Instructions to use AlexEtsaDaPizza/text_normalizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AlexEtsaDaPizza/text_normalizer with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("AlexEtsaDaPizza/text_normalizer") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use AlexEtsaDaPizza/text_normalizer with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "AlexEtsaDaPizza/text_normalizer"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "AlexEtsaDaPizza/text_normalizer" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AlexEtsaDaPizza/text_normalizer", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
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Download README.md from AlexEtsaDaPizza/text_normalizer: direct link, hf CLI and curl.
- Browser
- Download file 480 Bytes
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https://huggingface.co/AlexEtsaDaPizza/text_normalizer/resolve/main/README.md
- Command line
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hf download hf://AlexEtsaDaPizza/text_normalizer/README.md
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curl -L -o README.md https://huggingface.co/AlexEtsaDaPizza/text_normalizer/resolve/main/README.md
480 Bytes
| base_model: google/gemma-3-270m-it | |
| license: gemma | |
| tags: | |
| - gemma3 | |
| - gemma | |
| - mlx | |
| pipeline_tag: text-generation | |
| library_name: mlx | |
| extra_gated_heading: Access Gemma on Hugging Face | |
| extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and | |
| agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging | |
| Face and click below. Requests are processed immediately. | |
| extra_gated_button_content: Acknowledge license | |