Zero-Shot Image Classification
Transformers
PyTorch
Chinese
altclip
Zero-Shot Image Classification
bilingual
en
English
Chinese
Instructions to use BAAI/AltCLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/AltCLIP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="BAAI/AltCLIP") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("BAAI/AltCLIP") model = AutoModelForZeroShotImageClassification.from_pretrained("BAAI/AltCLIP") - Notebooks
- Google Colab
- Kaggle
What is altCLIP model text encoder identifier
#6
by Nyxi - opened
altCLIP model text encoder identifier
The text encoder of altCLIP is roberta. You can refer to this code:
https://github.com/huggingface/transformers/blob/main/src/transformers/models/altclip/modeling_altclip.py#L1369