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TerraSense-CASM
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Model Details
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TerraSense-CASM
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Input Modalities
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python
from transformers import AutoModelForVision2Seq, AutoProcessorfrom qwen_vl_utils import process_vision_infoimport torch model = AutoModelForVision2Seq.from_pretrained( "TerraSense-CASM/TerraSense-Base", torch_dtype=torch.bfloat16, device_map="auto", trust_remote_code=True)processor = AutoProcessor.from_pretrained("TerraSense-CASM/TerraSense-Base", trust_remote_code=True) messages = [{"role": "user", "content": [ {"type": "image", "image": "path/to/image.jpg"}, {"type": "text", "text": "Describe this remote sensing image."},]}] text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)image_inputs, _ = process_vision_info(messages)inputs = processor(text=[text], images=image_inputs, padding=True, return_tensors="pt").to("cuda")output = model.generate(**inputs, max_new_tokens=512)print(processor.batch_decode(output, skip_special_tokens=True)[0])