Text Generation
Transformers
PyTorch
TensorFlow
JAX
Safetensors
French
gpt2
text-generation-inference
Instructions to use antoinelouis/belgpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antoinelouis/belgpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="antoinelouis/belgpt2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("antoinelouis/belgpt2") model = AutoModelForCausalLM.from_pretrained("antoinelouis/belgpt2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use antoinelouis/belgpt2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "antoinelouis/belgpt2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "antoinelouis/belgpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/antoinelouis/belgpt2
- SGLang
How to use antoinelouis/belgpt2 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 "antoinelouis/belgpt2" \ --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": "antoinelouis/belgpt2", "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 "antoinelouis/belgpt2" \ --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": "antoinelouis/belgpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use antoinelouis/belgpt2 with Docker Model Runner:
docker model run hf.co/antoinelouis/belgpt2
Download pytorch_model.bin from antoinelouis/belgpt2: direct link, hf CLI and curl.
- Browser
- Download file 548 MB
-
https://huggingface.co/antoinelouis/belgpt2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://antoinelouis/belgpt2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/antoinelouis/belgpt2/resolve/main/pytorch_model.bin
548 MB
- Xet hash:
- 9ab614fbc0cabb51389c3a2c62ea091eb8f1fae0167c769a61c2cd2802b0f51c
- Size of remote file:
- 548 MB
- SHA256:
- 5d0e186366621cb2e8f786c9191fe1051645b18a33bb53f3fc5c20d96f9fdb68
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