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PatSnap
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Model Details
Model Provider
PatSnap
Model Tree
Qwen/Qwen3-VL-8B-Instruct
Input Modalities
Output Modalities
Supported Functionality
Install the inference dependencies:
bash
pip install "transformers>=4.57.1" accelerate torch torchvision pillow
The inference interface follows Qwen3-VL. Use the OCSR prompt exactly as shown below:
python
from transformers import AutoProcessor, Qwen3VLForConditionalGenerationmodel_id = "PatSnap/Hiro-OCSR"model = Qwen3VLForConditionalGeneration.from_pretrained(model_id,dtype="auto",device_map="auto",)processor = AutoProcessor.from_pretrained(model_id)messages = [{"role": "user","content": [{"type": "image","image": "path/to/chemical-structure.png",},{"type": "text","text": "Convert chemical structure in this image to SMILES.",},],}]inputs = processor.apply_chat_template(messages,tokenize=True,add_generation_prompt=True,return_dict=True,return_tensors="pt",)inputs = inputs.to(model.device)generated_ids = model.generate(**inputs,max_new_tokens=1024,do_sample=False,)generated_ids_trimmed = [output_ids[len(input_ids) :]for input_ids, output_ids in zip(inputs.input_ids, generated_ids)]output_text = processor.batch_decode(generated_ids_trimmed,skip_special_tokens=True,clean_up_tokenization_spaces=False,)print(output_text)
For the local SDK, chemical post-processing, structure validation, depiction, and batch inference utilities, see the Hiro-OCSR source repository.
Convert chemical structure in this image to SMILES.This model may produce inaccurate, incomplete, misrecognized, improperly canonicalized, or chemically invalid SMILES. Errors may include missing atoms or bonds, incorrect stereochemistry, charges, isotopes, salts, abbreviations, R-groups, variable attachments, repeat units, or reaction components.
Model outputs must be reviewed and validated before use in chemical analysis, patent work, regulatory submissions, laboratory workflows, safety-critical applications, database curation, or other professional contexts. Users are responsible for ensuring they have the necessary rights to process input images and documents.
See the full Disclaimer before using the model.
This model repository is made available under the Apache License 2.0. The model is based on Qwen3-VL-8B-Instruct; review the base model card and its applicable terms as well.
See NOTICE for copyright, trademark, and attribution information.