Instructions to use Nakul24/AD_ChatBot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Nakul24/AD_ChatBot with Transformers:

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

pipe = pipeline("text-generation", model="Nakul24/AD_ChatBot")

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

tokenizer = AutoTokenizer.from_pretrained("Nakul24/AD_ChatBot")
model = AutoModelForCausalLM.from_pretrained("Nakul24/AD_ChatBot", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Nakul24/AD_ChatBot with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Nakul24/AD_ChatBot"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Nakul24/AD_ChatBot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Nakul24/AD_ChatBot

SGLang

How to use Nakul24/AD_ChatBot 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 "Nakul24/AD_ChatBot" \
    --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": "Nakul24/AD_ChatBot",
		"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 "Nakul24/AD_ChatBot" \
        --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": "Nakul24/AD_ChatBot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Nakul24/AD_ChatBot with Docker Model Runner:
```
docker model run hf.co/Nakul24/AD_ChatBot
```

AD_ChatBot

Commit History

Jun 30, 2023

19:53
Adding `safetensors` variant of this model⁠

SFconvertbot

21f0233

Jul 17, 2022

08:51
Create README.md

Nakul24

143b0ab
08:47
add tokenizer

Nakul24

04f9010
08:46
add model

Nakul24

4110d3b
08:45
initial commit

Nakul24

a783ae3

Commit History

Jun 30, 2023

Adding `safetensors` variant of this model⁠

Jul 17, 2022

Create README.md

add tokenizer

add model

initial commit