Text Generation
Transformers
Safetensors
French
fiscalité
génération-de-texte
français
8-bit precision
Instructions to use Aktraiser/modele-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktraiser/modele-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Aktraiser/modele-test")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Aktraiser/modele-test", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Aktraiser/modele-test with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Aktraiser/modele-test" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Aktraiser/modele-test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Aktraiser/modele-test
- SGLang
How to use Aktraiser/modele-test 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 "Aktraiser/modele-test" \ --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": "Aktraiser/modele-test", "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 "Aktraiser/modele-test" \ --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": "Aktraiser/modele-test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Aktraiser/modele-test with Docker Model Runner:
docker model run hf.co/Aktraiser/modele-test
Update README.md
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README.md
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@@ -55,13 +55,12 @@ load_in_4bit=True
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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Format de prompt recommandé
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prompt_template = """
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Texte principal:
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{texte}
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Question:
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{question}
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Réponse:
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"""
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Exemple d'utilisation
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texte = "Le régime micro-entrepreneur permet des démarches simplifiées pour la création, la déclaration, et le paiement des cotisations."
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question = "Qu'est-ce que le régime de la micro-entreprise ?"
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)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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Format de prompt recommandé
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prompt_template = """Tu es un expert en fiscalité.
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Texte principal:
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{texte}
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Question:
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{question}
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Réponse:
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Exemple d'utilisation
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texte = "Le régime micro-entrepreneur permet des démarches simplifiées pour la création, la déclaration, et le paiement des cotisations."
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question = "Qu'est-ce que le régime de la micro-entreprise ?"
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