Instructions to use hemlatachanne/cvt-13-finetuned-ibird with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hemlatachanne/cvt-13-finetuned-ibird with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hemlatachanne/cvt-13-finetuned-ibird") 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("hemlatachanne/cvt-13-finetuned-ibird") model = AutoModelForImageClassification.from_pretrained("hemlatachanne/cvt-13-finetuned-ibird", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
fb65410 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:af072b100b517ddaf3ad9347423e5929f13c24af7f92dc4695016973ccbd418c
size 4920
|