README.md

metadata

library_name: transformers
language:
  - ru
  - en
pipeline_tag: text-generation
license: other
license_name: apache-2.0
license_link: >-
  https://huggingface.co/MTSAIR/Cotype-Nano/blob/main/Apache%20License%20MTS%20AI.docx
tags:
  - mlx
base_model: MTSAIR/Cotype-Nano

enikeev/Cotype-Nano-MLX

The Model enikeev/Cotype-Nano-MLX was converted to MLX format from MTSAIR/Cotype-Nano using mlx-lm version 0.20.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("enikeev/Cotype-Nano-MLX")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)