text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
#!/usr/bin/env python
"""Example LangChain server exposes a conversational retrieval chain.
Follow the reference here:
https://python.langchain.com/docs/expression_language/cookbook/retrieval#conversational-retrieval-chain
To run this example, you will need to install the following packages:
pip install langchain op... | langserve/examples/conversational_retrieval_chain/server.py/0 | {
"file_path": "langserve/examples/conversational_retrieval_chain/server.py",
"repo_id": "langserve",
"token_count": 1171
} | 1,125 |
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import type {
MongoClient,
Collection,
Document as MongoDocument,
} from "mongodb";
import { Document } from "@langchain/core/documents";
import { VectorStore } from "@langchain/core/vectorstores";
/** @deprecated use `MongoDBAtlasVectorSearc... | langchainjs/langchain/src/vectorstores/mongo.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/mongo.ts",
"repo_id": "langchainjs",
"token_count": 2312
} | 982 |
syntax = "proto3";
package milvus.proto.legacy;
option go_package = "github.com/milvus-io/milvus/internal/proto/legacypb";
import "common.proto";
import "schema.proto";
/********************************** Index Build Meta Before Version 220 ***************************************/
message BuildIndexRequest {
int... | milvus/cmd/tools/migration/legacy/legacy.proto/0 | {
"file_path": "milvus/cmd/tools/migration/legacy/legacy.proto",
"repo_id": "milvus",
"token_count": 302
} | 1,632 |
from langchain_experimental.utilities.python import PythonREPL
__all__ = ["PythonREPL"]
| langchain/libs/experimental/langchain_experimental/utilities/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/utilities/__init__.py",
"repo_id": "langchain",
"token_count": 27
} | 450 |
<p align="center">
<a href="https://trychroma.com"><img src="https://user-images.githubusercontent.com/891664/227103090-6624bf7d-9524-4e05-9d2c-c28d5d451481.png" alt="Chroma logo"></a>
</p>
<p align="center">
<b>Chroma - the open-source embedding database</b>. <br />
This package is for the the Python HTTP c... | chroma/clients/python/README.md/0 | {
"file_path": "chroma/clients/python/README.md",
"repo_id": "chroma",
"token_count": 503
} | 35 |
/* eslint-disable no-process-env */
import { test, expect } from "@jest/globals";
import { Client } from "@opensearch-project/opensearch";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import { OpenSearchVectorStore } from "../opensearch.js";
test.skip("Ope... | langchainjs/libs/langchain-community/src/vectorstores/tests/opensearch.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/opensearch.int.test.ts",
"repo_id": "langchainjs",
"token_count": 445
} | 973 |
from langchain_community.document_loaders.discord import DiscordChatLoader
__all__ = ["DiscordChatLoader"]
| langchain/libs/langchain/langchain/document_loaders/discord.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/discord.py",
"repo_id": "langchain",
"token_count": 30
} | 479 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-xinference/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-xinference/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,285 |
package common
import "reflect"
type ByteSlice []byte
func (s ByteSlice) Clone() ByteSlice {
clone := make(ByteSlice, len(s))
copy(clone, s)
return clone
}
func (s ByteSlice) Equal(other ByteSlice) bool {
return reflect.DeepEqual(s, other)
}
func CloneByteSlice(s ByteSlice) ByteSlice {
return s.Clone()
}
| milvus/pkg/common/byte_slice.go/0 | {
"file_path": "milvus/pkg/common/byte_slice.go",
"repo_id": "milvus",
"token_count": 120
} | 1,805 |
python_sources()
python_tests(
name="tests0",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/tests/BUILD",
"repo_id": "llama_index",
"token_count": 23
} | 1,648 |
cmake_build
.git
.docker | milvus/.dockerignore/0 | {
"file_path": "milvus/.dockerignore",
"repo_id": "milvus",
"token_count": 10
} | 1,831 |
from typing import Any, Dict, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class KnowledgeBaseWebReader(BaseReader):
"""Knowledge base reader.
Crawls and reads articles from a knowledge base/help center with Playwright.
Tested on Zendes... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/knowledge_base/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/knowledge_base/base.py",
"repo_id": "llama_index",
"token_count": 2573
} | 1,455 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,303 |
from propositional_retrieval.chain import chain
from propositional_retrieval.proposal_chain import proposition_chain
__all__ = ["chain", "proposition_chain"]
| langchain/templates/propositional-retrieval/propositional_retrieval/__init__.py/0 | {
"file_path": "langchain/templates/propositional-retrieval/propositional_retrieval/__init__.py",
"repo_id": "langchain",
"token_count": 44
} | 648 |
"""Util that calls Google Finance Search."""
from typing import Any, Dict, Optional, cast
from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
class GoogleFinanceAPIWrapper(BaseModel):
"""Wrapper for SerpAp... | langchain/libs/community/langchain_community/utilities/google_finance.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/google_finance.py",
"repo_id": "langchain",
"token_count": 1534
} | 300 |
# Recursively split by character
This text splitter is the recommended one for generic text. It is parameterized by a list of characters. It tries to split on them in order until the chunks are small enough. The default list of separators is `["\n\n", "\n", " ", ""]`. This has the effect of trying to keep all paragrap... | langchainjs/docs/core_docs/docs/modules/data_connection/document_transformers/recursive_text_splitter.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/document_transformers/recursive_text_splitter.mdx",
"repo_id": "langchainjs",
"token_count": 683
} | 756 |
[tool.poetry]
name = "python-lint"
version = "0.0.1"
description = "Python code-writing agent whose work is checked by black, ruff, and mypy."
authors = ["Joshua Sundance Bailey"]
readme = "README.md"
[tool.poetry.dependencies]
ruff = ">=0.1.8"
black = ">=23.12.0"
mypy = ">=1.7.1"
python = ">=3.8.1,<4.0"
langchain = "... | langchain/templates/python-lint/pyproject.toml/0 | {
"file_path": "langchain/templates/python-lint/pyproject.toml",
"repo_id": "langchain",
"token_count": 323
} | 679 |
import json
import os
import tempfile
import transformers
import datasets
from utils import generate_example_dataset, get_duration
SPEED_TEST_N_EXAMPLES = 500_000
RESULTS_BASEPATH, RESULTS_FILENAME = os.path.split(__file__)
RESULTS_FILE_PATH = os.path.join(RESULTS_BASEPATH, "results", RESULTS_FILENAME.replace(".py... | datasets/benchmarks/benchmark_map_filter.py/0 | {
"file_path": "datasets/benchmarks/benchmark_map_filter.py",
"repo_id": "datasets",
"token_count": 996
} | 127 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/task/task_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/task/task_test.go",
"repo_id": "milvus",
"token_count": 18147
} | 1,901 |
# constants for old pymilvus API test
import utils.util_pymilvus as utils
default_fields = utils.gen_default_fields()
default_binary_fields = utils.gen_binary_default_fields()
default_entity = utils.gen_entities(1)
default_raw_binary_vector, default_binary_entity = utils.gen_binary_entities(1)
default_entity_row = ... | milvus/tests/python_client/common/constants.py/0 | {
"file_path": "milvus/tests/python_client/common/constants.py",
"repo_id": "milvus",
"token_count": 339
} | 1,896 |
# Contributing to Milvus
Contributions to Milvus are welcome from everyone. We strive to make the contribution process simple and straightforward. Up-to-date information can be found at [milvus.io](https://milvus.io/).
The following are a set of guidelines for contributing to Milvus. Following these guidelines makes ... | milvus/CONTRIBUTING.md/0 | {
"file_path": "milvus/CONTRIBUTING.md",
"repo_id": "milvus",
"token_count": 4340
} | 1,832 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/exec/expression/BinaryRangeExpr.cpp/0 | {
"file_path": "milvus/internal/core/src/exec/expression/BinaryRangeExpr.cpp",
"repo_id": "milvus",
"token_count": 7731
} | 1,924 |
<jupyter_start><jupyter_text>Run TemplateIn `server.py`, set -```add_routes(app, chain_rag_timescale_conv, path="/rag_timescale_conversation")```<jupyter_code>from langserve.client import RemoteRunnable
rag_app = RemoteRunnable("http://0.0.0.0:8000/rag_timescale_conversation")<jupyter_output><empty_output><jupyter_tex... | langchain/templates/rag-timescale-conversation/rag_conversation.ipynb/0 | {
"file_path": "langchain/templates/rag-timescale-conversation/rag_conversation.ipynb",
"repo_id": "langchain",
"token_count": 756
} | 691 |
import logging
import pytest
import functools
import socket
import common.common_type as ct
import common.common_func as cf
from utils.util_log import test_log as log
from common.common_func import param_info
from check.param_check import ip_check, number_check
from config.log_config import log_config
from utils.util... | milvus/tests/python_client/conftest.py/0 | {
"file_path": "milvus/tests/python_client/conftest.py",
"repo_id": "milvus",
"token_count": 6243
} | 1,974 |
# Full-Stack Web Application
LlamaIndex can be integrated into a downstream full-stack web application. It can be used in a backend server (such as Flask), packaged into a Docker container, and/or directly used in a framework such as Streamlit.
We provide tutorials and resources to help you get started in this area:
... | llama_index/docs/understanding/putting_it_all_together/apps.md/0 | {
"file_path": "llama_index/docs/understanding/putting_it_all_together/apps.md",
"repo_id": "llama_index",
"token_count": 311
} | 1,152 |
import logging
import time
import pytest
from pymilvus import DataType
import numpy as np
from pathlib import Path
from base.client_base import TestcaseBase
from common import common_func as cf
from common import common_type as ct
from common.milvus_sys import MilvusSys
from common.common_type import CaseLabel, CheckTa... | milvus/tests/python_client/testcases/test_bulk_insert.py/0 | {
"file_path": "milvus/tests/python_client/testcases/test_bulk_insert.py",
"repo_id": "milvus",
"token_count": 37274
} | 2,006 |
//! 2D UNet Denoising Models
//!
//! The 2D Unet models take as input a noisy sample and the current diffusion
//! timestep and return a denoised version of the input.
use super::embeddings::{TimestepEmbedding, Timesteps};
use super::unet_2d_blocks::*;
use crate::models::with_tracing::{conv2d, Conv2d};
use candle::{Res... | candle/candle-transformers/src/models/stable_diffusion/unet_2d.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/unet_2d.rs",
"repo_id": "candle",
"token_count": 8419
} | 78 |
committers:
- congqixia
- czs007
- scsven
- xiaofan-luan
- yanliang567
- jiaoew1991
- yhmo
- matrixji
- LoveEachDay
- XuanYang-cn
- JackLCL
- bigsheeper
| milvus/COMMITTERS/0 | {
"file_path": "milvus/COMMITTERS",
"repo_id": "milvus",
"token_count": 86
} | 1,883 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/storage/azure-blob-storage/AzureBlobChunkManager.h/0 | {
"file_path": "milvus/internal/core/src/storage/azure-blob-storage/AzureBlobChunkManager.h",
"repo_id": "milvus",
"token_count": 1250
} | 1,776 |
python_sources()
| llama_index/llama-index-core/llama_index/core/llms/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/llms/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,137 |
# These kubernetes manifests are UNDER ACTIVE DEVELOPMENT and are not yet ready for production use.
# They will be used for the upcoming distributed version of chroma. They are not even ready
# for testing yet. Please do not use them unless you are working on the distributed version of chroma.
apiVersion: v1
kind: Se... | chroma/k8s/test/pulsar_service.yaml/0 | {
"file_path": "chroma/k8s/test/pulsar_service.yaml",
"repo_id": "chroma",
"token_count": 186
} | 58 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datacoord/segment_allocation_policy.go/0 | {
"file_path": "milvus/internal/datacoord/segment_allocation_policy.go",
"repo_id": "milvus",
"token_count": 2422
} | 1,831 |
<jupyter_start><jupyter_text>Tavily Search API[Tavily's Search API](https://tavily.com) is a search engine built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed.We can use this as a [retriever](/docs/modules/data_connection/retrievers). It will show functionality specific... | langchain/docs/docs/integrations/retrievers/tavily.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/tavily.ipynb",
"repo_id": "langchain",
"token_count": 682
} | 171 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/evaluation/tonic_validate/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/evaluation/tonic_validate/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,652 |
{
"modelname": "BrandNewBERT",
"uppercase_modelname": "BRAND_NEW_BERT",
"lowercase_modelname": "brand_new_bert",
"camelcase_modelname": "BrandNewBert",
"has_slow_class": ["True", "False"],
"has_fast_class": ["True", "False"],
"slow_tokenizer_use_sentencepiece": ["True", "False"],
"authors": "The Hugging... | transformers/templates/adding_a_missing_tokenization_test/cookiecutter.json/0 | {
"file_path": "transformers/templates/adding_a_missing_tokenization_test/cookiecutter.json",
"repo_id": "transformers",
"token_count": 129
} | 719 |
---
- name: Install Packages
yum: name={{ item }} state=latest update_cache=yes
with_items:
- ntp
- tcpdump
- python3
- wget
- openssl
- curl
- python3-pip
when: ansible_distribution == 'CentOS' or ansible_distribution == 'Red Hat Enterprise Linux'
- name: Install Packages
apt: nam... | milvus/deployments/docker/cluster-distributed-deployment/roles/install-modules/tasks/main.yml/0 | {
"file_path": "milvus/deployments/docker/cluster-distributed-deployment/roles/install-modules/tasks/main.yml",
"repo_id": "milvus",
"token_count": 218
} | 1,625 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,693 |
import { SqlDatabase } from "langchain/sql_db";
import { DataSource } from "typeorm";
const datasource = new DataSource({
type: "sqlite",
database: "../../../../Chinook.db",
});
const db = await SqlDatabase.fromDataSourceParams({
appDataSource: datasource,
});
console.log(db.allTables.map((t) => t.tableName));
/... | langchainjs/examples/src/use_cases/sql/db_check.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/sql/db_check.ts",
"repo_id": "langchainjs",
"token_count": 190
} | 919 |
# coding=utf-8
# Copyright 2020 Microsoft and the Hugging Face Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | transformers/src/transformers/models/deberta_v2/modeling_deberta_v2.py/0 | {
"file_path": "transformers/src/transformers/models/deberta_v2/modeling_deberta_v2.py",
"repo_id": "transformers",
"token_count": 29893
} | 587 |
<jupyter_start><jupyter_text>Few-shot examples for chat modelsThis notebook covers how to use few-shot examples in chat models. There does not appear to be solid consensus on how best to do few-shot prompting, and the optimal prompt compilation will likely vary by model. Because of this, we provide few-shot prompt temp... | langchain/docs/docs/modules/model_io/prompts/few_shot_examples_chat.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/prompts/few_shot_examples_chat.ipynb",
"repo_id": "langchain",
"token_count": 2368
} | 210 |
<jupyter_start><jupyter_text>FastEmbed by Qdrant>[FastEmbed](https://qdrant.github.io/fastembed/) from [Qdrant](https://qdrant.tech) is a lightweight, fast, Python library built for embedding generation. >>- Quantized model weights>- ONNX Runtime, no PyTorch dependency>- CPU-first design>- Data-parallelism for encoding... | langchain/docs/docs/integrations/text_embedding/fastembed.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/fastembed.ipynb",
"repo_id": "langchain",
"token_count": 609
} | 173 |
to a snake
Moses' assistant
Egyptian royal court
let his rod turn in to a snake
The Pokémon Company
Nintendo
world's top-selling toy brand, the top-selling trading card game
over 20 seasons
| transformers/examples/research_projects/rag-end2end-retriever/test_run/dummy-train-data/test.target/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/test_run/dummy-train-data/test.target",
"repo_id": "transformers",
"token_count": 49
} | 597 |
import os
from typing import Any, List, Optional
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.callbacks import CBEventType, EventPayload
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.schema import NodeWithScore, QueryBundle
class... | llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/llama_index/postprocessor/cohere_rerank/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-cohere-rerank/llama_index/postprocessor/cohere_rerank/base.py",
"repo_id": "llama_index",
"token_count": 1256
} | 1,327 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/memory/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/memory/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,210 |
import asyncio
import logging
from typing import Dict, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
class MongodbLoader(BaseLoader):
"""Load MongoDB documents."""
def __init__(
sel... | langchain/libs/community/langchain_community/document_loaders/mongodb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/mongodb.py",
"repo_id": "langchain",
"token_count": 1022
} | 251 |
from langchain_ibm import __all__
EXPECTED_ALL = ["WatsonxLLM"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| langchain/libs/partners/ibm/tests/unit_tests/test_imports.py/0 | {
"file_path": "langchain/libs/partners/ibm/tests/unit_tests/test_imports.py",
"repo_id": "langchain",
"token_count": 59
} | 626 |
data "external_schema" "gorm" {
program = [
"go",
"run",
"-mod=mod",
"ariga.io/atlas-provider-gorm",
"load",
"--path", "./internal/metastore/db/dbmodel",
"--dialect", "postgres",
]
}
env "gorm" {
src = data.external_schema.gorm.url
dev = "postgres://localhost:5432/dev?sslmode=disabl... | chroma/go/coordinator/atlas.hcl/0 | {
"file_path": "chroma/go/coordinator/atlas.hcl",
"repo_id": "chroma",
"token_count": 206
} | 43 |
# coding=utf-8
# Copyright 2021 The Eleuther AI and HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | transformers/src/transformers/models/gpt_neo/modeling_gpt_neo.py/0 | {
"file_path": "transformers/src/transformers/models/gpt_neo/modeling_gpt_neo.py",
"repo_id": "transformers",
"token_count": 25688
} | 613 |
import os
import pkgutil
from copy import deepcopy
from torch import nn as nn
from timm.layers import Conv2dSame, BatchNormAct2d, Linear
__all__ = ['extract_layer', 'set_layer', 'adapt_model_from_string', 'adapt_model_from_file']
def extract_layer(model, layer):
layer = layer.split('.')
module = model
... | pytorch-image-models/timm/models/_prune.py/0 | {
"file_path": "pytorch-image-models/timm/models/_prune.py",
"repo_id": "pytorch-image-models",
"token_count": 2021
} | 339 |
<jupyter_start><jupyter_text>Aphrodite Engine[Aphrodite](https://github.com/PygmalionAI/aphrodite-engine) is the open-source large-scale inference engine designed to serve thousands of users on the [PygmalionAI](https://pygmalion.chat) website.* Attention mechanism by vLLM for fast throughput and low latencies * Suppor... | langchain/docs/docs/integrations/llms/aphrodite.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/aphrodite.ipynb",
"repo_id": "langchain",
"token_count": 1209
} | 115 |
from langchain_community.llms import HuggingFaceTextGenInference
def test_invocation_params_stop_sequences() -> None:
llm = HuggingFaceTextGenInference()
assert llm._default_params["stop_sequences"] == []
runtime_stop = None
assert llm._invocation_params(runtime_stop)["stop_sequences"] == []
asse... | langchain/libs/community/tests/integration_tests/llms/test_huggingface_text_gen_inference.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_huggingface_text_gen_inference.py",
"repo_id": "langchain",
"token_count": 263
} | 371 |
import { Document } from "@langchain/core/documents";
/**
* Splits a list of documents into sublists based on a maximum token limit.
*
* @param {Document[]} docs - The list of documents to be split.
* @param {Function} lengthFunc - A function that calculates the number of tokens in a list of documents.
* @param {... | langchainjs/langchain/src/chains/combine_documents/reduce.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/combine_documents/reduce.ts",
"repo_id": "langchainjs",
"token_count": 977
} | 953 |
import itertools
from dataclasses import dataclass
from typing import List, Optional
import pyarrow as pa
import pyarrow.parquet as pq
import datasets
from datasets.table import table_cast
logger = datasets.utils.logging.get_logger(__name__)
@dataclass
class ParquetConfig(datasets.BuilderConfig):
"""BuilderCo... | datasets/src/datasets/packaged_modules/parquet/parquet.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/parquet/parquet.py",
"repo_id": "datasets",
"token_count": 2068
} | 137 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/processing_utils.py/0 | {
"file_path": "transformers/src/transformers/processing_utils.py",
"repo_id": "transformers",
"token_count": 9681
} | 702 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/task_index_test.go/0 | {
"file_path": "milvus/internal/proxy/task_index_test.go",
"repo_id": "milvus",
"token_count": 10479
} | 1,833 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_sharing.md/0 | {
"file_path": "transformers/docs/source/en/model_sharing.md",
"repo_id": "transformers",
"token_count": 2963
} | 493 |
import re
from typing import List, Optional, Tuple
import math
import torch
from text_generation_server.pb import generate_pb2
from text_generation_server.pb.generate_pb2 import FinishReason, GrammarType
from text_generation_server.utils.logits_process import (
FrequencyPenaltyLogitsProcessor,
GrammarLogitProc... | text-generation-inference/server/text_generation_server/utils/tokens.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/tokens.py",
"repo_id": "text-generation-inference",
"token_count": 10876
} | 451 |
# Retry Query Engine
This LlamaPack inserts your data into [Weaviate](https://weaviate.io/developers/weaviate) and uses the [Retry Query Engine](https://gpt-index.readthedocs.io/en/latest/examples/evaluation/RetryQuery.html) for your RAG application.
## CLI Usage
You can download llamapacks directly using `llamainde... | llama_index/llama-index-packs/llama-index-packs-retry-engine-weaviate/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-retry-engine-weaviate/README.md",
"repo_id": "llama_index",
"token_count": 739
} | 1,868 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/storage/docstore/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/storage/docstore/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,818 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/visual_bert/test_modeling_visual_bert.py/0 | {
"file_path": "transformers/tests/models/visual_bert/test_modeling_visual_bert.py",
"repo_id": "transformers",
"token_count": 14046
} | 743 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_cycle_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_cycle_diffusion.py",
"repo_id": "diffusers",
"token_count": 21263
} | 257 |
// Code generated by protoc-gen-go-grpc. DO NOT EDIT.
// versions:
// - protoc-gen-go-grpc v1.3.0
// - protoc v4.23.4
// source: chromadb/proto/chroma.proto
package coordinatorpb
import (
context "context"
grpc "google.golang.org/grpc"
codes "google.golang.org/grpc/codes"
status "google.golang.org/grp... | chroma/go/coordinator/internal/proto/coordinatorpb/chroma_grpc.pb.go/0 | {
"file_path": "chroma/go/coordinator/internal/proto/coordinatorpb/chroma_grpc.pb.go",
"repo_id": "chroma",
"token_count": 1791
} | 50 |
<jupyter_start><jupyter_text>**Fine-tuning for Audio Classification with 🤗 Transformers** This notebook shows how to fine-tune multi-lingual pretrained speech models for Automatic Speech Recognition. This notebook is built to run on the **Keyword Spotting** subset of the [SUPERB dataset](https://huggingface.co/dataset... | notebooks/examples/audio_classification.ipynb/0 | {
"file_path": "notebooks/examples/audio_classification.ipynb",
"repo_id": "notebooks",
"token_count": 4362
} | 305 |
# AWS SageMakerEndpoint
LangChain.js supports integration with AWS SageMaker-hosted endpoints. Check [Amazon SageMaker JumpStart](https://aws.amazon.com/sagemaker/jumpstart/) for a list of available models, and how to deploy your own.
## Setup
You'll need to install the official SageMaker SDK as a peer dependency:
... | langchainjs/docs/core_docs/docs/integrations/llms/aws_sagemaker.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/aws_sagemaker.mdx",
"repo_id": "langchainjs",
"token_count": 240
} | 762 |
"""Vectara RAG Pack."""
from typing import Any, Dict, List, Optional
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.schema import TextNode
from llama_index.indices.managed.vectara import VectaraIndex
class VectaraRagPack(BaseLlamaPack):
"""Vectara RAG pack."""
def __init_... | llama_index/llama-index-packs/llama-index-packs-vectara-rag/llama_index/packs/vectara_rag/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vectara-rag/llama_index/packs/vectara_rag/base.py",
"repo_id": "llama_index",
"token_count": 562
} | 1,685 |
# LlamaIndex Kvstore Integration: Postgres
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-postgres/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,425 |
"""DeepLake multimodal Retrieval Pack."""
from typing import Any, Dict, List, Optional
from llama_index.core.indices.multi_modal import MultiModalVectorStoreIndex
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.query_engine import SimpleMultiModalQueryEngine
from llama_index.core.sch... | llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/llama_index/packs/deeplake_multimodal_retrieval/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/llama_index/packs/deeplake_multimodal_retrieval/base.py",
"repo_id": "llama_index",
"token_count": 1365
} | 1,650 |
package msgstream
import (
"context"
"math/rand"
"reflect"
"runtime"
"sync"
"testing"
"time"
"github.com/stretchr/testify/assert"
"go.uber.org/zap"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/mq/msgstream/mqwrapper"
"github.com/milvus-io/milvus/pkg/util/funcutil"
)
func testSt... | milvus/pkg/mq/msgstream/stream_test.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/stream_test.go",
"repo_id": "milvus",
"token_count": 2943
} | 1,903 |
from langchain_core.callbacks import __all__
EXPECTED_ALL = [
"RetrieverManagerMixin",
"LLMManagerMixin",
"ChainManagerMixin",
"ToolManagerMixin",
"Callbacks",
"CallbackManagerMixin",
"RunManagerMixin",
"BaseCallbackHandler",
"AsyncCallbackHandler",
"BaseCallbackManager",
"B... | langchain/libs/core/tests/unit_tests/callbacks/test_imports.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/callbacks/test_imports.py",
"repo_id": "langchain",
"token_count": 362
} | 428 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/vit_msn/test_modeling_vit_msn.py/0 | {
"file_path": "transformers/tests/models/vit_msn/test_modeling_vit_msn.py",
"repo_id": "transformers",
"token_count": 3549
} | 794 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-rag-evaluator/examples/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-evaluator/examples/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,862 |
from typing import Any
from packaging import version
def _import_pinecone() -> Any:
"""
Try to import pinecone module. If it's not already installed, instruct user how to install.
"""
try:
import pinecone
except ImportError as e:
raise ImportError(
"Could not import pi... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/pinecone_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/pinecone_utils.py",
"repo_id": "llama_index",
"token_count": 317
} | 1,611 |
# coding=utf-8
# Copyright 2022 KAIST and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | transformers/src/transformers/models/glpn/modeling_glpn.py/0 | {
"file_path": "transformers/src/transformers/models/glpn/modeling_glpn.py",
"repo_id": "transformers",
"token_count": 13224
} | 622 |
"""Class for a VectorStore-backed memory object."""
from typing import Any, Dict, List, Optional, Sequence, Union
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import Field
from langchain_core.vectorstores import VectorStoreRetriever
from langchain.memory.chat_memory import BaseMemory... | langchain/libs/langchain/langchain/memory/vectorstore.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/vectorstore.py",
"repo_id": "langchain",
"token_count": 1126
} | 549 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/utils/update_metadata.py/0 | {
"file_path": "transformers/utils/update_metadata.py",
"repo_id": "transformers",
"token_count": 5884
} | 859 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package datacoord
import (
context "context"
mock "github.com/stretchr/testify/mock"
)
// NMockAllocator is an autogenerated mock type for the allocator type
type NMockAllocator struct {
mock.Mock
}
type NMockAllocator_Expecter struct {
mock *mock.Mock
}
func... | milvus/internal/datacoord/mock_allocator_test.go/0 | {
"file_path": "milvus/internal/datacoord/mock_allocator_test.go",
"repo_id": "milvus",
"token_count": 1536
} | 1,776 |
import random
import string
from langchain_core.documents import Document
from langchain_community.document_loaders.pyspark_dataframe import (
PySparkDataFrameLoader,
)
def test_pyspark_loader_load_valid_data() -> None:
from pyspark.sql import SparkSession
# Requires a session to be set up
spark = ... | langchain/libs/community/tests/integration_tests/document_loaders/test_pyspark_dataframe_loader.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_pyspark_dataframe_loader.py",
"repo_id": "langchain",
"token_count": 456
} | 326 |
import datetime
from typing import Any, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.outputs import LLMResult
from langchain_community.llms.openai import OpenAI, OpenAIChat
class PromptLayerOpenAI(OpenAI):
"""PromptL... | langchain/libs/community/langchain_community/llms/promptlayer_openai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/promptlayer_openai.py",
"repo_id": "langchain",
"token_count": 4125
} | 281 |
from __future__ import annotations
import logging
from typing import Any, Dict, List, Optional, Tuple, Type, Union
from langchain.base_language import BaseLanguageModel
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain.chains.llm import LLMChain
from langchain.prompts import BasePrompt... | langchain/libs/experimental/langchain_experimental/rl_chain/pick_best_chain.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/rl_chain/pick_best_chain.py",
"repo_id": "langchain",
"token_count": 7219
} | 454 |
base_job_name: accelerate-sagemaker-1
compute_environment: AMAZON_SAGEMAKER
distributed_type: DATA_PARALLEL
ec2_instance_type: ml.p3.16xlarge
iam_role_name: xxxxx
image_uri: null
mixed_precision: fp16
num_machines: 1
profile: xxxxx
py_version: py38
pytorch_version: 1.10.2
region: us-east-1
sagemaker_inputs_file: sagema... | notebooks/sagemaker/22_accelerate_sagemaker_examples/src/text-classification/accelerate_config.yaml/0 | {
"file_path": "notebooks/sagemaker/22_accelerate_sagemaker_examples/src/text-classification/accelerate_config.yaml",
"repo_id": "notebooks",
"token_count": 177
} | 290 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/pipelines/stable_diffusion/upscale.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/stable_diffusion/upscale.md",
"repo_id": "diffusers",
"token_count": 475
} | 187 |
# Quickstart
In this quickstart we'll show you how to:
- Get setup with LangChain and LangSmith
- Use the most basic and common components of LangChain: prompt templates, models, and output parsers
- Use LangChain Expression Language, the protocol that LangChain is built on and which facilitates component chaining
- ... | langchainjs/docs/core_docs/docs/get_started/quickstart.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/get_started/quickstart.mdx",
"repo_id": "langchainjs",
"token_count": 7408
} | 770 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | diffusers/examples/controlnet/train_controlnet.py/0 | {
"file_path": "diffusers/examples/controlnet/train_controlnet.py",
"repo_id": "diffusers",
"token_count": 19970
} | 208 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/groupvit/configuration_groupvit.py/0 | {
"file_path": "transformers/src/transformers/models/groupvit/configuration_groupvit.py",
"repo_id": "transformers",
"token_count": 8505
} | 649 |
syntax = "proto3";
package milvus.proto.eventlog;
option go_package = "github.com/milvus-io/milvus/pkg/eventlog";
service EventLogService {
rpc Listen(ListenRequest) returns(stream Event) {}
}
message ListenRequest {
}
message Event {
Level level = 1;
int32 type = 2;
bytes data = 3;
int64 ts = 4... | milvus/pkg/eventlog/event_log.proto/0 | {
"file_path": "milvus/pkg/eventlog/event_log.proto",
"repo_id": "milvus",
"token_count": 175
} | 1,816 |
"""Cohere Reranker Finetuning Engine."""
import importlib.util
import os
from typing import Optional
from llama_index.finetuning.types import BaseCohereRerankerFinetuningEngine
from llama_index.postprocessor.cohere_rerank import CohereRerank
class CohereRerankerFinetuneEngine(BaseCohereRerankerFinetuningEngine):
... | llama_index/llama-index-finetuning/llama_index/finetuning/rerankers/cohere_reranker.py/0 | {
"file_path": "llama_index/llama-index-finetuning/llama_index/finetuning/rerankers/cohere_reranker.py",
"repo_id": "llama_index",
"token_count": 1279
} | 1,336 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: test-indexnode-pod-failure
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
component: indexnode
mode: fixed
value: "1"
action: pod-failur... | milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_indexnode_pod_failure.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_indexnode_pod_failure.yaml",
"repo_id": "milvus",
"token_count": 142
} | 2,025 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-arxiv/llama_index/tools/arxiv/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-arxiv/llama_index/tools/arxiv/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,429 |
from langchain.callbacks.base import BaseCallbackHandler
from langchain.schema import ChatMessage
from langchain_openai import ChatOpenAI
import streamlit as st
class StreamHandler(BaseCallbackHandler):
def __init__(self, container, initial_text=""):
self.container = container
self.text = initial_... | streamlit-agent/streamlit_agent/basic_streaming.py/0 | {
"file_path": "streamlit-agent/streamlit_agent/basic_streaming.py",
"repo_id": "streamlit-agent",
"token_count": 503
} | 1,992 |
---
sidebar_class_name: hidden
---
# Adding memory (state)
Chains can be initialized with a Memory object, which will persist data across calls to the chain. This makes a Chain stateful.
## Get started
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationInstallToolt... | langchainjs/docs/core_docs/docs/modules/chains/how_to/memory.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/chains/how_to/memory.mdx",
"repo_id": "langchainjs",
"token_count": 403
} | 738 |
<jupyter_start><jupyter_text>RankGPT Reranker Demonstration (Van Gogh Wiki)This demo integrates [RankGPT](https://github.com/sunnweiwei/RankGPT) into LlamaIndex as a reranker.Paper: [Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents](https://arxiv.org/abs/2304.09542)the idea of `RankGP... | llama_index/docs/examples/node_postprocessor/rankGPT.ipynb/0 | {
"file_path": "llama_index/docs/examples/node_postprocessor/rankGPT.ipynb",
"repo_id": "llama_index",
"token_count": 2739
} | 1,098 |
package indexparamcheck
import (
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
)
func TestCheckIndexValid(t *testing.T) {
assert.NoError(t, CheckIndexValid(schemapb.DataType_Int64, "inverted_index", nil))
}
| milvus/pkg/util/indexparamcheck/scalar_index_checker_test.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/scalar_index_checker_test.go",
"repo_id": "milvus",
"token_count": 113
} | 1,972 |
# Metric Card for TER
## Metric Description
TER (Translation Edit Rate, also called Translation Error Rate) is a metric to quantify the edit operations that a hypothesis requires to match a reference translation. We use the implementation that is already present in [sacrebleu](https://github.com/mjpost/sacreBLEU#ter),... | datasets/metrics/ter/README.md/0 | {
"file_path": "datasets/metrics/ter/README.md",
"repo_id": "datasets",
"token_count": 2596
} | 126 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/layoutlmv2/test_modeling_layoutlmv2.py/0 | {
"file_path": "transformers/tests/models/layoutlmv2/test_modeling_layoutlmv2.py",
"repo_id": "transformers",
"token_count": 9928
} | 752 |
import builtins
import unittest
from typing import Any, Callable, Type
from unittest.mock import patch
import pytest
from llama_index.legacy.vector_stores.pinecone import (
PineconeVectorStore,
)
class MockPineconePods:
__version__ = "2.2.4"
@staticmethod
def init(api_key: str, environment: str) -> ... | llama_index/llama-index-legacy/tests/vector_stores/test_pinecone.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/vector_stores/test_pinecone.py",
"repo_id": "llama_index",
"token_count": 1393
} | 1,825 |
# Rust builder
FROM lukemathwalker/cargo-chef:latest-rust-1.75 AS chef
WORKDIR /usr/src
ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse
FROM chef as planner
COPY Cargo.toml Cargo.toml
COPY rust-toolchain.toml rust-toolchain.toml
COPY proto proto
COPY benchmark benchmark
COPY router router
COPY launcher launcher
RUN ca... | text-generation-inference/Dockerfile_amd/0 | {
"file_path": "text-generation-inference/Dockerfile_amd",
"repo_id": "text-generation-inference",
"token_count": 2127
} | 356 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/commands/env.py/0 | {
"file_path": "transformers/src/transformers/commands/env.py",
"repo_id": "transformers",
"token_count": 2227
} | 557 |
<jupyter_start><jupyter_text>KuzuQAChainThis notebook shows how to use LLMs to provide a natural language interface to [Kùzu](https://kuzudb.com) database. [Kùzu](https://kuzudb.com) is an in-process property graph database management system. You can simply install it with `pip`:```bashpip install kuzu```Once installed... | langchain/docs/docs/use_cases/graph/graph_kuzu_qa.ipynb/0 | {
"file_path": "langchain/docs/docs/use_cases/graph/graph_kuzu_qa.ipynb",
"repo_id": "langchain",
"token_count": 1297
} | 193 |
""" Transformer in Transformer (TNT) in PyTorch
A PyTorch implement of TNT as described in
'Transformer in Transformer' - https://arxiv.org/abs/2103.00112
The official mindspore code is released and available at
https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/TNT
"""
import math
import torch
... | pytorch-image-models/timm/models/tnt.py/0 | {
"file_path": "pytorch-image-models/timm/models/tnt.py",
"repo_id": "pytorch-image-models",
"token_count": 6715
} | 378 |
# Kaltura eSearch Loader
This loader reads Kaltura Entries from [Kaltura](https://corp.kaltura.com) based on a Kaltura eSearch API call.
Search queries can be passed as a pre-defined object of KalturaESearchEntryParams, or through a simple free text query.
The result is a list of documents containing the Kaltura Entri... | llama_index/llama-index-integrations/readers/llama-index-readers-kaltura/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-kaltura/README.md",
"repo_id": "llama_index",
"token_count": 3257
} | 1,372 |
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