Instructions to use fajarluhung/donut-ktp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fajarluhung/donut-ktp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="fajarluhung/donut-ktp")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("fajarluhung/donut-ktp") model = AutoModelForMultimodalLM.from_pretrained("fajarluhung/donut-ktp") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use fajarluhung/donut-ktp with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "fajarluhung/donut-ktp" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "fajarluhung/donut-ktp", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/fajarluhung/donut-ktp
- SGLang
How to use fajarluhung/donut-ktp 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 "fajarluhung/donut-ktp" \ --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": "fajarluhung/donut-ktp", "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 "fajarluhung/donut-ktp" \ --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": "fajarluhung/donut-ktp", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use fajarluhung/donut-ktp with Docker Model Runner:
docker model run hf.co/fajarluhung/donut-ktp
Commit ·
9e09adf
1
Parent(s): 3402c32
Training in progress, epoch 0
Browse files- config.json +3 -3
- pytorch_model.bin +2 -2
config.json
CHANGED
|
@@ -85,7 +85,7 @@
|
|
| 85 |
"typical_p": 1.0,
|
| 86 |
"use_bfloat16": false,
|
| 87 |
"use_cache": true,
|
| 88 |
-
"vocab_size":
|
| 89 |
},
|
| 90 |
"decoder_start_token_id": 57557,
|
| 91 |
"encoder": {
|
|
@@ -124,8 +124,8 @@
|
|
| 124 |
"1": "LABEL_1"
|
| 125 |
},
|
| 126 |
"image_size": [
|
| 127 |
-
|
| 128 |
-
|
| 129 |
],
|
| 130 |
"initializer_range": 0.02,
|
| 131 |
"is_decoder": false,
|
|
|
|
| 85 |
"typical_p": 1.0,
|
| 86 |
"use_bfloat16": false,
|
| 87 |
"use_cache": true,
|
| 88 |
+
"vocab_size": 57559
|
| 89 |
},
|
| 90 |
"decoder_start_token_id": 57557,
|
| 91 |
"encoder": {
|
|
|
|
| 124 |
"1": "LABEL_1"
|
| 125 |
},
|
| 126 |
"image_size": [
|
| 127 |
+
960,
|
| 128 |
+
1280
|
| 129 |
],
|
| 130 |
"initializer_range": 0.02,
|
| 131 |
"is_decoder": false,
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:204583250c471aa784c73f0f5571605fbd34756962907125181d5d44e9505f1f
|
| 3 |
+
size 809318169
|