CyberClassic
Collection
This is a models for telegram bot - https://t.me/cyber_classic_bot • 4 items • Updated • 1
How to use Roaoch/CyberClassic-Generator with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="Roaoch/CyberClassic-Generator") # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Roaoch/CyberClassic-Generator")
model = AutoModelForCausalLM.from_pretrained("Roaoch/CyberClassic-Generator")How to use Roaoch/CyberClassic-Generator with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Roaoch/CyberClassic-Generator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Roaoch/CyberClassic-Generator",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/Roaoch/CyberClassic-Generator
How to use Roaoch/CyberClassic-Generator with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "Roaoch/CyberClassic-Generator" \
--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": "Roaoch/CyberClassic-Generator",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'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 "Roaoch/CyberClassic-Generator" \
--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": "Roaoch/CyberClassic-Generator",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use Roaoch/CyberClassic-Generator with Docker Model Runner:
docker model run hf.co/Roaoch/CyberClassic-Generator
This text generator is based on OpenAI GPT2 model from HuggingFace Base model went through two step of learning
On this step model is finetuned on dataset of single sentence from the texts of Dostovesky F.M.
Training parameters:
On this step finetuned model went trough reinforcement learning pipline with TRL library.
Training parameters: