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62 lines
2.1 KiB
62 lines
2.1 KiB
# Copyright 2021 Zilliz. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import List
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import torch
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from transformers import pipeline
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from towhee.operator.base import PyOperator
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class HuggingfaceDolly(PyOperator):
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'''Wrapper of OpenAI Chat API'''
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def __init__(self,
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model_name: str = 'databricks/dolly-v2-12b',
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**kwargs
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):
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torch_dtype = kwargs.get('torch_dtype', torch.bfloat16)
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trust_remote_code = kwargs.get('trust_remote_code', True)
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device_map = kwargs.get('device_map', 'auto')
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self.pipeline = pipeline(model=model_name, torch_dtype=torch_dtype, trust_remote_code=trust_remote_code, device_map=device_map)
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def __call__(self, messages: List[dict]):
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prompt = self.parse_inputs(messages)
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ans = self.pipeline(prompt)
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return ans[0]['generated_text']
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def parse_inputs(self, messages: List[dict]):
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assert isinstance(messages, list), \
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'Inputs must be a list of dictionaries with keys from ["system", "question", "answer"].'
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prompt = messages[-1]['question']
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history = ''
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for m in messages[:-1]:
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for k, v in m.items():
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if k == 'answer':
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history += v + '\n'
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return prompt + '\n' + history
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@staticmethod
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def supported_model_names():
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model_list = [
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'databricks/dolly-v2-12b',
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'databricks/dolly-v2-7b',
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'databricks/dolly-v2-3b',
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'databricks/dolly-v1-6b'
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]
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model_list.sort()
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return model_list
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