metadata
license: mit
base_model: klusai/tf3-50M-base
pipeline_tag: text-generation
tags:
- mlx
library_name: mlx
klusai/tf3-50m-base-mlx
This model klusai/tf3-50m-base-mlx was converted to MLX format from klusai/tf3-50M-base using mlx-lm version 0.27.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("klusai/tf3-50m-base-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)