Instructions to use tsystems/colqwen2-7b-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tsystems/colqwen2-7b-v1.0 with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen2-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "tsystems/colqwen2-7b-v1.0") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tsystems/colqwen2-7b-v1.0: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/tsystems/colqwen2-7b-v1.0/resolve/main/training_args.bin
- Command line
-
hf download hf://tsystems/colqwen2-7b-v1.0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tsystems/colqwen2-7b-v1.0/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 6e2eb49800031209a74d89ddc997066a95227a8267f65ce666bd6cc441d7075c
- Size of remote file:
- 5.5 kB
- SHA256:
- 87265727decc0a98a4f097e1876e05a86f58eeeec1be906a56c9562796bd8c68
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