readme: ---
  language:
  - en
  - ko
  - multilingual
  license: apache-2.0
  tags:
  - vision, language
  - pretrained model
  - image-to-text
  eos_token: </s>
  ---
  
  # veld base
  
  Pretrained Vision Encoder Text Decoder Model in Korean and English. See [Github](https://github.com/AIRC-KETI/veld) for more details.
  
  ## How to use
  
  ```python
  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
  
  ```python
  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)
  ```
  