Instructions to use aimagelab/CounterVid-InternVL3-9B-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aimagelab/CounterVid-InternVL3-9B-LoRA with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="aimagelab/CounterVid-InternVL3-9B-LoRA", trust_remote_code=True)
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("aimagelab/CounterVid-InternVL3-9B-LoRA", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use aimagelab/CounterVid-InternVL3-9B-LoRA with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aimagelab/CounterVid-InternVL3-9B-LoRA"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aimagelab/CounterVid-InternVL3-9B-LoRA",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/aimagelab/CounterVid-InternVL3-9B-LoRA

SGLang

How to use aimagelab/CounterVid-InternVL3-9B-LoRA 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 "aimagelab/CounterVid-InternVL3-9B-LoRA" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aimagelab/CounterVid-InternVL3-9B-LoRA",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "aimagelab/CounterVid-InternVL3-9B-LoRA" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aimagelab/CounterVid-InternVL3-9B-LoRA",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use aimagelab/CounterVid-InternVL3-9B-LoRA with Docker Model Runner:
```
docker model run hf.co/aimagelab/CounterVid-InternVL3-9B-LoRA
```

Fix repository references and link training dataset

by tobi1modna - opened 7 days ago

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

-3

Files changed (2) hide show

README.md +3 -1
release_manifest.json +2 -2

README.md CHANGED Viewed

@@ -7,6 +7,8 @@ library_name: transformers
 base_model:
   - OpenGVLab/InternVL3-9B-Instruct
 base_model_relation: finetune
 tags:
   - video
   - multimodal
@@ -44,7 +46,7 @@ For complete video inference and evaluation examples, see the [CounterVid reposi
 ## Training summary
 - Base model: [`OpenGVLab/InternVL3-9B-Instruct`](https://huggingface.co/OpenGVLab/InternVL3-9B-Instruct)
-- Training data: approximately 26K synthetic visual and textual preference pairs
 - Objective: MixDPO / PaMi-VDPO with CounterVid anchors
 - LoRA was merged before release; PEFT is not required at inference time
 - Vision encoder frozen during preference optimization

 base_model:
   - OpenGVLab/InternVL3-9B-Instruct
 base_model_relation: finetune
+datasets:
+  - aimagelab/CounterVid
 tags:
   - video
   - multimodal
 ## Training summary
 - Base model: [`OpenGVLab/InternVL3-9B-Instruct`](https://huggingface.co/OpenGVLab/InternVL3-9B-Instruct)
+- Training data: [CounterVid](https://huggingface.co/datasets/aimagelab/CounterVid) (26,167 synthetic visual and textual preference pairs)
 - Objective: MixDPO / PaMi-VDPO with CounterVid anchors
 - LoRA was merged before release; PEFT is not required at inference time
 - Vision encoder frozen during preference optimization

release_manifest.json CHANGED Viewed

@@ -114,8 +114,8 @@
   "files": [
     {
       "name": "README.md",
-      "size_bytes": 2831,
-      "sha256": "cf6ef26002fdcd17d694a5d2c375e97747411801d1cdc2bf6a875f50fd798cd6"
     },
     {
       "name": "added_tokens.json",

   "files": [
     {
       "name": "README.md",
+      "size_bytes": 2924,
+      "sha256": "3c660164f112be0759301c2018ceaf919c0e374cbffcfb947b0eeb1faaba2f53"
     },
     {
       "name": "added_tokens.json",