Instructions to use microsoft/kosmos-2-patch14-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/kosmos-2-patch14-224 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="microsoft/kosmos-2-patch14-224")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/kosmos-2-patch14-224") model = AutoModelForMultimodalLM.from_pretrained("microsoft/kosmos-2-patch14-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from microsoft/kosmos-2-patch14-224: direct link, hf CLI and curl.
- Browser
- Download file 6.66 GB
-
https://huggingface.co/microsoft/kosmos-2-patch14-224/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://microsoft/kosmos-2-patch14-224/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/microsoft/kosmos-2-patch14-224/resolve/main/pytorch_model.bin
6.66 GB
- Xet hash:
- f9286718ec8a9b22d02f81b2a6333ad6ff6b5b15eb1d6bcbbc95cff0ecd6cc4a
- Size of remote file:
- 6.66 GB
- SHA256:
- 47e771fe58dd4de2d814655e67ec034b3637b09114869415f071486c4a1c2ec0
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