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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b77b5f42c1e91cb4957af805ea78043ba9909e5c7d1ce5815b24bd6b2e73bf2
- Size of remote file:
- 6.66 GB
- SHA256:
- 051bf4b62a25429f4d542d11ec0c07a4ac1aac91003d3bf301133c6913008cbf
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