmmm/2b68371d-df86-4324-ade6-12c43bb36099 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/2b68371d-df86-4324-ade6-12c43bb36099 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/2b68371d-df86-4324-ade6-12c43bb36099") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nhungphammmmm/2b68371d-df86-4324-ade6-12c43bb36099: direct link, hf CLI and curl.
- Browser
- Download file 80.1 MB
-
https://huggingface.co/nhungphammmmm/2b68371d-df86-4324-ade6-12c43bb36099/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nhungphammmmm/2b68371d-df86-4324-ade6-12c43bb36099/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nhungphammmmm/2b68371d-df86-4324-ade6-12c43bb36099/resolve/main/adapter_model.bin
80.1 MB
- Xet hash:
- 6fc3735b2f4103db280ea2d8d0a6efa46e7f0b1e222907c949f6779d4e5cf0cc
- Size of remote file:
- 80.1 MB
- SHA256:
- 57f95f462f7dc3e0c4281f0ad43c821ec4e3f174b22bed90806dcbacd41a2884
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