Instructions to use thalllsssss/d8ef706e-6fba-4485-a410-81b7b19dda39 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/d8ef706e-6fba-4485-a410-81b7b19dda39 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "thalllsssss/d8ef706e-6fba-4485-a410-81b7b19dda39") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thalllsssss/d8ef706e-6fba-4485-a410-81b7b19dda39: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/thalllsssss/d8ef706e-6fba-4485-a410-81b7b19dda39/resolve/main/training_args.bin
- Command line
-
hf download hf://thalllsssss/d8ef706e-6fba-4485-a410-81b7b19dda39/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thalllsssss/d8ef706e-6fba-4485-a410-81b7b19dda39/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 1382a1b796e53a31a4b95f64265e0ec6f7c095bb0f9d4c10a4fd2144b9a9faa2
- Size of remote file:
- 6.78 kB
- SHA256:
- db78893296866036a3ce3a578e1b56fdc1b699545079f8ffafaca5977c921be5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.