Image-Text-to-Text
Transformers
Safetensors
English
openvla
UAV
Navigation
VLN
visual-language-navigation
Instructions to use IPEC-COMMUNITY/openfly-agent-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IPEC-COMMUNITY/openfly-agent-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="IPEC-COMMUNITY/openfly-agent-7b")# Load model directly from transformers import OpenVLAForActionPrediction model = OpenVLAForActionPrediction.from_pretrained("IPEC-COMMUNITY/openfly-agent-7b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use IPEC-COMMUNITY/openfly-agent-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "IPEC-COMMUNITY/openfly-agent-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "IPEC-COMMUNITY/openfly-agent-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/IPEC-COMMUNITY/openfly-agent-7b
- SGLang
How to use IPEC-COMMUNITY/openfly-agent-7b 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 "IPEC-COMMUNITY/openfly-agent-7b" \ --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": "IPEC-COMMUNITY/openfly-agent-7b", "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 "IPEC-COMMUNITY/openfly-agent-7b" \ --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": "IPEC-COMMUNITY/openfly-agent-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use IPEC-COMMUNITY/openfly-agent-7b with Docker Model Runner:
docker model run hf.co/IPEC-COMMUNITY/openfly-agent-7b
File size: 1,492 Bytes
cbf5e79 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 | {
"image_processor_type": "PrismaticImageProcessor",
"image_resize_strategy": "resize-naive",
"input_sizes": [
[
3,
224,
224
],
[
3,
224,
224
]
],
"interpolations": [
"bicubic",
"bicubic"
],
"means": [
[
0.485,
0.456,
0.406
],
[
0.5,
0.5,
0.5
]
],
"processor_class": "PrismaticProcessor",
"stds": [
[
0.229,
0.224,
0.225
],
[
0.5,
0.5,
0.5
]
],
"tvf_crop_params": [
{
"output_size": [
224,
224
]
},
{
"output_size": [
224,
224
]
}
],
"tvf_do_letterbox": false,
"tvf_letterbox_fill": null,
"tvf_normalize_params": [
{
"inplace": false,
"mean": [
0.484375,
0.455078125,
0.40625
],
"std": [
0.228515625,
0.2236328125,
0.224609375
]
},
{
"inplace": false,
"mean": [
0.5,
0.5,
0.5
],
"std": [
0.5,
0.5,
0.5
]
}
],
"tvf_resize_params": [
{
"antialias": true,
"interpolation": 3,
"max_size": null,
"size": [
224,
224
]
},
{
"antialias": true,
"interpolation": 3,
"max_size": null,
"size": [
224,
224
]
}
],
"use_fused_vision_backbone": true
}
|