Instructions to use AXERA-TECH/CosyVoice2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/CosyVoice2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AXERA-TECH/CosyVoice2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/CosyVoice2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| from transformers import AutoTokenizer, PreTrainedTokenizerFast | |
| from http.server import HTTPServer, BaseHTTPRequestHandler | |
| import json | |
| import argparse | |
| from tokenizer.tokenizer import get_qwen_tokenizer | |
| class Tokenizer_Http(): | |
| def __init__(self): | |
| self.tokenizer = get_qwen_tokenizer("CosyVoice-BlankEN", True) | |
| def encode(self, prompt): | |
| token_ids = self.tokenizer.encode(prompt, allowed_special="all") | |
| return token_ids | |
| def decode(self, token_ids): | |
| return self.tokenizer.decode(token_ids) | |
| # @property | |
| # def bos_id(self): | |
| # return self.tokenizer.bos_token_id | |
| def eos_id(self): | |
| return 1773 | |
| # @property | |
| # def bos_token(self): | |
| # return self.tokenizer.bos_token | |
| def eos_token(self): | |
| return "<|eot_id|>" | |
| tokenizer = Tokenizer_Http() | |
| # print(tokenizer.bos_id, tokenizer.bos_token, tokenizer.eos_id, tokenizer.eos_token) | |
| print(tokenizer.encode("hello world")) | |
| class Request(BaseHTTPRequestHandler): | |
| #通过类继承,新定义类 | |
| timeout = 5 | |
| server_version = 'Apache' | |
| def do_GET(self): | |
| print(self.path) | |
| #在新类中定义get的内容(当客户端向该服务端使用get请求时,本服务端将如下运行) | |
| self.send_response(200) | |
| self.send_header("type", "get") #设置响应头,可省略或设置多个 | |
| self.end_headers() | |
| if self.path == '/bos_id': | |
| bos_id = tokenizer.bos_id | |
| # print(bos_id) | |
| # to json | |
| if bos_id is None: | |
| msg = json.dumps({'bos_id': -1}) | |
| else: | |
| msg = json.dumps({'bos_id': bos_id}) | |
| elif self.path == '/eos_id': | |
| eos_id = tokenizer.eos_id | |
| if eos_id is None: | |
| msg = json.dumps({'eos_id': -1}) | |
| else: | |
| msg = json.dumps({'eos_id': eos_id}) | |
| else: | |
| msg = 'error' | |
| print(msg) | |
| msg = str(msg).encode() #转为str再转为byte格式 | |
| self.wfile.write(msg) #将byte格式的信息返回给客户端 | |
| def do_POST(self): | |
| #在新类中定义post的内容(当客户端向该服务端使用post请求时,本服务端将如下运行) | |
| data = self.rfile.read(int( | |
| self.headers['content-length'])) #获取从客户端传入的参数(byte格式) | |
| data = data.decode() #将byte格式转为str格式 | |
| self.send_response(200) | |
| self.send_header("type", "post") #设置响应头,可省略或设置多个 | |
| self.end_headers() | |
| if self.path == '/encode': | |
| req = json.loads(data) | |
| prompt = req['text'] | |
| token_ids = tokenizer.encode(prompt) | |
| if token_ids is None: | |
| msg = json.dumps({'token_ids': -1}) | |
| else: | |
| msg = json.dumps({'token_ids': token_ids}) | |
| elif self.path == '/decode': | |
| req = json.loads(data) | |
| token_ids = req['token_ids'] | |
| text = tokenizer.decode(token_ids) | |
| if text is None: | |
| msg = json.dumps({'text': ""}) | |
| else: | |
| msg = json.dumps({'text': text}) | |
| else: | |
| msg = 'error' | |
| print(msg) | |
| msg = str(msg).encode() #转为str再转为byte格式 | |
| self.wfile.write(msg) #将byte格式的信息返回给客户端 | |
| if __name__ == "__main__": | |
| args = argparse.ArgumentParser() | |
| args.add_argument('--host', type=str, default='localhost') | |
| args.add_argument('--port', type=int, default=12345) | |
| args = args.parse_args() | |
| host = (args.host, args.port) #设定地址与端口号,'localhost'等价于'127.0.0.1' | |
| print('http://%s:%s' % host) | |
| server = HTTPServer(host, Request) #根据地址端口号和新定义的类,创建服务器实例 | |
| server.serve_forever() #开启服务 | |