Instructions to use anthrapper/tcrocr-captcha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use anthrapper/tcrocr-captcha with Transformers:

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

pipe = pipeline("image-text-to-text", model="anthrapper/tcrocr-captcha")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("anthrapper/tcrocr-captcha")
model = AutoModelForMultimodalLM.from_pretrained("anthrapper/tcrocr-captcha", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use anthrapper/tcrocr-captcha with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/anthrapper/tcrocr-captcha

SGLang

How to use anthrapper/tcrocr-captcha 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 "anthrapper/tcrocr-captcha" \
    --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": "anthrapper/tcrocr-captcha",
		"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 "anthrapper/tcrocr-captcha" \
        --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": "anthrapper/tcrocr-captcha",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use anthrapper/tcrocr-captcha with Docker Model Runner:
```
docker model run hf.co/anthrapper/tcrocr-captcha
```

tcrocr-captcha / captcha_model /preprocessor_config.json

anthrapper

Upload folder using huggingface_hub

decde3c about 3 years ago

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325 Bytes

{
  "do_normalize": true,
  "do_rescale": true,
  "do_resize": true,
  "image_mean": [
    0.5,
    0.5,
    0.5
  ],
  "image_processor_type": "ViTImageProcessor",
  "image_std": [
    0.5,
    0.5,
    0.5
  ],
  "resample": 2,
  "rescale_factor": 0.00392156862745098,
  "size": {
    "height": 384,
    "width": 384
  }
}

	{
	"do_normalize": true,
	"do_rescale": true,
	"do_resize": true,
	"image_mean": [
	0.5,
	0.5,
	0.5
	],
	"image_processor_type": "ViTImageProcessor",
	"image_std": [
	0.5,
	0.5,
	0.5
	],
	"resample": 2,
	"rescale_factor": 0.00392156862745098,
	"size": {
	"height": 384,
	"width": 384
	}
	}