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Legal-verse
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Model Details
Model Provider
Legal-verse
Model Tree
google/gemma-4-E2B-it
Input Modalities
Output Modalities
Supported Functionality
Use a recent version of Transformers with Gemma 4 support.
python
import torchfrom transformers import AutoModelForMultimodalLM, AutoProcessor model_id = "Legal-verse/InaVerdict-gemma-v2" processor = AutoProcessor.from_pretrained(model_id)model = AutoModelForMultimodalLM.from_pretrained( model_id, dtype=torch.bfloat16, device_map="auto",) messages = [ { "role": "user", "content": [ { "type": "text", "text": "Jelaskan perbedaan ratio decidendi dan obiter dictum.", } ], }] inputs = processor.apply_chat_template( messages, tokenize=True, return_dict=True, return_tensors="pt", add_generation_prompt=True,).to(model.device) input_length = inputs["input_ids"].shape[-1]with torch.inference_mode(): output_ids = model.generate(**inputs, max_new_tokens=256) print( processor.tokenizer.decode( output_ids[0, input_length:], skip_special_tokens=True, ))A ZeroGPU playground and Gradio API are available at Haeryz/inaverdict-gemma-v2-api.
This model is intended to assist with Indonesian legal research, document analysis, and drafting. Its output is not legal advice. Verify citations, quotations, and conclusions against primary legal sources.
import torchfrom transformers import AutoModelForMultimodalLM, AutoProcessor model_id = "Legal-verse/InaVerdict-gemma-v2" processor = AutoProcessor.from_pretrained(model_id)model = AutoModelForMultimodalLM.from_pretrained( model_id, dtype=torch.bfloat16, device_map="auto",) messages = [ { "role": "user", "content": [ { "type": "text", "text": "Jelaskan perbedaan ratio decidendi dan obiter dictum.", } ], }] inputs = processor.apply_chat_template( messages, tokenize=True, return_dict=True, return_tensors="pt", add_generation_prompt=True,).to(model.device) input_length = inputs["input_ids"].shape[-1]with torch.inference_mode(): output_ids = model.generate(**inputs, max_new_tokens=256) print( processor.tokenizer.decode( output_ids[0, input_length:], skip_special_tokens=True, ))