Instructions to use DARKVIP3R/DialoGPT-medium-Anakin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DARKVIP3R/DialoGPT-medium-Anakin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DARKVIP3R/DialoGPT-medium-Anakin") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DARKVIP3R/DialoGPT-medium-Anakin") model = AutoModelForCausalLM.from_pretrained("DARKVIP3R/DialoGPT-medium-Anakin") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use DARKVIP3R/DialoGPT-medium-Anakin with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DARKVIP3R/DialoGPT-medium-Anakin" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DARKVIP3R/DialoGPT-medium-Anakin", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/DARKVIP3R/DialoGPT-medium-Anakin
- SGLang
How to use DARKVIP3R/DialoGPT-medium-Anakin 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 "DARKVIP3R/DialoGPT-medium-Anakin" \ --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": "DARKVIP3R/DialoGPT-medium-Anakin", "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 "DARKVIP3R/DialoGPT-medium-Anakin" \ --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": "DARKVIP3R/DialoGPT-medium-Anakin", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use DARKVIP3R/DialoGPT-medium-Anakin with Docker Model Runner:
docker model run hf.co/DARKVIP3R/DialoGPT-medium-Anakin
- Xet hash:
- aa828fbad0d66e00fcb9f74ac23e5da392bab8cce1d08662e7c613527e6cc021
- Size of remote file:
- 510 MB
- SHA256:
- b02bf0bb7309c057c125c539480e83ab4ef484e9a1ec445b46ea094975ca3cc0
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