Image-Text-to-Text
Transformers
Safetensors
remote-sensing
earth-observation
geospatial
qwen2_5_vl
grpo
Instructions to use ibm-research/GeoVLM-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/GeoVLM-R1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="ibm-research/GeoVLM-R1")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ibm-research/GeoVLM-R1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ibm-research/GeoVLM-R1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ibm-research/GeoVLM-R1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ibm-research/GeoVLM-R1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ibm-research/GeoVLM-R1
- SGLang
How to use ibm-research/GeoVLM-R1 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "ibm-research/GeoVLM-R1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ibm-research/GeoVLM-R1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "ibm-research/GeoVLM-R1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ibm-research/GeoVLM-R1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ibm-research/GeoVLM-R1 with Docker Model Runner:
docker model run hf.co/ibm-research/GeoVLM-R1
Download GeoVLM_R1_Image_caption/config.json from ibm-research/GeoVLM-R1: direct link, hf CLI and curl.
- Browser
- Download file 1.22 kB
-
https://huggingface.co/ibm-research/GeoVLM-R1/resolve/main/GeoVLM_R1_Image_caption/config.json
- Command line
-
hf download hf://ibm-research/GeoVLM-R1/GeoVLM_R1_Image_caption/config.json
-
curl -L -o config.json https://huggingface.co/ibm-research/GeoVLM-R1/resolve/main/GeoVLM_R1_Image_caption/config.json
1.22 kB
| { | |
| "_name_or_path": "", | |
| "architectures": [ | |
| "Qwen2_5_VLForConditionalGeneration" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 151643, | |
| "eos_token_id": 151645, | |
| "hidden_act": "silu", | |
| "hidden_size": 2048, | |
| "image_token_id": 151655, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 11008, | |
| "max_position_embeddings": 128000, | |
| "max_window_layers": 70, | |
| "model_type": "qwen2_5_vl", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 36, | |
| "num_key_value_heads": 2, | |
| "rms_norm_eps": 1e-06, | |
| "rope_scaling": { | |
| "mrope_section": [ | |
| 16, | |
| 24, | |
| 24 | |
| ], | |
| "rope_type": "default", | |
| "type": "default" | |
| }, | |
| "rope_theta": 1000000.0, | |
| "sliding_window": 32768, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.49.0", | |
| "use_cache": false, | |
| "use_sliding_window": false, | |
| "video_token_id": 151656, | |
| "vision_config": { | |
| "hidden_size": 1280, | |
| "in_chans": 3, | |
| "model_type": "qwen2_5_vl", | |
| "out_hidden_size": 2048, | |
| "spatial_patch_size": 14, | |
| "tokens_per_second": 2, | |
| "torch_dtype": "bfloat16" | |
| }, | |
| "vision_end_token_id": 151653, | |
| "vision_start_token_id": 151652, | |
| "vision_token_id": 151654, | |
| "vocab_size": 151936 | |
| } | |