Instructions to use amaye15/aimv2-large-patch14-native-image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amaye15/aimv2-large-patch14-native-image-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amaye15/aimv2-large-patch14-native-image-classification", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("amaye15/aimv2-large-patch14-native-image-classification", trust_remote_code=True) model = AutoModelForImageClassification.from_pretrained("amaye15/aimv2-large-patch14-native-image-classification", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,6 +15,8 @@ tags:
|
|
| 15 |
|
| 16 |
This repository contains an adapted version of the original AIMv2 model, modified to be compatible with the `AutoModelForImageClassification` class from Hugging Face Transformers. This adaptation enables seamless use of the model for image classification tasks.
|
| 17 |
|
|
|
|
|
|
|
| 18 |
## Introduction
|
| 19 |
|
| 20 |
We have adapted the original `apple/aimv2-large-patch14-native` model to work with `AutoModelForImageClassification`. The AIMv2 family consists of vision models pre-trained with a multimodal autoregressive objective, offering robust performance across various benchmarks.
|
|
|
|
| 15 |
|
| 16 |
This repository contains an adapted version of the original AIMv2 model, modified to be compatible with the `AutoModelForImageClassification` class from Hugging Face Transformers. This adaptation enables seamless use of the model for image classification tasks.
|
| 17 |
|
| 18 |
+
**This model has not been trained/fine-tuned**
|
| 19 |
+
|
| 20 |
## Introduction
|
| 21 |
|
| 22 |
We have adapted the original `apple/aimv2-large-patch14-native` model to work with `AutoModelForImageClassification`. The AIMv2 family consists of vision models pre-trained with a multimodal autoregressive objective, offering robust performance across various benchmarks.
|