Instructions to use laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/laquythang/c63ae018-2509-4e3c-a76c-a24c918c49ef/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- f2e15db8ccbd25dc7d6faa9d5d042facc2e3f3ab25041b55dbf6ab6a39fc501d
- Size of remote file:
- 6.78 kB
- SHA256:
- dd2fe535cdfba32953e201ae1e635c5abae68c01c577ee2a4da52b1f0a276007
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