Instructions to use arvisioncode/qwen2-7b-instruct-trl-sft-Signature with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arvisioncode/qwen2-7b-instruct-trl-sft-Signature with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arvisioncode/qwen2-7b-instruct-trl-sft-Signature", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
f2a440f | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:88a3a6fcb80132f76da8aa40cdc3fccd7e5d8468ef15421f5b0c2715e85217d2
size 11420538
|