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
Commit History
-
Training in progress epoch 9
d9f7d55 -
Training in progress epoch 8
87b6e54 -
Training in progress epoch 7
6bb9dc3 -
Training in progress epoch 6
0cbc552 -
Training in progress epoch 5
88570de -
Training in progress epoch 4
63a0cfc -
Training in progress epoch 3
59e239c -
Training in progress epoch 2
146aaa5 -
Training in progress epoch 1
909959e -
Training in progress epoch 0
5412ea0 -
Training in progress epoch 9
ea5025a -
Training in progress epoch 8
54b3015 -
Training in progress epoch 7
6b64277 -
Training in progress epoch 6
9316c00 -
Training in progress epoch 5
c300d7d -
Training in progress epoch 4
8cca498 -
Training in progress epoch 3
14bf5c7 -
Training in progress epoch 2
1c30952 -
Training in progress epoch 1
2c66ad3 -
Training in progress epoch 0
06412c7