Instructions to use prashantloni/aadhaar_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use prashantloni/aadhaar_2 with Transformers:

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

pipe = pipeline("image-text-to-text", model="prashantloni/aadhaar_2")

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

tokenizer = AutoTokenizer.from_pretrained("prashantloni/aadhaar_2")
model = AutoModelForMultimodalLM.from_pretrained("prashantloni/aadhaar_2", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use prashantloni/aadhaar_2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "prashantloni/aadhaar_2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "prashantloni/aadhaar_2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/prashantloni/aadhaar_2

SGLang

How to use prashantloni/aadhaar_2 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 "prashantloni/aadhaar_2" \
    --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": "prashantloni/aadhaar_2",
		"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 "prashantloni/aadhaar_2" \
        --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": "prashantloni/aadhaar_2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use prashantloni/aadhaar_2 with Docker Model Runner:
```
docker model run hf.co/prashantloni/aadhaar_2
```

prashantloni commited on Apr 13, 2023

Commit

0da9541

1 Parent(s): e597d2d

Training in progress, epoch 15

Browse files

Files changed (2) hide show

pytorch_model.bin +1 -1
runs/Apr13_07-56-51_111895df5221/events.out.tfevents.1681372626.111895df5221.226.0 +2 -2

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e4e9db070e97692dfcb1115595fc2c5104fc047fa1ed2e7d4fd87037a42db94a
 size 809269017

 version https://git-lfs.github.com/spec/v1
+oid sha256:f12076fe530c882e61f89c6adf315ddf9e1214870e4998a2963ee2b3b2b8cf6a
 size 809269017

runs/Apr13_07-56-51_111895df5221/events.out.tfevents.1681372626.111895df5221.226.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f2a25ba5e931fa62acd84e481be990a0ac023c60aeb4e07198bd1293f0feeb2
-size 9068

 version https://git-lfs.github.com/spec/v1
+oid sha256:cb465425eff6a02855f551ddd2cce75ea8bfa1fca360c33718fc134cb55c8f20
+size 9225