nan-wang

nan-wang

nan-wang

nan-wang

import time
from typing import Any, Optional, Dict, List

import requests
from langchain.chains.router.llm_router import RouterChain
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
from pydantic import SecretStr, model_validator

JINA_API_URL: str = "http://api.jina.ai/v1/classify"

nan-wang

from jina import Executor, Document, DocumentArray
encoder = Executor.from_hub('jinahub://TransformerTorchEncoder')
da = DocumentArray([
    Document(text='Jina is a neural search framework.'),
    Document(text='Jina relies heavily on multiprocessing.'),
    Document(text='Jina is backed by Jina AI.')])

encoder.encode(docs=da)
for doc in da:
    print(f'{doc.embedding}')

nan-wang

from transformer_tf_text_encode import TransformerTFTextEncoder
from jina import Document, DocumentArray

encoder = TransformerTFTextEncoder(
    pretrained_model_name_or_path='hfl/chinese-legal-electra-small-generator',
    pooling_strategy='cls'
)

case_1 = {
    'query': [