Instructions to use emonHasan01/BanglaGPT-Pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use emonHasan01/BanglaGPT-Pro with Transformers:

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

pipe = pipeline("text-generation", model="emonHasan01/BanglaGPT-Pro")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

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

tokenizer = AutoTokenizer.from_pretrained("emonHasan01/BanglaGPT-Pro")
model = AutoModelForCausalLM.from_pretrained("emonHasan01/BanglaGPT-Pro", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use emonHasan01/BanglaGPT-Pro with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "emonHasan01/BanglaGPT-Pro"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "emonHasan01/BanglaGPT-Pro",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/emonHasan01/BanglaGPT-Pro

SGLang

How to use emonHasan01/BanglaGPT-Pro 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 "emonHasan01/BanglaGPT-Pro" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "emonHasan01/BanglaGPT-Pro",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "emonHasan01/BanglaGPT-Pro" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "emonHasan01/BanglaGPT-Pro",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use emonHasan01/BanglaGPT-Pro with Docker Model Runner:
```
docker model run hf.co/emonHasan01/BanglaGPT-Pro
```

emonHasan01 commited on 7 days ago

Commit

da7cd21

verified ·

1 Parent(s): 02f9d50

Update README.md

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@@ -34,7 +34,15 @@ model-index:
             value: 0.4566
 ---
-<img src="assets/banner.png" alt="bangla-gemma-pro" width="100%">
 # bangla-gemma-pro

             value: 0.4566
 ---
+<img src="assets/bangla_gemma_light.png" alt="emonHasan01/bangla-gemma-pro" width="100%">
+<div align="center">
+[Hugging Face](https://huggingface.co/emonHasan01) | [GitHub](https://github.com/Md-Emon-Hasan) | [LinkedIn](https://www.linkedin.com/in/md-emon-hasan-695483237/) | [WhatsApp](https://wa.me/8801834363533) | [Portfolio](https://emonlabs-ai.hitechparks.com/)
+**Author:** [Md. Emon Hasan](https://huggingface.co/emonHasan01)
+</div>
 # bangla-gemma-pro