Instructions to use matbee/idefics2-weblinx-20500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use matbee/idefics2-weblinx-20500 with Transformers:

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

pipe = pipeline("image-text-to-text", model="matbee/idefics2-weblinx-20500")

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("matbee/idefics2-weblinx-20500")
model = AutoModelForMultimodalLM.from_pretrained("matbee/idefics2-weblinx-20500", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use matbee/idefics2-weblinx-20500 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "matbee/idefics2-weblinx-20500"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "matbee/idefics2-weblinx-20500",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/matbee/idefics2-weblinx-20500

SGLang

How to use matbee/idefics2-weblinx-20500 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 "matbee/idefics2-weblinx-20500" \
    --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": "matbee/idefics2-weblinx-20500",
		"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 "matbee/idefics2-weblinx-20500" \
        --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": "matbee/idefics2-weblinx-20500",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use matbee/idefics2-weblinx-20500 with Docker Model Runner:
```
docker model run hf.co/matbee/idefics2-weblinx-20500
```

matbee commited on May 8, 2024

Commit

2a3a845

verified ·

1 Parent(s): 88b391d

Upload Idefics2ForConditionalGeneration

Browse files

Files changed (2) hide show

config.json +1 -1
generation_config.json +1 -1

config.json CHANGED Viewed

@@ -154,7 +154,7 @@
   },
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.41.0.dev0",
   "use_cache": true,
   "vision_config": {
     "_name_or_path": "",

   },
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.1",
   "use_cache": true,
   "vision_config": {
     "_name_or_path": "",

generation_config.json CHANGED Viewed

@@ -14,5 +14,5 @@
     32002
   ],
   "pad_token_id": 0,
-  "transformers_version": "4.41.0.dev0"
 }

     32002
   ],
   "pad_token_id": 0,
+  "transformers_version": "4.40.1"
 }