Instructions to use anum231/class2_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anum231/class2_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="anum231/class2_v1") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("anum231/class2_v1") model = AutoModelForImageClassification.from_pretrained("anum231/class2_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 3
Browse files- README.md +5 -4
- checkpoint/extra_data.pickle +1 -1
- checkpoint/weights.h5 +1 -1
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [anum231/class2_v1](https://huggingface.co/anum231/class2_v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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| 0.9471 | 0.7465 | 0.4828 | 0 |
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| 0.7152 | 0.6636 | 0.5862 | 1 |
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| 0.6634 | 0.6322 | 0.6207 | 2 |
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### Framework versions
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This model is a fine-tuned version of [anum231/class2_v1](https://huggingface.co/anum231/class2_v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.6447
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- Validation Loss: 0.5829
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- Train Accuracy: 0.6897
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- Epoch: 3
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## Model description
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| 0.9471 | 0.7465 | 0.4828 | 0 |
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| 0.7152 | 0.6636 | 0.5862 | 1 |
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| 0.6634 | 0.6322 | 0.6207 | 2 |
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| 0.6447 | 0.5829 | 0.6897 | 3 |
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### Framework versions
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checkpoint/extra_data.pickle
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checkpoint/weights.h5
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tf_model.h5
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