Instructions to use Huiaaa/flickr30k-blip-caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Huiaaa/flickr30k-blip-caption with Transformers:

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

pipe = pipeline("image-text-to-text", model="Huiaaa/flickr30k-blip-caption")

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("Huiaaa/flickr30k-blip-caption")
model = AutoModelForMultimodalLM.from_pretrained("Huiaaa/flickr30k-blip-caption", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Huiaaa/flickr30k-blip-caption with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Huiaaa/flickr30k-blip-caption"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Huiaaa/flickr30k-blip-caption",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Huiaaa/flickr30k-blip-caption

SGLang

How to use Huiaaa/flickr30k-blip-caption 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 "Huiaaa/flickr30k-blip-caption" \
    --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": "Huiaaa/flickr30k-blip-caption",
		"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 "Huiaaa/flickr30k-blip-caption" \
        --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": "Huiaaa/flickr30k-blip-caption",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Huiaaa/flickr30k-blip-caption with Docker Model Runner:
```
docker model run hf.co/Huiaaa/flickr30k-blip-caption
```

flickr30k-blip-caption

File size: 696 Bytes

bac233a

{
  "_from_model_config": true,
  "bos_token_id": 30522,
  "diversity_penalty": 0.0,
  "do_sample": false,
  "early_stopping": false,
  "encoder_no_repeat_ngram_size": 0,
  "eos_token_id": 2,
  "length_penalty": 1.0,
  "max_length": 20,
  "min_length": 0,
  "no_repeat_ngram_size": 0,
  "num_beam_groups": 1,
  "num_beams": 1,
  "num_return_sequences": 1,
  "output_attentions": false,
  "output_hidden_states": false,
  "output_scores": false,
  "pad_token_id": 0,
  "remove_invalid_values": false,
  "repetition_penalty": 1.0,
  "return_dict_in_generate": false,
  "temperature": 1.0,
  "top_k": 50,
  "top_p": 1.0,
  "transformers_version": "5.13.1",
  "typical_p": 1.0,
  "use_cache": true
}