add ultralytics model card

README.md

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+ 
+---
+tags:
+- ultralyticsplus
+- yolov8
+- ultralytics
+- yolo
+- vision
+- image-classification
+- pytorch
+- awesome-yolov8-models
+library_name: ultralytics
+library_version: 8.0.21
+inference: false
+
+datasets:
+- keremberke/pokemon-classification
+
+model-index:
+- name: keremberke/yolov8s-pokemon-classification
+  results:
+  - task:
+      type: image-classification
+
+    dataset:
+      type: keremberke/pokemon-classification
+      name: pokemon-classification
+      split: validation
+
+    metrics:
+      - type: accuracy
+        value: 0.02459  # min: 0.0 - max: 1.0
+        name: top1 accuracy
+      - type: accuracy
+        value: 0.0806  # min: 0.0 - max: 1.0
+        name: top5 accuracy
+---
+
+<div align="center">
+  <img width="640" alt="keremberke/yolov8s-pokemon-classification" src="https://huggingface.co/keremberke/yolov8s-pokemon-classification/resolve/main/thumbnail.jpg">
+</div>
+
+### Supported Labels
+
+```
+['Abra', 'Aerodactyl', 'Alakazam', 'Alolan Sandslash', 'Arbok', 'Arcanine', 'Articuno', 'Beedrill', 'Bellsprout', 'Blastoise', 'Bulbasaur', 'Butterfree', 'Caterpie', 'Chansey', 'Charizard', 'Charmander', 'Charmeleon', 'Clefable', 'Clefairy', 'Cloyster', 'Cubone', 'Dewgong', 'Diglett', 'Ditto', 'Dodrio', 'Doduo', 'Dragonair', 'Dragonite', 'Dratini', 'Drowzee', 'Dugtrio', 'Eevee', 'Ekans', 'Electabuzz', 'Electrode', 'Exeggcute', 'Exeggutor', 'Farfetchd', 'Fearow', 'Flareon', 'Gastly', 'Gengar', 'Geodude', 'Gloom', 'Golbat', 'Goldeen', 'Golduck', 'Golem', 'Graveler', 'Grimer', 'Growlithe', 'Gyarados', 'Haunter', 'Hitmonchan', 'Hitmonlee', 'Horsea', 'Hypno', 'Ivysaur', 'Jigglypuff', 'Jolteon', 'Jynx', 'Kabuto', 'Kabutops', 'Kadabra', 'Kakuna', 'Kangaskhan', 'Kingler', 'Koffing', 'Krabby', 'Lapras', 'Lickitung', 'Machamp', 'Machoke', 'Machop', 'Magikarp', 'Magmar', 'Magnemite', 'Magneton', 'Mankey', 'Marowak', 'Meowth', 'Metapod', 'Mew', 'Mewtwo', 'Moltres', 'MrMime', 'Muk', 'Nidoking', 'Nidoqueen', 'Nidorina', 'Nidorino', 'Ninetales', 'Oddish', 'Omanyte', 'Omastar', 'Onix', 'Paras', 'Parasect', 'Persian', 'Pidgeot', 'Pidgeotto', 'Pidgey', 'Pikachu', 'Pinsir', 'Poliwag', 'Poliwhirl', 'Poliwrath', 'Wigglytuff', 'Zapdos', 'Zubat']
+```
+
+### How to use
+
+- Install [ultralyticsplus](https://github.com/fcakyon/ultralyticsplus):
+
+```bash
+pip install ultralyticsplus==0.0.23 ultralytics==8.0.21
+```
+
+- Load model and perform prediction:
+
+```python
+from ultralyticsplus import YOLO, postprocess_classify_output
+
+# load model
+model = YOLO('keremberke/yolov8s-pokemon-classification')
+
+# set model parameters
+model.overrides['conf'] = 0.25  # model confidence threshold
+
+# set image
+image = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'
+
+# perform inference
+results = model.predict(image)
+
+# observe results
+print(results[0].probs) # [0.1, 0.2, 0.3, 0.4]
+processed_result = postprocess_classify_output(model, result=results[0])
+print(processed_result) # {"cat": 0.4, "dog": 0.6}
+```
+