Instructions to use imjeffhi/pokemon_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imjeffhi/pokemon_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="imjeffhi/pokemon_classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("imjeffhi/pokemon_classifier") model = AutoModelForImageClassification.from_pretrained("imjeffhi/pokemon_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,5 +1,3 @@
|
|
| 1 |
-
[](https://ainize.web.app/redirect?git_repo=https://github.com/imjeffhi4/pokemon-classifier)
|
| 2 |
-
|
| 3 |
# Pokémon Classifier
|
| 4 |
|
| 5 |
# Intro
|
|
|
|
|
|
|
|
|
|
| 1 |
# Pokémon Classifier
|
| 2 |
|
| 3 |
# Intro
|