Instructions to use DevidCipher/RPG-Neuro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DevidCipher/RPG-Neuro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DevidCipher/RPG-Neuro")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DevidCipher/RPG-Neuro") model = AutoModelForCausalLM.from_pretrained("DevidCipher/RPG-Neuro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use DevidCipher/RPG-Neuro with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DevidCipher/RPG-Neuro" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DevidCipher/RPG-Neuro", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/DevidCipher/RPG-Neuro
- SGLang
How to use DevidCipher/RPG-Neuro 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 "DevidCipher/RPG-Neuro" \ --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": "DevidCipher/RPG-Neuro", "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 "DevidCipher/RPG-Neuro" \ --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": "DevidCipher/RPG-Neuro", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use DevidCipher/RPG-Neuro with Docker Model Runner:
docker model run hf.co/DevidCipher/RPG-Neuro
| license: mit | |
| datasets: | |
| - AlekseyKorshuk/roleplay-io | |
| metrics: | |
| - bleu 0.19 | |
| - meteor 0.65 | |
| - rouge 0.41 | |
| base_model: | |
| - openai-community/gpt2-large | |
| language: | |
| - en | |
| pipeline_tag: text-generation | |
| new_version: DevidCipher/RPG-Neuro | |
| library_name: transformers | |
| tags: | |
| - art | |
| ```A re-trained version of GPT-2 Large, made for fantasy, rpg and role-play text generation.``` | |
| Some Metrics: | |
| BLEU ~= 0,19 | |
| METEOR ~= 0,65 | |
| ROGUE ~= 0,41 |