Instructions to use emese-tech/csermely-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use emese-tech/csermely-mlx 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("emese-tech/csermely-mlx") 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 emese-tech/csermely-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "emese-tech/csermely-mlx" --prompt "Once upon a time"
| { | |
| "bos_token": "<bos>", | |
| "eos_token": "<eos>", | |
| "unk_token": "<unk>", | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "add_bos_token": true, | |
| "add_eos_token": false, | |
| "model_max_length": 8192, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "clean_up_tokenization_spaces": false | |
| } | |