Instructions to use RANDMEDIATION/DiogenialRAG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RANDMEDIATION/DiogenialRAG with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("RANDMEDIATION/DiogenialRAG") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use RANDMEDIATION/DiogenialRAG with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "RANDMEDIATION/DiogenialRAG" --prompt "Once upon a time"
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## Example
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### Exemple dans le corpus
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Diogène dit que si Alexandre avait été moins ambitieux, il aurait bien voulu être Diogène.
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## Example
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### Exemple dans le corpus
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Φασὶ δὲ καὶ Ἀλέξανδρον εἰπεῖν ὡς εἴπερ Ἀλέξανδρος μὴ ἐγεγόνει, ἐθελῆσαι ἂν Διογένης γενέσθαι
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est:
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Diogène dit que si Alexandre avait été moins ambitieux, il aurait bien voulu être Diogène.
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