Instructions to use FreddeFrallan/custom-resnet50d2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FreddeFrallan/custom-resnet50d2 with Transformers:
# Load model directly from transformers import sitionalInvariantTransformation model = sitionalInvariantTransformation.from_pretrained("FreddeFrallan/custom-resnet50d2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
custom-resnet50d2
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: None
- training_precision: float32
Training results
Framework versions
- Transformers 4.19.2
- TensorFlow 2.4.1
- Datasets 1.16.1
- Tokenizers 0.12.1
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