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:
- d239e26cfcd1f947bc21ad1ca0df7d8c89c9a4b904f081267ffa6571c64852bb
- Size of remote file:
- 3.44 kB
- SHA256:
- 7e02603e3ce26cdff8524e3fd2a3e7cd994d6c04c5c0fe273997d2c8f03ddb1e
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