Instructions to use TheMrguiller/Flamingo-tiny_ScienceQA_COT-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheMrguiller/Flamingo-tiny_ScienceQA_COT-QA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheMrguiller/Flamingo-tiny_ScienceQA_COT-QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from TheMrguiller/Flamingo-tiny_ScienceQA_COT-QA: direct link, hf CLI and curl.
- Browser
- Download file 2.28 GB
-
https://huggingface.co/TheMrguiller/Flamingo-tiny_ScienceQA_COT-QA/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://TheMrguiller/Flamingo-tiny_ScienceQA_COT-QA/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TheMrguiller/Flamingo-tiny_ScienceQA_COT-QA/resolve/main/pytorch_model.bin
2.28 GB
- Xet hash:
- 31e229482fd064cea2afba9176b2973bd8d3b1640ebc9384ca8709636221b255
- Size of remote file:
- 2.28 GB
- SHA256:
- ab4353dfbf89cf94d83239a92a68f38c11cbbcefa6d0730d87b85e71326ebf1d
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