Any-to-Any
Transformers
English
Chinese
qwen2
text-generation
medical
vision-language
multimodal
unified-model
medical-vqa
text-to-image
image-to-text
medical-understanding
report-generation
interleaved-multimodal
modality-transfer
custom_code
Instructions to use General-Medical-AI/UniMedVL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use General-Medical-AI/UniMedVL with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("General-Medical-AI/UniMedVL", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("General-Medical-AI/UniMedVL", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "General-Medical-AI/UniMedVL", | |
| "architectures": [ | |
| "Qwen2ForCausalLM" | |
| ], | |
| "model_type": "qwen2", | |
| "transformers_version": "4.49.0", | |
| "torch_dtype": "bfloat16", | |
| "vocab_size": 152064, | |
| "max_position_embeddings": 32768, | |
| "hidden_size": 3584, | |
| "intermediate_size": 18944, | |
| "num_hidden_layers": 28, | |
| "num_attention_heads": 28, | |
| "num_key_value_heads": 4, | |
| "hidden_act": "silu", | |
| "initializer_range": 0.02, | |
| "rms_norm_eps": 1e-06, | |
| "use_cache": true, | |
| "rope_theta": 1000000.0, | |
| "rope_scaling": null, | |
| "attention_dropout": 0.0, | |
| "use_sliding_window": false, | |
| "sliding_window": null, | |
| "max_window_layers": 28, | |
| "tie_word_embeddings": false, | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151645, | |
| "pad_token_id": null, | |
| "qk_norm": true, | |
| "auto_map": { | |
| "AutoConfig": "llm_config.Qwen2Config", | |
| "AutoModel": "modeling_unimedvl.UniMedVL", | |
| "AutoModelForCausalLM": "modeling_unimedvl.UniMedVL" | |
| } | |
| } | |