Instructions to use cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84/resolve/main/adapter_model.bin
- Command line
-
hf download hf://cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- 799b090758d1b9146135d8c45312a4728de049e950caa7a0d94c532c02eb317e
- Size of remote file:
- 84 MB
- SHA256:
- 340a7fc5118e62e67fb5cfe0758391843eac42ca33ebb0eb31e01869f3061345
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