Instructions to use codewithdark/mlpr-qwen2.5-7b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codewithdark/mlpr-qwen2.5-7b-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "codewithdark/mlpr-qwen2.5-7b-instruct") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from codewithdark/mlpr-qwen2.5-7b-instruct: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/codewithdark/mlpr-qwen2.5-7b-instruct/resolve/main/training_args.bin
- Command line
-
hf download hf://codewithdark/mlpr-qwen2.5-7b-instruct/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/codewithdark/mlpr-qwen2.5-7b-instruct/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 996aa6a02d4548651f8a338cd6bc4d4695268e0b38c1b3b1ded6311404955f78
- Size of remote file:
- 5.24 kB
- SHA256:
- af285317a064c9e9214dac40364de5a55e439394a1517e660fba01fb69947db0
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