Instructions to use anezatra/gpt2-rdanny-chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use anezatra/gpt2-rdanny-chatbot with Transformers:

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

pipe = pipeline("text-generation", model="anezatra/gpt2-rdanny-chatbot")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("anezatra/gpt2-rdanny-chatbot")
model = AutoModelForCausalLM.from_pretrained("anezatra/gpt2-rdanny-chatbot")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use anezatra/gpt2-rdanny-chatbot with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "anezatra/gpt2-rdanny-chatbot"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "anezatra/gpt2-rdanny-chatbot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/anezatra/gpt2-rdanny-chatbot

SGLang

How to use anezatra/gpt2-rdanny-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 "anezatra/gpt2-rdanny-chatbot" \
    --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": "anezatra/gpt2-rdanny-chatbot",
		"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 "anezatra/gpt2-rdanny-chatbot" \
        --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": "anezatra/gpt2-rdanny-chatbot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use anezatra/gpt2-rdanny-chatbot with Docker Model Runner:
```
docker model run hf.co/anezatra/gpt2-rdanny-chatbot
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

GPT-2 rDanny ChatBot

Model Description

Training a GPT-2 model using the rDany dataset is a significant step forward in the advancement of artificial intelligence technologies. This model, designed as a chatbot, can generate human-like conversations by learning from vast datasets covering various topics. Capable of interacting with users, answering questions, and even making jokes, this model opens up new possibilities for communication and interaction in the digital world.

Authors

Developed by: Anezatra
Model type: GPT2
Contacts: https://github.com/anezatra

Downloads last month: 2

Safetensors

Model size

0.1B params

Tensor type

F32

Model tree for anezatra/gpt2-rdanny-chatbot

Quantizations

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