Instructions to use TomasFAV/Pix2StructCzechInvoiceV0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TomasFAV/Pix2StructCzechInvoiceV0 with Transformers:

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

pipe = pipeline("image-text-to-text", model="TomasFAV/Pix2StructCzechInvoiceV0")

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("TomasFAV/Pix2StructCzechInvoiceV0")
model = AutoModelForImageTextToText.from_pretrained("TomasFAV/Pix2StructCzechInvoiceV0")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TomasFAV/Pix2StructCzechInvoiceV0 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TomasFAV/Pix2StructCzechInvoiceV0"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TomasFAV/Pix2StructCzechInvoiceV0",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TomasFAV/Pix2StructCzechInvoiceV0

SGLang

How to use TomasFAV/Pix2StructCzechInvoiceV0 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 "TomasFAV/Pix2StructCzechInvoiceV0" \
    --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": "TomasFAV/Pix2StructCzechInvoiceV0",
		"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 "TomasFAV/Pix2StructCzechInvoiceV0" \
        --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": "TomasFAV/Pix2StructCzechInvoiceV0",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TomasFAV/Pix2StructCzechInvoiceV0 with Docker Model Runner:
```
docker model run hf.co/TomasFAV/Pix2StructCzechInvoiceV0
```

TomasFAV commited on Jan 19

Commit

e51aead

verified ·

1 Parent(s): 457a95b

Upload Pix2StructForConditionalGeneration

Browse files

Files changed (2) hide show

config.json +5 -6
model.safetensors +2 -2

config.json CHANGED Viewed

@@ -8,14 +8,14 @@
   "initializer_factor": 1.0,
   "initializer_range": 0.02,
   "is_encoder_decoder": true,
-  "is_vqa": false,
   "model_type": "pix2struct",
   "pad_token_id": 0,
   "text_config": {
     "d_ff": 2048,
     "d_kv": 64,
     "dense_act_fn": "gelu_new",
-    "dropout_rate": 0.2,
     "dtype": "float32",
     "encoder_hidden_size": 768,
     "hidden_size": 768,
@@ -29,18 +29,17 @@
     "relative_attention_max_distance": 128,
     "relative_attention_num_buckets": 32,
     "use_cache": false,
-    "vocab_size": 50368
   },
   "tie_word_embeddings": false,
   "transformers_version": "4.57.3",
   "vision_config": {
-    "attention_dropout": 0.2,
     "d_ff": 2048,
     "d_kv": 64,
     "dense_act_fn": "gelu_new",
-    "dropout_rate": 0.2,
     "dtype": "float32",
-    "hidden_dropout_prob": 0.2,
     "hidden_size": 768,
     "initializer_factor": 1.0,
     "initializer_range": 0.02,

   "initializer_factor": 1.0,
   "initializer_range": 0.02,
   "is_encoder_decoder": true,
+  "is_vqa": true,
   "model_type": "pix2struct",
   "pad_token_id": 0,
   "text_config": {
     "d_ff": 2048,
     "d_kv": 64,
     "dense_act_fn": "gelu_new",
+    "dropout_rate": 0.1,
     "dtype": "float32",
     "encoder_hidden_size": 768,
     "hidden_size": 768,
     "relative_attention_max_distance": 128,
     "relative_attention_num_buckets": 32,
     "use_cache": false,
+    "vocab_size": 50432
   },
   "tie_word_embeddings": false,
   "transformers_version": "4.57.3",
   "vision_config": {
+    "attention_dropout": 0.0,
     "d_ff": 2048,
     "d_kv": 64,
     "dense_act_fn": "gelu_new",
+    "dropout_rate": 0.0,
     "dtype": "float32",
     "hidden_size": 768,
     "initializer_factor": 1.0,
     "initializer_range": 0.02,

model.safetensors CHANGED Viewed

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