Image Classification
Transformers
PyTorch
TensorBoard
van
Generated from Trainer
Eval Results (legacy)
Instructions to use sergiocannata/VANBase-finetuned-brs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sergiocannata/VANBase-finetuned-brs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sergiocannata/VANBase-finetuned-brs") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("sergiocannata/VANBase-finetuned-brs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3e6e1d673df5b8d566e13cda326418234b3721a5d8a8b216f083f58c57c7a81
- Size of remote file:
- 105 MB
- SHA256:
- d2f625c12d457bc9314bbfc5d455bb2accc87885989fa239a134b2a22abd16ce
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