Instructions to use faldeus0092/project_4_transfer_learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faldeus0092/project_4_transfer_learning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="faldeus0092/project_4_transfer_learning") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("faldeus0092/project_4_transfer_learning") model = AutoModelForImageClassification.from_pretrained("faldeus0092/project_4_transfer_learning") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Model save
Browse files- README.md +1 -1
- pytorch_model.bin +1 -1
README.md
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Framework versions
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 30
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### Framework versions
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pytorch_model.bin
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