Instructions to use Space-Cracker/qwen2-VL-2b-instruct-science with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Space-Cracker/qwen2-VL-2b-instruct-science with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Space-Cracker/qwen2-VL-2b-instruct-science", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Space-Cracker/qwen2-VL-2b-instruct-science: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/Space-Cracker/qwen2-VL-2b-instruct-science/resolve/main/training_args.bin
- Command line
-
hf download hf://Space-Cracker/qwen2-VL-2b-instruct-science/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Space-Cracker/qwen2-VL-2b-instruct-science/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- d486ba8f235db586452c090a432dc3af59f068332e9d76e3f58d96f3fbef17b1
- Size of remote file:
- 5.62 kB
- SHA256:
- dcde3f702ac3fd4c2604195f6b434b0dcae8c6521c548400a6e3a0d0d6246617
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