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 training_args.bin from cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84/resolve/main/training_args.bin
- Command line
-
hf download hf://cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cunghoctienganh/030f7904-b3a0-493f-8569-d12628e35d84/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- b46a45252c81e9653b40002bf24927fe6eed4c5c6fcdb3bdab5e3313a5b09fc8
- Size of remote file:
- 6.78 kB
- SHA256:
- 93b77d0cfaf306fc25e2f55c87291ef3f69fd70508ccd3100bf07f9d0d9e0c37
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