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

Libraries

How to use deepparag/DumBot with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("deepparag/DumBot")
model = AutoModelForCausalLM.from_pretrained("deepparag/DumBot")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use deepparag/DumBot with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/deepparag/DumBot

SGLang

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

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

deepparag commited on Jan 6, 2022

Commit

a9e24a8

1 Parent(s): b254f25

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@@ -13,22 +13,6 @@ Trained on:
      https://www.kaggle.com/jef1056/discord-data
-Important:
-      The AI can be a bit weird at times as it is still undergoing training!
-      At times it send stuff using :<random_wierd_words>: as they are discord emotes.
-      It also send random @RandomName as it is trying to ping people.
-      This works well on discord but on the web not so much but it is easy enough to remove such stuff using [re.sub](https://docs.python.org/3/library/re.html#re.sub)
-Issues:
-     The AI like with all conversation AI lacks a character, it changes its name way too often. This can be solved using an AIML chatbot to give it a stable character!
 [Live Demo](https://dumbot-331213.uc.r.appspot.com/)


13	https://www.kaggle.com/jef1056/discord-data
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17	[Live Demo](https://dumbot-331213.uc.r.appspot.com/)
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