text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from llama_index.llms.gradient.base import GradientBaseModelLLM, GradientModelAdapterLLM
__all__ = ["GradientBaseModelLLM", "GradientModelAdapterLLM"]
| llama_index/llama-index-integrations/llms/llama-index-llms-gradient/llama_index/llms/gradient/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-gradient/llama_index/llms/gradient/__init__.py",
"repo_id": "llama_index",
"token_count": 49
} | 1,257 |
from contextlib import contextmanager
from typing import Any, Generator, Generic, Iterator, Optional, Sequence, Type, Union
from typing_extensions import Self
from langgraph.channels.base import BaseChannel, Value
def flatten(values: Sequence[Union[Value, list[Value]]]) -> Iterator[Value]:
for value in values:
... | langgraph/langgraph/channels/topic.py/0 | {
"file_path": "langgraph/langgraph/channels/topic.py",
"repo_id": "langgraph",
"token_count": 1071
} | 992 |
"""Implements Program-Aided Language Models.
As in https://arxiv.org/pdf/2211.10435.pdf.
This is vulnerable to arbitrary code execution:
https://github.com/langchain-ai/langchain/issues/5872
"""
from langchain_experimental.pal_chain.base import PALChain
__all__ = ["PALChain"]
| langchain/libs/experimental/langchain_experimental/pal_chain/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/pal_chain/__init__.py",
"repo_id": "langchain",
"token_count": 92
} | 421 |
[dockernodes]
dockernode01
dockernode02
dockernode03
[coords]
; Take note the IP of this host VM, and replace 10.170.0.17 with it.
dockernode01
[nodes]
dockernode02
[dependencies]
; dependencies node will host etcd, minio, pulsar, these 3 roles are the foundation of Milvus.
; Take note the IP of this host VM, and r... | milvus/deployments/docker/cluster-distributed-deployment/inventory.ini/0 | {
"file_path": "milvus/deployments/docker/cluster-distributed-deployment/inventory.ini",
"repo_id": "milvus",
"token_count": 553
} | 1,761 |
<jupyter_start><jupyter_text>MongoDB Atlas>[MongoDB Atlas](https://www.mongodb.com/docs/atlas/) is a fully-managed cloud database available in AWS, Azure, and GCP. It now has support for native Vector Search on your MongoDB document data.This notebook shows how to use [MongoDB Atlas Vector Search](https://www.mongodb.... | langchain/docs/docs/integrations/vectorstores/mongodb_atlas.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/mongodb_atlas.ipynb",
"repo_id": "langchain",
"token_count": 2235
} | 182 |
---
sidebar_label: SalesGPT
hide_table_of_contents: true
sidebar_position: 4
---
import CodeBlock from "@theme/CodeBlock";
# SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base
This notebook demonstrates an implementation of a **Context-Aware** AI Sales agent with a Product Knowledge Base.
This not... | langchainjs/docs/core_docs/docs/use_cases/autonomous_agents/sales_gpt.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/autonomous_agents/sales_gpt.mdx",
"repo_id": "langchainjs",
"token_count": 14189
} | 767 |
import logging
import math
from collections import defaultdict
from typing import Any, List
import vecs
from llama_index.core.constants import DEFAULT_EMBEDDING_DIM
from llama_index.core.schema import BaseNode, TextNode
from llama_index.core.vector_stores.types import (
MetadataFilters,
VectorStore,
Vector... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/llama_index/vector_stores/supabase/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/llama_index/vector_stores/supabase/base.py",
"repo_id": "llama_index",
"token_count": 2538
} | 1,571 |
from langchain_community.document_loaders.web_base import (
WebBaseLoader,
)
__all__ = ["WebBaseLoader"]
| langchain/libs/langchain/langchain/document_loaders/web_base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/web_base.py",
"repo_id": "langchain",
"token_count": 38
} | 518 |
package connection
import "sync"
var connectionManagerInstance *connectionManager
var getConnectionManagerInstanceOnce sync.Once
func GetManager() *connectionManager {
getConnectionManagerInstanceOnce.Do(func() {
connectionManagerInstance = newConnectionManager(
withDuration(defaultConnCheckDuration),
with... | milvus/internal/proxy/connection/global.go/0 | {
"file_path": "milvus/internal/proxy/connection/global.go",
"repo_id": "milvus",
"token_count": 102
} | 1,813 |
"use node";
import { ConvexVectorStore } from "@langchain/community/vectorstores/convex";
import { OpenAIEmbeddings } from "@langchain/openai";
import { v } from "convex/values";
import { action } from "./_generated/server.js";
export const search = action({
args: {
query: v.string(),
},
handler: async (ctx... | langchainjs/examples/src/indexes/vector_stores/convex/search.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/convex/search.ts",
"repo_id": "langchainjs",
"token_count": 178
} | 802 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/llama_index/tools/chatgpt_plugin/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/llama_index/tools/chatgpt_plugin/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,481 |
#!/usr/bin/env python
# Copyright 2023 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
#
# Unles... | accelerate/src/accelerate/commands/estimate.py/0 | {
"file_path": "accelerate/src/accelerate/commands/estimate.py",
"repo_id": "accelerate",
"token_count": 4235
} | 11 |
# Hands-on [[hands-on]]
<CourseFloatingBanner classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/notebooks/unit3/unit3.ipynb"}
]}
askForHelpUrl="http://hf.co/join/discor... | deep-rl-class/units/en/unit3/hands-on.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit3/hands-on.mdx",
"repo_id": "deep-rl-class",
"token_count": 5087
} | 164 |
import json
import pickle
import pytest
from tokenizers import Tokenizer
from tokenizers.models import BPE
from tokenizers.pre_tokenizers import ByteLevel as ByteLevelPreTokenizer
from tokenizers.processors import (
BertProcessing,
ByteLevel,
PostProcessor,
RobertaProcessing,
Sequence,
Templat... | tokenizers/bindings/python/tests/bindings/test_processors.py/0 | {
"file_path": "tokenizers/bindings/python/tests/bindings/test_processors.py",
"repo_id": "tokenizers",
"token_count": 4132
} | 426 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "util/convex",
});
export * from "@langchain/community/util/convex";
| langchainjs/langchain/src/util/convex.ts/0 | {
"file_path": "langchainjs/langchain/src/util/convex.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 1,027 |
#include "cuda_utils.cuh"
#include <cmath>
#include <stdint.h>
const int BLOCK_SIZE = 1024;
// TODO: Maybe add some fast_sum_f16_f32 variant that not only accumulate in f32
// but also expect a f32 output so that this can be used for normalization e.g.
// in softmax.
// Fast reduce sum kernel, this assumes that the ... | candle/candle-kernels/src/reduce.cu/0 | {
"file_path": "candle/candle-kernels/src/reduce.cu",
"repo_id": "candle",
"token_count": 8419
} | 56 |
# 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/src/transformers/models/convbert/modeling_tf_convbert.py/0 | {
"file_path": "transformers/src/transformers/models/convbert/modeling_tf_convbert.py",
"repo_id": "transformers",
"token_count": 26614
} | 623 |
version: '3.5'
services:
pytest:
image: ${IMAGE_REPO}/pytest:${IMAGE_TAG}
build:
context: ../..
dockerfile: tests/docker/Dockerfile
cache_from:
- ${IMAGE_REPO}/pytest:${LATEST_IMAGE_TAG}
shm_size: 2G
environment:
MILVUS_SERVICE_IP: ${MILVUS_SERVICE_IP}
MILVUS_SER... | milvus/tests/docker/docker-compose.yml/0 | {
"file_path": "milvus/tests/docker/docker-compose.yml",
"repo_id": "milvus",
"token_count": 303
} | 1,957 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package meta
import (
context "context"
datapb "github.com/milvus-io/milvus/internal/proto/datapb"
indexpb "github.com/milvus-io/milvus/internal/proto/indexpb"
milvuspb "github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
mock "github.com/stretchr/testify/m... | milvus/internal/querycoordv2/meta/mock_broker.go/0 | {
"file_path": "milvus/internal/querycoordv2/meta/mock_broker.go",
"repo_id": "milvus",
"token_count": 6370
} | 2,032 |
from langchain_community.document_loaders.pdf import (
AmazonTextractPDFLoader,
BasePDFLoader,
DocumentIntelligenceLoader,
MathpixPDFLoader,
OnlinePDFLoader,
PDFMinerLoader,
PDFMinerPDFasHTMLLoader,
PDFPlumberLoader,
PyMuPDFLoader,
PyPDFDirectoryLoader,
PyPDFium2Loader,
P... | langchain/libs/langchain/langchain/document_loaders/pdf.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/pdf.py",
"repo_id": "langchain",
"token_count": 315
} | 514 |
# Zephyr Query Engine Pack
Create a query engine using completely local and private models -- `HuggingFaceH4/zephyr-7b-beta` for the LLM and `BAAI/bge-base-en-v1.5` for embeddings.
## CLI Usage
You can download llamapacks directly using `llamaindex-cli`, which comes installed with the `llama-index` python package:
... | llama_index/llama-index-packs/llama-index-packs-zephyr-query-engine/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-zephyr-query-engine/README.md",
"repo_id": "llama_index",
"token_count": 483
} | 1,604 |
# Alibaba Cloud
>[Alibaba Group Holding Limited (Wikipedia)](https://en.wikipedia.org/wiki/Alibaba_Group), or `Alibaba`
> (Chinese: 阿里巴巴), is a Chinese multinational technology company specializing in e-commerce, retail,
> Internet, and technology.
>
> [Alibaba Cloud (Wikipedia)](https://en.wikipedia.org/wiki/Alibab... | langchain/docs/docs/integrations/providers/alibaba_cloud.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/alibaba_cloud.mdx",
"repo_id": "langchain",
"token_count": 370
} | 129 |
// 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/accesslog/util.go/0 | {
"file_path": "milvus/internal/proxy/accesslog/util.go",
"repo_id": "milvus",
"token_count": 985
} | 2,012 |
# coding=utf-8
# Copyright 2023 HuggingFace Inc.
#
# 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 ag... | transformers/tests/models/tvlt/test_feature_extraction_tvlt.py/0 | {
"file_path": "transformers/tests/models/tvlt/test_feature_extraction_tvlt.py",
"repo_id": "transformers",
"token_count": 3058
} | 790 |
package utils
import (
"encoding/json"
"os"
"time"
"github.com/rs/zerolog"
"github.com/rs/zerolog/log"
"github.com/rs/zerolog/pkgerrors"
"google.golang.org/protobuf/encoding/protojson"
pb "google.golang.org/protobuf/proto"
)
const DefaultLogLevel = zerolog.InfoLevel
var (
// LogLevel Used for flags
LogLev... | chroma/go/coordinator/internal/utils/log.go/0 | {
"file_path": "chroma/go/coordinator/internal/utils/log.go",
"repo_id": "chroma",
"token_count": 426
} | 55 |
<jupyter_start><jupyter_text>Citing retrieval sourcesThis notebook shows how to use OpenAI functions ability to extract citations from text.<jupyter_code>from langchain.chains import create_citation_fuzzy_match_chain
from langchain_openai import ChatOpenAI
question = "What did the author do during college?"
context = "... | langchain/cookbook/qa_citations.ipynb/0 | {
"file_path": "langchain/cookbook/qa_citations.ipynb",
"repo_id": "langchain",
"token_count": 615
} | 75 |
"""Test components."""
from llama_index.legacy.query_pipeline.components.tool_runner import (
ToolRunnerComponent,
)
from llama_index.legacy.tools.function_tool import FunctionTool
from llama_index.legacy.tools.types import ToolMetadata
def foo_fn(a: int, b: int = 1, c: int = 2) -> int:
"""Foo function."""
... | llama_index/llama-index-legacy/tests/query_pipeline/components/test_tool_runner.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/query_pipeline/components/test_tool_runner.py",
"repo_id": "llama_index",
"token_count": 388
} | 1,564 |
from langchain_community.utilities.powerbi import (
PowerBIDataset,
)
__all__ = [
"PowerBIDataset",
]
| langchain/libs/langchain/langchain/utilities/powerbi.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/powerbi.py",
"repo_id": "langchain",
"token_count": 48
} | 606 |
import os
import posixpath
import uuid
from dataclasses import dataclass
from typing import TYPE_CHECKING, Iterable, List, Optional, Tuple, Union
import numpy as np
import pyarrow as pa
import datasets
from datasets.arrow_writer import ArrowWriter, ParquetWriter
from datasets.config import MAX_SHARD_SIZE
from dataset... | datasets/src/datasets/packaged_modules/spark/spark.py/0 | {
"file_path": "datasets/src/datasets/packaged_modules/spark/spark.py",
"repo_id": "datasets",
"token_count": 6664
} | 136 |
import { BabyAGI } from "langchain/experimental/babyagi";
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import { OpenAIEmbeddings, OpenAI } from "@langchain/openai";
import { LLMChain } from "langchain/chains";
import { ChainTool } from "langchain/tools";
import { initializeAgentExecutorWithOptions... | langchainjs/examples/src/experimental/babyagi/weather_with_tools.ts/0 | {
"file_path": "langchainjs/examples/src/experimental/babyagi/weather_with_tools.ts",
"repo_id": "langchainjs",
"token_count": 3341
} | 790 |
# 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 applicabl... | trl/trl/core.py/0 | {
"file_path": "trl/trl/core.py",
"repo_id": "trl",
"token_count": 4437
} | 886 |
"""Test LLM-generated structured query parsing."""
from typing import Any, cast
import lark
import pytest
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
)
from langchain.chains.query_constructor.parser import get_parser
DEFAULT_PARSER = get_parser()
... | langchain/libs/langchain/tests/unit_tests/chains/query_constructor/test_parser.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/chains/query_constructor/test_parser.py",
"repo_id": "langchain",
"token_count": 1785
} | 598 |
import unittest
import pytest
from langchain_community.document_loaders.parsers.language.perl import PerlSegmenter
@pytest.mark.requires("tree_sitter", "tree_sitter_languages")
class TestPerlSegmenter(unittest.TestCase):
def setUp(self) -> None:
self.example_code = """sub Hello {
print "Hello, World!"... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_perl.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_perl.py",
"repo_id": "langchain",
"token_count": 577
} | 366 |
mod app;
pub mod coco_classes;
pub mod model;
pub mod worker;
pub use app::App;
pub use worker::Worker;
| candle/candle-wasm-examples/yolo/src/lib.rs/0 | {
"file_path": "candle/candle-wasm-examples/yolo/src/lib.rs",
"repo_id": "candle",
"token_count": 37
} | 81 |
from langchain_community.llms.baseten import Baseten
__all__ = ["Baseten"]
| langchain/libs/langchain/langchain/llms/baseten.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/baseten.py",
"repo_id": "langchain",
"token_count": 28
} | 536 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-asana/llama_index/readers/asana/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-asana/llama_index/readers/asana/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,378 |
# Copyright 2023 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 required by appl... | transformers/src/transformers/models/llava/convert_llava_weights_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/llava/convert_llava_weights_to_hf.py",
"repo_id": "transformers",
"token_count": 2138
} | 623 |
# DashVector
> [DashVector](https://help.aliyun.com/document_detail/2510225.html) is a fully-managed vectorDB service that supports high-dimension dense and sparse vectors, real-time insertion and filtered search. It is built to scale automatically and can adapt to different application requirements.
This document ... | langchain/docs/docs/integrations/providers/dashvector.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/dashvector.mdx",
"repo_id": "langchain",
"token_count": 267
} | 134 |
from langchain_community.vectorstores.vespa import VespaStore
__all__ = ["VespaStore"]
| langchain/libs/langchain/langchain/vectorstores/vespa.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/vespa.py",
"repo_id": "langchain",
"token_count": 28
} | 589 |
<!--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/ko/perf_infer_gpu_one.md/0 | {
"file_path": "transformers/docs/source/ko/perf_infer_gpu_one.md",
"repo_id": "transformers",
"token_count": 6492
} | 530 |
<!--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/optimization/mps.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/mps.md",
"repo_id": "diffusers",
"token_count": 1061
} | 189 |
import { ZepVectorStore } from "@langchain/community/vectorstores/zep";
import { OpenAIEmbeddings } from "@langchain/openai";
import { TextLoader } from "langchain/document_loaders/fs/text";
import { randomUUID } from "crypto";
const loader = new TextLoader("src/document_loaders/example_data/example.txt");
const docs ... | langchainjs/examples/src/indexes/vector_stores/zep/zep_with_openai_embeddings.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/zep/zep_with_openai_embeddings.ts",
"repo_id": "langchainjs",
"token_count": 380
} | 884 |
<!--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... | accelerate/docs/source/usage_guides/mps.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/mps.md",
"repo_id": "accelerate",
"token_count": 861
} | 6 |
dist
node_modules
src/generated
| chroma/clients/js/.prettierignore/0 | {
"file_path": "chroma/clients/js/.prettierignore",
"repo_id": "chroma",
"token_count": 10
} | 31 |
# 🦜️🧪 LangChain Experimental
This package holds experimental LangChain code, intended for research and experimental
uses.
> [!WARNING]
> Portions of the code in this package may be dangerous if not properly deployed
> in a sandboxed environment. Please be wary of deploying experimental code
> to production unless y... | langchain/libs/experimental/README.md/0 | {
"file_path": "langchain/libs/experimental/README.md",
"repo_id": "langchain",
"token_count": 157
} | 434 |
---
sidebar_class_name: hidden
---
import CodeBlock from "@theme/CodeBlock";
import Example from "@examples/agents/custom_llm_agent.ts";
import RunnableExample from "@examples/agents/custom_llm_agent_runnable.ts";
# Custom LLM Agent
This notebook goes through how to create your own custom LLM agent.
An LLM agent co... | langchainjs/docs/core_docs/docs/modules/agents/how_to/custom_llm_agent.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/how_to/custom_llm_agent.mdx",
"repo_id": "langchainjs",
"token_count": 529
} | 748 |
# Introduction [[introduction]]
In this bonus unit, we'll reinforce what we learned in the first unit by teaching Huggy the Dog to fetch the stick and then [play with him directly in your browser](https://huggingface.co/spaces/ThomasSimonini/Huggy) 🐶
<img src="https://huggingface.co/datasets/huggingface-deep-rl-cour... | deep-rl-class/units/en/unitbonus1/introduction.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus1/introduction.mdx",
"repo_id": "deep-rl-class",
"token_count": 138
} | 164 |
"""Summary index.
A simple data structure where LlamaIndex iterates through document chunks
in sequence in order to answer a given query.
"""
from enum import Enum
from typing import Any, Dict, Optional, Sequence, Union
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.data_st... | llama_index/llama-index-legacy/llama_index/legacy/indices/list/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/list/base.py",
"repo_id": "llama_index",
"token_count": 2022
} | 1,600 |
package grpcutils
type GrpcConfig struct {
// BindAddress is the address to bind the GRPC server to.
BindAddress string
// GRPC mTLS config
CertPath string
KeyPath string
CAPath string
}
func (c *GrpcConfig) MTLSEnabled() bool {
return c.CertPath != "" && c.KeyPath != "" && c.CAPath != ""
}
| chroma/go/coordinator/internal/grpccoordinator/grpcutils/config.go/0 | {
"file_path": "chroma/go/coordinator/internal/grpccoordinator/grpcutils/config.go",
"repo_id": "chroma",
"token_count": 105
} | 42 |
# Copyright 2021 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... | accelerate/src/accelerate/data_loader.py/0 | {
"file_path": "accelerate/src/accelerate/data_loader.py",
"repo_id": "accelerate",
"token_count": 20415
} | 12 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-nomic/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-nomic/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,253 |
<!--Copyright 2023 The Intel Labs Team Authors, The Microsoft Research Team Authors 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... | transformers/docs/source/en/model_doc/bridgetower.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bridgetower.md",
"repo_id": "transformers",
"token_count": 2392
} | 470 |
from langchain_core.utils.strings import comma_list, stringify_dict, stringify_value
__all__ = ["stringify_value", "stringify_dict", "comma_list"]
| langchain/libs/langchain/langchain/utils/strings.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utils/strings.py",
"repo_id": "langchain",
"token_count": 48
} | 580 |
from langchain_community.document_loaders.parsers.language.language_parser import (
LanguageParser,
)
__all__ = ["LanguageParser"]
| langchain/libs/langchain/langchain/document_loaders/parsers/language/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/parsers/language/__init__.py",
"repo_id": "langchain",
"token_count": 42
} | 534 |
<jupyter_start><jupyter_text>Rockset> Rockset is a real-time analytics database which enables queries on massive, semi-structured data without operational burden. With Rockset, ingested data is queryable within one second and analytical queries against that data typically execute in milliseconds. Rockset is compute opt... | langchain/docs/docs/integrations/document_loaders/rockset.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/rockset.ipynb",
"repo_id": "langchain",
"token_count": 1928
} | 109 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-telegram/llama_index/readers/telegram/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-telegram/llama_index/readers/telegram/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,558 |
import { LLMChain } from "langchain/chains";
import { ChatOpenAI } from "@langchain/openai";
import { ChatPromptTemplate } from "@langchain/core/prompts";
export const run = async () => {
const chat = new ChatOpenAI({ temperature: 0 });
const chatPrompt = ChatPromptTemplate.fromMessages([
[
"system",
... | langchainjs/examples/src/chat/llm_chain.ts/0 | {
"file_path": "langchainjs/examples/src/chat/llm_chain.ts",
"repo_id": "langchainjs",
"token_count": 236
} | 851 |
<!--Copyright 2023 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/tasks/knowledge_distillation_for_image_classification.md/0 | {
"file_path": "transformers/docs/source/en/tasks/knowledge_distillation_for_image_classification.md",
"repo_id": "transformers",
"token_count": 2621
} | 474 |
import { ChatOpenAI } from "@langchain/openai";
import {
InputValues,
MemoryVariables,
OutputValues,
getInputValue,
getOutputValue,
} from "@langchain/core/memory";
import { getBufferString } from "@langchain/core/messages";
import {
BaseChatMemory,
BaseChatMemoryInput,
} from "@langchain/community/memory... | langchainjs/langchain/src/agents/toolkits/conversational_retrieval/token_buffer_memory.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/toolkits/conversational_retrieval/token_buffer_memory.ts",
"repo_id": "langchainjs",
"token_count": 1443
} | 947 |
"""Hypothetical Document Embeddings.
https://arxiv.org/abs/2212.10496
"""
from __future__ import annotations
from typing import Any, Dict, List, Optional
import numpy as np
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.embeddings import Embeddings
from langchain_core.language_mo... | langchain/libs/langchain/langchain/chains/hyde/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/hyde/base.py",
"repo_id": "langchain",
"token_count": 1335
} | 505 |
# SegmentSealed
SegmentSealed has an extra interface rather than SegmentInterface:
1. `LoadIndex(loadIndexInfo)`: load the index. indexInfo contains:
1. `FieldId`
2. `IndexParams`: index parameters in KV structure KV
3. `VecIndex`: vector index
2. `LoadFieldData(loadFieldDataInfo)`: load column data, could... | milvus/docs/design_docs/segcore/segment_sealed.md/0 | {
"file_path": "milvus/docs/design_docs/segcore/segment_sealed.md",
"repo_id": "milvus",
"token_count": 678
} | 1,631 |
package datacoord
import (
"math"
"sync"
"go.uber.org/zap"
"github.com/milvus-io/milvus/internal/util/sessionutil"
"github.com/milvus-io/milvus/pkg/log"
)
type IndexEngineVersionManager interface {
Startup(sessions map[string]*sessionutil.Session)
AddNode(session *sessionutil.Session)
RemoveNode(session *se... | milvus/internal/datacoord/index_engine_version_manager.go/0 | {
"file_path": "milvus/internal/datacoord/index_engine_version_manager.go",
"repo_id": "milvus",
"token_count": 882
} | 1,685 |
"""Json agent."""
| langchain/libs/community/langchain_community/agent_toolkits/json/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/json/__init__.py",
"repo_id": "langchain",
"token_count": 7
} | 213 |
<jupyter_start><jupyter_text>HuggingFace LLM - StableLM If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-llms-huggingface
!pip install llama-index
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging... | llama_index/docs/examples/customization/llms/SimpleIndexDemo-Huggingface_stablelm.ipynb/0 | {
"file_path": "llama_index/docs/examples/customization/llms/SimpleIndexDemo-Huggingface_stablelm.ipynb",
"repo_id": "llama_index",
"token_count": 1432
} | 1,051 |
import logging
from typing import Any, Dict, List, Mapping, Optional
from urllib.parse import urlparse
from langchain_core.callbacks import (
CallbackManagerForLLMRun,
)
from langchain_core.language_models import BaseChatModel
from langchain_core.messages import (
AIMessage,
BaseMessage,
ChatMessage,
... | langchain/libs/community/langchain_community/chat_models/mlflow.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/mlflow.py",
"repo_id": "langchain",
"token_count": 3050
} | 228 |
import { Textarea, TextareaProps } from "@chakra-ui/react";
import ResizeTextarea from "react-textarea-autosize";
import React from "react";
interface ResizeTextareaProps {
maxRows?: number;
}
const ResizableTextarea: React.FC<ResizeTextareaProps> = ({
maxRows,
...props
}) => {
return <ResizeTextarea maxRows=... | chat-langchain/chat-langchain/app/components/AutoResizeTextarea.tsx/0 | {
"file_path": "chat-langchain/chat-langchain/app/components/AutoResizeTextarea.tsx",
"repo_id": "chat-langchain",
"token_count": 318
} | 6 |
<jupyter_start><jupyter_text>Bias et limitations Installez la bibliothèque 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install transformers[sentencepiece]
from transformers import pipeline
unmasker = pipeline("fill-mask", model="camembert-base")
result = unmasker("Cet homme travaille comme <mask>.... | notebooks/course/fr/chapter1/section8.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter1/section8.ipynb",
"repo_id": "notebooks",
"token_count": 173
} | 309 |
<script lang="ts">
import ChatWindow from "$lib/components/chat/ChatWindow.svelte";
import { pendingMessage } from "$lib/stores/pendingMessage";
import { isAborted } from "$lib/stores/isAborted";
import { onMount } from "svelte";
import { page } from "$app/stores";
import { goto, invalidate } from "$app/navigatio... | chat-ui/src/routes/conversation/[id]/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/conversation/[id]/+page.svelte",
"repo_id": "chat-ui",
"token_count": 5362
} | 110 |
from langchain.retrievers.multi_query import MultiQueryRetriever
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.chat_models import ChatOllama, ChatOpenAI
from langchain_community.document_loaders import WebBaseLoader
from langchain_community.embeddings import OpenAIEmbedding... | langchain/templates/rag-ollama-multi-query/rag_ollama_multi_query/chain.py/0 | {
"file_path": "langchain/templates/rag-ollama-multi-query/rag_ollama_multi_query/chain.py",
"repo_id": "langchain",
"token_count": 704
} | 660 |
import { ChatOpenAI } from "@langchain/openai";
import {
BufferMemory,
CombinedMemory,
ConversationSummaryMemory,
} from "langchain/memory";
import { ConversationChain } from "langchain/chains";
import { PromptTemplate } from "@langchain/core/prompts";
// buffer memory
const bufferMemory = new BufferMemory({
m... | langchainjs/examples/src/memory/combined.ts/0 | {
"file_path": "langchainjs/examples/src/memory/combined.ts",
"repo_id": "langchainjs",
"token_count": 644
} | 796 |
<jupyter_start><jupyter_text>Unit 1: Train your first Deep Reinforcement Learning Agent 🤖In this notebook, you'll train your **first Deep Reinforcement Learning agent** a Lunar Lander agent that will learn to **land correctly on the Moon 🌕**. Using [Stable-Baselines3](https://stable-baselines3.readthedocs.io/en/maste... | deep-rl-class/notebooks/unit1/unit1.ipynb/0 | {
"file_path": "deep-rl-class/notebooks/unit1/unit1.ipynb",
"repo_id": "deep-rl-class",
"token_count": 7619
} | 172 |
import { AgentAction, AgentFinish } from "@langchain/core/agents";
import { OutputParserException } from "@langchain/core/output_parsers";
import { AgentActionOutputParser } from "../types.js";
/**
* @example
* ```typescript
* const prompt = ChatPromptTemplate.fromMessages([
* HumanMessagePromptTemplate.fromTemp... | langchainjs/langchain/src/agents/xml/output_parser.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/xml/output_parser.ts",
"repo_id": "langchainjs",
"token_count": 656
} | 949 |
# How to enable use TLS proxy
Milvus proxy uses TLS two-way and one-way authentication.
## How to create your own certificate.
### 1. Prerequisites
Make sure OpenSSL is installed. If you have not installed it, [build and install](https://github.com/openssl/openssl/blob/master/INSTALL.md) OpenSSL first.
```shell
... | milvus/docs/user_guides/tls_proxy.md/0 | {
"file_path": "milvus/docs/user_guides/tls_proxy.md",
"repo_id": "milvus",
"token_count": 5504
} | 1,726 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["HuggingFaceFSReader"]
contains_example = false
import_path = "llama_index.readers.hugging... | llama_index/llama-index-integrations/readers/llama-index-readers-huggingface-fs/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-huggingface-fs/pyproject.toml",
"repo_id": "llama_index",
"token_count": 696
} | 1,387 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 a... | transformers/examples/legacy/benchmarking/run_benchmark.py/0 | {
"file_path": "transformers/examples/legacy/benchmarking/run_benchmark.py",
"repo_id": "transformers",
"token_count": 699
} | 554 |
use std::ops::Deref;
// mirrors chromadb/utils/messageid.py
use num_bigint::BigInt;
use pulsar::{consumer::data::MessageData, proto::MessageIdData};
use crate::types::SeqId;
pub(crate) struct PulsarMessageIdWrapper(pub(crate) MessageData);
impl Deref for PulsarMessageIdWrapper {
type Target = MessageIdData;
... | chroma/rust/worker/src/ingest/message_id.rs/0 | {
"file_path": "chroma/rust/worker/src/ingest/message_id.rs",
"repo_id": "chroma",
"token_count": 613
} | 60 |
/******************************************************************************
* Copyright (c) 2023, Tri Dao.
******************************************************************************/
#pragma once
#include <cmath>
#include <cute/tensor.hpp>
#include <cutlass/numeric_types.h>
#include "philox.cuh"
#include... | candle/candle-flash-attn/kernels/softmax.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/softmax.h",
"repo_id": "candle",
"token_count": 7224
} | 56 |
interactions:
- request:
body: '{"input": [[2059, 7341, 527, 264, 1912, 315, 658, 10753, 677, 81, 3581,
7795, 32971, 555, 264, 7558, 321, 351, 61798, 30535, 11, 4330, 311, 8254, 342,
484, 1776, 1220, 389, 279, 11314, 315, 279, 2010, 11, 323, 281, 1279, 278, 66079,
430, 527, 539, 75754, 311, 279, 2... | langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_elasticsearch/TestElasticsearch.test_custom_index_add_documents.yaml/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_elasticsearch/TestElasticsearch.test_custom_index_add_documents.yaml",
"repo_id": "langchain",
"token_count": 31699
} | 384 |
// 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/ChunkCacheSingleton.h/0 | {
"file_path": "milvus/internal/core/src/storage/ChunkCacheSingleton.h",
"repo_id": "milvus",
"token_count": 611
} | 1,942 |
# DeepLake DeepMemory Pack
This LlamaPack inserts your multimodal data (texts, images) into deeplake and insantiates an deeplake retriever, which will use clip for embedding images and GPT4-V during runtime.
## CLI Usage
You can download llamapacks directly using `llamaindex-cli`, which comes installed with the `lla... | llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/README.md",
"repo_id": "llama_index",
"token_count": 566
} | 1,781 |
<jupyter_start><jupyter_text>Que peuvent faire les *transformers* ? Installez la bibliothèque 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install transformers[sentencepiece]
from transformers import pipeline<jupyter_output><empty_output><jupyter_text>Analyse de sentiments<jupyter_code>classifier = ... | notebooks/course/fr/chapter1/section3.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter1/section3.ipynb",
"repo_id": "notebooks",
"token_count": 1607
} | 283 |
# Examples
Please check out https://huggingface.co/docs/trl/example_overview for documentation on our examples. | trl/examples/README.md/0 | {
"file_path": "trl/examples/README.md",
"repo_id": "trl",
"token_count": 30
} | 866 |
<!--Copyright 2023 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/ja/perf_train_cpu_many.md/0 | {
"file_path": "transformers/docs/source/ja/perf_train_cpu_many.md",
"repo_id": "transformers",
"token_count": 3275
} | 497 |
# What's Knowhere
## Concepts
Vector index is a time-efficient and space-efficient data structure built on vectors through a certain mathematical model. Through the vector index, we can efficiently query several vectors similar to the target vector.
Since accurate retrieval is usually very time-consuming, most of the... | milvus/docs/design_docs/20211223-knowhere_design.md/0 | {
"file_path": "milvus/docs/design_docs/20211223-knowhere_design.md",
"repo_id": "milvus",
"token_count": 772
} | 1,906 |
# coding=utf-8
# Copyright 2022 EleutherAI 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
#... | text-generation-inference/server/text_generation_server/models/custom_modeling/neox_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/neox_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 14270
} | 385 |
<jupyter_start><jupyter_text>StreamingAll `LLM`s implement the `Runnable` interface, which comes with default implementations of all methods, ie. ainvoke, batch, abatch, stream, astream. This gives all `LLM`s basic support for streaming.Streaming support defaults to returning an Iterator (or AsyncIterator in the case o... | langchain/docs/docs/modules/model_io/llms/streaming_llm.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/llms/streaming_llm.ipynb",
"repo_id": "langchain",
"token_count": 564
} | 192 |
# coding=utf-8
# Copyright 2024 The Fairseq Authors 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/... | transformers/src/transformers/models/wav2vec2_bert/configuration_wav2vec2_bert.py/0 | {
"file_path": "transformers/src/transformers/models/wav2vec2_bert/configuration_wav2vec2_bert.py",
"repo_id": "transformers",
"token_count": 7140
} | 739 |
python_test_utils(
name="test_utils",
)
python_tests(
name="tests",
skip_tests=True,
dependencies=[
"!!llama-index-core:poetry",
"!!llama-index-core/pyproject.toml:poetry",
"!!llama-index-core:poetry#PyYAML",
"!!llama-index-integrations/callbacks/llama-index-callbacks-ho... | llama_index/llama-index-legacy/tests/indices/vector_store/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/vector_store/BUILD",
"repo_id": "llama_index",
"token_count": 3663
} | 1,740 |
[package]
name = "candle-wasm-example-t5"
version.workspace = true
edition.workspace = true
description.workspace = true
repository.workspace = true
keywords.workspace = true
categories.workspace = true
license.workspace = true
[dependencies]
candle = { workspace = true }
candle-nn = { workspace = true }
candle-transf... | candle/candle-wasm-examples/t5/Cargo.toml/0 | {
"file_path": "candle/candle-wasm-examples/t5/Cargo.toml",
"repo_id": "candle",
"token_count": 305
} | 83 |
---
sidebar_position: 3
---
# Choosing between multiple tools
In the tools [Quickstart](/docs/use_cases/tool_use/quickstart) we went over how to build a Chain that calls a single `multiply` tool.
Now let’s take a look at how we might augment this chain so that it can pick from a number of tools to call.
We’ll focus o... | langchainjs/docs/core_docs/docs/use_cases/tool_use/multiple_tools.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/tool_use/multiple_tools.mdx",
"repo_id": "langchainjs",
"token_count": 1740
} | 826 |
import time
from functools import partial
from typing import Callable, List, Optional, Tuple
import pandas as pd
from llama_index.core import SimpleDirectoryReader
from llama_index.core.base.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
from llama_index.embeddings import OpenAIEmbedding, ... | llama_index/benchmarks/embeddings/bench_embeddings.py/0 | {
"file_path": "llama_index/benchmarks/embeddings/bench_embeddings.py",
"repo_id": "llama_index",
"token_count": 2089
} | 1,052 |
// 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/Task.h/0 | {
"file_path": "milvus/internal/core/src/exec/Task.h",
"repo_id": "milvus",
"token_count": 2167
} | 1,748 |
// 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/mq/mqimpl/rocksmq/server/global_rmq.go/0 | {
"file_path": "milvus/internal/mq/mqimpl/rocksmq/server/global_rmq.go",
"repo_id": "milvus",
"token_count": 617
} | 1,867 |
{
"extends": "next/core-web-vitals"
}
| langchainjs/environment_tests/test-exports-vercel/.eslintrc.json/0 | {
"file_path": "langchainjs/environment_tests/test-exports-vercel/.eslintrc.json",
"repo_id": "langchainjs",
"token_count": 20
} | 834 |
# Drop Collection
`Milvus 2.0` uses `Collection` to represent a set of data, like `Table` in traditional database. Users can create or drop `Collection`.
This article introduces the execution path of `Drop Collection`. At the end of this article, you should know which components are involved in `Drop Collection`.
The... | milvus/docs/design_docs/20211115-milvus_drop_collection.md/0 | {
"file_path": "milvus/docs/design_docs/20211115-milvus_drop_collection.md",
"repo_id": "milvus",
"token_count": 2454
} | 1,733 |
# Created with `curl -Ls https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.5.0/components.yaml > build/config/metrics/metrics.yaml`
# And special patches noted below
apiVersion: v1
kind: ServiceAccount
metadata:
labels:
k8s-app: metrics-server
name: metrics-server
namespace: kube-system
-... | milvus/build/config/metrics/metrics.yaml/0 | {
"file_path": "milvus/build/config/metrics/metrics.yaml",
"repo_id": "milvus",
"token_count": 1859
} | 1,833 |
"""(Unofficial) Google Keep reader using gkeepapi."""
import json
import os
from typing import Any, List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class GoogleKeepReader(BaseReader):
"""Google Keep reader.
Reads notes from Google Keep
"""
de... | llama_index/llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/keep/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/keep/base.py",
"repo_id": "llama_index",
"token_count": 1009
} | 1,378 |
<!--Copyright 2023 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_doc/fuyu.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/fuyu.md",
"repo_id": "transformers",
"token_count": 1655
} | 476 |
{# TEMPLATE VAR SETTINGS #}
{%- set url_root = pathto('', 1) %}
{%- if url_root == '#' %}{% set url_root = '' %}{% endif %}
{%- if not embedded and docstitle %}
{%- set titlesuffix = " — "|safe + docstitle|e %}
{%- else %}
{%- set titlesuffix = "" %}
{%- endif %}
{%- set lang_attr = 'en' %}
<!DOCTYPE html>
<... | langchain/docs/api_reference/themes/scikit-learn-modern/layout.html/0 | {
"file_path": "langchain/docs/api_reference/themes/scikit-learn-modern/layout.html",
"repo_id": "langchain",
"token_count": 2845
} | 86 |
// WARNING: THIS IS ONLY VALID ASSUMING THAT inp IS CONTIGUOUS!
// TODO: proper error reporting when ids are larger than v_size.
#include "cuda_utils.cuh"
#include<stdint.h>
template<typename T, typename I>
__device__ void index_select(
const size_t numel,
const size_t num_dims,
const size_t *info,
con... | candle/candle-kernels/src/indexing.cu/0 | {
"file_path": "candle/candle-kernels/src/indexing.cu",
"repo_id": "candle",
"token_count": 4314
} | 59 |
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