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veld-base
KETI-NLP/veld-base
veld-base is a image-to-text model from KETI-NLP. Use it when you need a caption or text from an image. It is set up for transformers. The card lists the license as apache-2.0.
Pretrained Vision Encoder Text Decoder Model in Korean and English. See Github for more details.
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At a glance
- Task
- Image-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- veld
- Access
- Public
- Created
- Nov 2, 2022
- Updated
- Jan 30, 2023
- SHA
- eb963206
Model card
From the Hugging Face model README
veld base
Pretrained Vision Encoder Text Decoder Model in Korean and English. See Github for more details.
How to use
from transformers import AutoProcessor, AutoModel
processor = AutoProcessor.from_pretrained("KETI-AIR/veld-base", trust_remote_code=True)
model = AutoModel.from_pretrained("KETI-AIR/veld-base", trust_remote_code=True)
You can use AutoTokenizer and AutoFeatureExtractor instead AutoProcessor.
You don't need to pass trust_remote_code=True for AutoTokenizer and AutoFeatureExtractor
from transformers import AutoFeatureExtractor, AutoTokenizer, AutoModel
feature_extractor = AutoFeatureExtractor.from_pretrained("KETI-AIR/veld-base")
tokenizer = AutoTokenizer.from_pretrained("KETI-AIR/veld-base")
model = AutoModel.from_pretrained("KETI-AIR/veld-base", trust_remote_code=True)
- Task
- Image-to-Text
- Library
- transformers
- Type
- veld
- License
- apache-2.0
- Languages
- en, ko, multilingual
- Created
- Nov 2, 2022
- Updated
- Jan 30, 2023