Instructions to use AskUI/PTA-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AskUI/PTA-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="AskUI/PTA-1", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("AskUI/PTA-1", trust_remote_code=True) model = AutoModelForImageTextToText.from_pretrained("AskUI/PTA-1", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use AskUI/PTA-1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AskUI/PTA-1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AskUI/PTA-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/AskUI/PTA-1
- SGLang
How to use AskUI/PTA-1 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 "AskUI/PTA-1" \ --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": "AskUI/PTA-1", "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 "AskUI/PTA-1" \ --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": "AskUI/PTA-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use AskUI/PTA-1 with Docker Model Runner:
docker model run hf.co/AskUI/PTA-1
Upload Florence2ForConditionalGeneration
Browse files- config.json +2 -2
- model.safetensors +1 -1
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "output/
|
| 3 |
"architectures": [
|
| 4 |
"Florence2ForConditionalGeneration"
|
| 5 |
],
|
|
@@ -160,7 +160,7 @@
|
|
| 160 |
"length_penalty": 1.0,
|
| 161 |
"max_length": 20,
|
| 162 |
"min_length": 0,
|
| 163 |
-
"model_type": "
|
| 164 |
"no_repeat_ngram_size": 0,
|
| 165 |
"num_beam_groups": 1,
|
| 166 |
"num_beams": 1,
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "output/1731606035/model/florence2_pta_e2",
|
| 3 |
"architectures": [
|
| 4 |
"Florence2ForConditionalGeneration"
|
| 5 |
],
|
|
|
|
| 160 |
"length_penalty": 1.0,
|
| 161 |
"max_length": 20,
|
| 162 |
"min_length": 0,
|
| 163 |
+
"model_type": "",
|
| 164 |
"no_repeat_ngram_size": 0,
|
| 165 |
"num_beam_groups": 1,
|
| 166 |
"num_beams": 1,
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1083916964
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ecea001faffe96cb256dca224fcbb7b8a84bc27c7e863d4208d2ac2b6ce97e43
|
| 3 |
size 1083916964
|