How to use KETI-NLP/veld-base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="KETI-NLP/veld-base", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KETI-NLP/veld-base", trust_remote_code=True, device_map="auto")
https://huggingface.co/KETI-NLP/veld-base/resolve/main/tokenizer.json
hf download hf://KETI-NLP/veld-base/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/KETI-NLP/veld-base/resolve/main/tokenizer.json
