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

Libraries

How to use bdanko/blip-flickr30k-probe with Transformers:

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

pipe = pipeline("image-text-to-text", model="bdanko/blip-flickr30k-probe")

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("bdanko/blip-flickr30k-probe")
model = AutoModelForImageTextToText.from_pretrained("bdanko/blip-flickr30k-probe")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use bdanko/blip-flickr30k-probe with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/bdanko/blip-flickr30k-probe

SGLang

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

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

blip-flickr30k-probe / config.json

bdanko

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	{
	"architectures": [
	"BlipForConditionalGeneration"
	],
	"dtype": "bfloat16",
	"image_text_hidden_size": 256,
	"initializer_factor": 1.0,
	"initializer_range": 0.02,
	"label_smoothing": 0.0,
	"logit_scale_init_value": 2.6592,
	"model_type": "blip",
	"projection_dim": 512,
	"text_config": {
	"add_cross_attention": false,
	"attention_probs_dropout_prob": 0.0,
	"bos_token_id": 30522,
	"cross_attention_hidden_size": null,
	"decoder_start_token_id": null,
	"dtype": "bfloat16",
	"encoder_hidden_size": 768,
	"eos_token_id": 2,
	"finetuning_task": null,
	"hidden_act": "gelu",
	"hidden_dropout_prob": 0.0,
	"hidden_size": 768,
	"initializer_factor": 1.0,
	"initializer_range": 0.02,
	"intermediate_size": 3072,
	"is_decoder": true,
	"label_smoothing": 0.0,
	"layer_norm_eps": 1e-12,
	"max_position_embeddings": 512,
	"model_type": "blip_text_model",
	"num_attention_heads": 12,
	"num_hidden_layers": 12,
	"pad_token_id": 0,
	"prefix": null,
	"projection_dim": 768,
	"pruned_heads": {},
	"sep_token_id": 102,
	"task_specific_params": null,
	"tf_legacy_loss": false,
	"tie_encoder_decoder": false,
	"tie_word_embeddings": true,
	"tokenizer_class": null,
	"torchscript": false,
	"use_bfloat16": false,
	"use_cache": true,
	"vocab_size": 30524
	},
	"tie_word_embeddings": true,
	"transformers_version": "5.0.0",
	"vision_config": {
	"add_cross_attention": false,
	"attention_dropout": 0.0,
	"bos_token_id": null,
	"cross_attention_hidden_size": null,
	"decoder_start_token_id": null,
	"dropout": 0.0,
	"dtype": "bfloat16",
	"eos_token_id": null,
	"finetuning_task": null,
	"hidden_act": "gelu",
	"hidden_size": 768,
	"image_size": 384,
	"initializer_factor": 1.0,
	"initializer_range": 0.02,
	"intermediate_size": 3072,
	"is_decoder": false,
	"layer_norm_eps": 1e-05,
	"model_type": "blip_vision_model",
	"num_attention_heads": 12,
	"num_channels": 3,
	"num_hidden_layers": 12,
	"pad_token_id": null,
	"patch_size": 16,
	"prefix": null,
	"projection_dim": 512,
	"pruned_heads": {},
	"sep_token_id": null,
	"task_specific_params": null,
	"tf_legacy_loss": false,
	"tie_encoder_decoder": false,
	"tie_word_embeddings": true,
	"tokenizer_class": null,
	"torchscript": false,
	"use_bfloat16": false
	}
	}