Instructions to use cppppp123/qwen2.5-7b-instruct-trl-sft-ChartQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cppppp123/qwen2.5-7b-instruct-trl-sft-ChartQA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cppppp123/qwen2.5-7b-instruct-trl-sft-ChartQA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62dda58f8266051ae48b531a6cf6bdd4ffe3e19d1c0c2a2496b02003250af7ff
- Size of remote file:
- 5.82 kB
- SHA256:
- dbba4c086055740e5f50e88f8fdcc2ff52ac57eeea6d40a89ac39d49d2ad949a
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