Instructions to use swaroopajit/git-base-next-refined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use swaroopajit/git-base-next-refined 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="swaroopajit/git-base-next-refined")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("swaroopajit/git-base-next-refined") model = AutoModelForMultimodalLM.from_pretrained("swaroopajit/git-base-next-refined") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 3d0c0a6
End of training
Browse files- README.md +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 30
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### Training results
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pytorch_model.bin
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training_args.bin
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