text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from langchain_core.embeddings import Embeddings
__all__ = ["Embeddings"]
| langchain/libs/langchain/langchain/schema/embeddings.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/embeddings.py",
"repo_id": "langchain",
"token_count": 25
} | 589 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "chat_models/bedrock",
});
export * from "@langchain/community/chat_models/bedrock";
| langchainjs/langchain/src/chat_models/bedrock/index.ts/0 | {
"file_path": "langchainjs/langchain/src/chat_models/bedrock/index.ts",
"repo_id": "langchainjs",
"token_count": 75
} | 860 |
# coding=utf-8
# Copyright 2023 MetaAI 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/code_llama/tokenization_code_llama.py/0 | {
"file_path": "transformers/src/transformers/models/code_llama/tokenization_code_llama.py",
"repo_id": "transformers",
"token_count": 10023
} | 635 |
// 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/kv/tikv/txn_tikv.go/0 | {
"file_path": "milvus/internal/kv/tikv/txn_tikv.go",
"repo_id": "milvus",
"token_count": 9644
} | 1,724 |
# Chapter 1
| candle/candle-book/src/chapter_1.md/0 | {
"file_path": "candle/candle-book/src/chapter_1.md",
"repo_id": "candle",
"token_count": 4
} | 28 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/googlevertexai",
});
export * from "@langchain/community/vectorstores/googlevertexai";
| langchainjs/langchain/src/vectorstores/googlevertexai.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/googlevertexai.ts",
"repo_id": "langchainjs",
"token_count": 76
} | 950 |
pub const NAMES: [&str; 80] = [
"person",
"bicycle",
"car",
"motorbike",
"aeroplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
... | candle/candle-examples/src/coco_classes.rs/0 | {
"file_path": "candle/candle-examples/src/coco_classes.rs",
"repo_id": "candle",
"token_count": 648
} | 52 |
import { v4 as uuidv4 } from "uuid";
import { AgentAction, AgentFinish } from "../agents.js";
import type { ChainValues } from "../utils/types.js";
import { LLMResult } from "../outputs.js";
import {
BaseCallbackHandler,
CallbackHandlerMethods,
HandleLLMNewTokenCallbackFields,
NewTokenIndices,
} from "./base.js... | langchainjs/langchain-core/src/callbacks/manager.ts/0 | {
"file_path": "langchainjs/langchain-core/src/callbacks/manager.ts",
"repo_id": "langchainjs",
"token_count": 13611
} | 823 |
# Introduction [[introduction]]
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit9/thumbnail.png" alt="Unit 8"/>
In Unit 6, we learned about Advantage Actor Critic (A2C), a hybrid architecture combining value-based and policy-based methods that helps to stabilize ... | deep-rl-class/units/en/unit8/introduction.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit8/introduction.mdx",
"repo_id": "deep-rl-class",
"token_count": 533
} | 184 |
from langchain_community.llms.ctransformers import CTransformers
__all__ = ["CTransformers"]
| langchain/libs/langchain/langchain/llms/ctransformers.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/ctransformers.py",
"repo_id": "langchain",
"token_count": 29
} | 536 |
import json
import logging
from typing import Any, Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_community.tools.slack.base import SlackBaseTool
class SlackGetChannel(SlackBaseTool):
"""Tool that gets Slack channel information."""
name: str = "get_channelid_name_dic... | langchain/libs/community/langchain_community/tools/slack/get_channel.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/slack/get_channel.py",
"repo_id": "langchain",
"token_count": 502
} | 300 |
from typing import List, Optional, TypedDict
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class BasicAuth(TypedDict):
email: str
api_token: str
server_url: str
class Oauth2(TypedDict):
cloud_id: str
api_token: str
class JiraReader(BaseReade... | llama_index/llama-index-integrations/readers/llama-index-readers-jira/llama_index/readers/jira/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-jira/llama_index/readers/jira/base.py",
"repo_id": "llama_index",
"token_count": 2059
} | 1,320 |
import { browser } from "$app/environment";
export function cookiesAreEnabled(): boolean {
if (!browser) return false;
if (navigator.cookieEnabled) return navigator.cookieEnabled;
// Create cookie
document.cookie = "cookietest=1";
const ret = document.cookie.indexOf("cookietest=") != -1;
// Delete cookie
docum... | chat-ui/src/lib/utils/cookiesAreEnabled.ts/0 | {
"file_path": "chat-ui/src/lib/utils/cookiesAreEnabled.ts",
"repo_id": "chat-ui",
"token_count": 127
} | 104 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-multion/llama_index/tools/multion/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-multion/llama_index/tools/multion/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,429 |
"""Test the criteria eval chain."""
import pytest
from langchain.evaluation.criteria.eval_chain import (
_SUPPORTED_CRITERIA,
Criteria,
CriteriaEvalChain,
CriteriaResultOutputParser,
LabeledCriteriaEvalChain,
)
from langchain.evaluation.schema import StringEvaluator
from tests.unit_tests.llms.fak... | langchain/libs/langchain/tests/unit_tests/evaluation/criteria/test_eval_chain.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/evaluation/criteria/test_eval_chain.py",
"repo_id": "langchain",
"token_count": 1378
} | 629 |
<jupyter_start><jupyter_text>Function callingCertain chat models, like [OpenAI's](https://platform.openai.com/docs/guides/function-calling), have a function-calling API that lets you describe functions and their arguments, and have the model return a JSON object with a function to invoke and the inputs to that function... | langchain/docs/docs/modules/model_io/chat/function_calling.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/chat/function_calling.ipynb",
"repo_id": "langchain",
"token_count": 2545
} | 210 |
-- Create "notifications" table
CREATE TABLE "public"."notifications" (
"id" bigserial NOT NULL,
"collection_id" text NULL,
"type" text NULL,
"status" text NULL,
PRIMARY KEY ("id")
);
| chroma/go/coordinator/migrations/20231129183041.sql/0 | {
"file_path": "chroma/go/coordinator/migrations/20231129183041.sql",
"repo_id": "chroma",
"token_count": 67
} | 56 |
# (Tensorflow) Inception v3
**Inception v3** is a convolutional neural network architecture from the Inception family that makes several improvements including using [Label Smoothing](https://paperswithcode.com/method/label-smoothing), Factorized 7 x 7 convolutions, and the use of an [auxiliary classifer](https://pape... | pytorch-image-models/docs/models/tf-inception-v3.md/0 | {
"file_path": "pytorch-image-models/docs/models/tf-inception-v3.md",
"repo_id": "pytorch-image-models",
"token_count": 1953
} | 370 |
from langchain_community.tools.edenai.image_objectdetection import (
EdenAiObjectDetectionTool,
)
__all__ = ["EdenAiObjectDetectionTool"]
| langchain/libs/langchain/langchain/tools/edenai/image_objectdetection.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/edenai/image_objectdetection.py",
"repo_id": "langchain",
"token_count": 49
} | 575 |
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test, expect } from "@jest/globals";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { LlamaCppEmbeddings } from "../llama_cpp.js";
const llamaPath = getEnvironmentVariable("LLAMA_PATH")!;
test.skip("Test LlamaCppEmbedd... | langchainjs/libs/langchain-community/src/embeddings/tests/llama_cpp.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/embeddings/tests/llama_cpp.int.test.ts",
"repo_id": "langchainjs",
"token_count": 474
} | 982 |
# 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 applicabl... | transformers/tests/models/univnet/test_modeling_univnet.py/0 | {
"file_path": "transformers/tests/models/univnet/test_modeling_univnet.py",
"repo_id": "transformers",
"token_count": 6460
} | 818 |
# coding=utf-8
# Copyright 2024 Google AI and 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
#
#... | transformers/src/transformers/models/siglip/modeling_siglip.py/0 | {
"file_path": "transformers/src/transformers/models/siglip/modeling_siglip.py",
"repo_id": "transformers",
"token_count": 22965
} | 693 |
from __future__ import annotations
from enum import Enum, auto
from typing import Any, Callable, Dict, Iterator, List, Optional, Union
import google.api_core
import google.generativeai as genai # type: ignore[import]
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMR... | langchain/libs/partners/google-genai/langchain_google_genai/llms.py/0 | {
"file_path": "langchain/libs/partners/google-genai/langchain_google_genai/llms.py",
"repo_id": "langchain",
"token_count": 5594
} | 615 |
# coding=utf-8
# Copyright 2018 DPR Authors, The Hugging Face 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 a... | transformers/src/transformers/models/dpr/modeling_dpr.py/0 | {
"file_path": "transformers/src/transformers/models/dpr/modeling_dpr.py",
"repo_id": "transformers",
"token_count": 11490
} | 609 |
# 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/models/convbert/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/convbert/__init__.py",
"repo_id": "transformers",
"token_count": 1714
} | 583 |
# Q&A patterns
(Semantic-search)=
## Semantic Search
The most basic example usage of LlamaIndex is through semantic search. We provide a simple in-memory vector store for you to get started, but you can also choose to use any one of our [vector store integrations](/community/integrations/vector_stores.md):
```pytho... | llama_index/docs/understanding/putting_it_all_together/q_and_a.md/0 | {
"file_path": "llama_index/docs/understanding/putting_it_all_together/q_and_a.md",
"repo_id": "llama_index",
"token_count": 2780
} | 1,187 |
import type {
Pool,
RowDataPacket,
OkPacket,
ResultSetHeader,
FieldPacket,
PoolOptions,
} from "mysql2/promise";
import { format } from "mysql2";
import { createPool } from "mysql2/promise";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { VectorStore } from "@langchain/core/v... | langchainjs/libs/langchain-community/src/vectorstores/singlestore.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/singlestore.ts",
"repo_id": "langchainjs",
"token_count": 3240
} | 980 |
import logging
import time
import pytest
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, CheckTasks
from utils.util_k8s import (
get_pod_ip_n... | milvus/tests/python_client/bulk_insert/test_bulk_insert_task_clean.py/0 | {
"file_path": "milvus/tests/python_client/bulk_insert/test_bulk_insert_task_clean.py",
"repo_id": "milvus",
"token_count": 4297
} | 2,018 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-replicate/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-replicate/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,330 |
from __future__ import annotations
import sys
from typing import List
from langchain_core.tools import BaseTool
from langchain_community.agent_toolkits.base import BaseToolkit
from langchain_community.tools.azure_cognitive_services import (
AzureCogsFormRecognizerTool,
AzureCogsImageAnalysisTool,
AzureCo... | langchain/libs/community/langchain_community/agent_toolkits/azure_cognitive_services.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/azure_cognitive_services.py",
"repo_id": "langchain",
"token_count": 392
} | 208 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-zulip/llama_index/readers/zulip/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-zulip/llama_index/readers/zulip/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,481 |
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized, parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from sagemaker.huggingface imp... | transformers/tests/sagemaker/test_multi_node_data_parallel.py/0 | {
"file_path": "transformers/tests/sagemaker/test_multi_node_data_parallel.py",
"repo_id": "transformers",
"token_count": 1905
} | 802 |
# coding=utf-8
# 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 requir... | transformers/tests/models/imagegpt/test_modeling_imagegpt.py/0 | {
"file_path": "transformers/tests/models/imagegpt/test_modeling_imagegpt.py",
"repo_id": "transformers",
"token_count": 10627
} | 788 |
# Azure Translate Tool
This tool connects to a Azure account and allows an Agent to perform text translation into a variet of different languages
You will need to set up an api key and translate instance using Azure, learn more here: https://learn.microsoft.com/en-us/azure/ai-services/translator/translator-overview
... | llama_index/llama-index-integrations/tools/llama-index-tools-azure-translate/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-azure-translate/README.md",
"repo_id": "llama_index",
"token_count": 378
} | 1,415 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/llama_index/packs/auto_merging_retriever/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/llama_index/packs/auto_merging_retriever/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,774 |
from __future__ import annotations
import warnings
from typing import Any, Iterator, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel
def _chunk(texts: List[str], size: int) -> Iterator[List[str]]:
for i in range(0, len(texts), size):
yield... | langchain/libs/community/langchain_community/embeddings/mlflow_gateway.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/mlflow_gateway.py",
"repo_id": "langchain",
"token_count": 1108
} | 269 |
use serde::Deserialize;
#[derive(Deserialize)]
pub(crate) struct IngestConfig {
pub(crate) queue_size: usize,
}
| chroma/rust/worker/src/ingest/config.rs/0 | {
"file_path": "chroma/rust/worker/src/ingest/config.rs",
"repo_id": "chroma",
"token_count": 49
} | 60 |
// Copyright (C) 2019-2020 Zilliz. 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 l... | milvus/internal/core/unittest/test_offset_ordered_array.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_offset_ordered_array.cpp",
"repo_id": "milvus",
"token_count": 1507
} | 1,783 |
# Yahoo Finance Tool
This tool connects to Yahoo Finance and allows an Agent to access stock, news, and financial data of a company.
## Usage
Here's an example of how to use this tool:
```python
from llama_index.tools.yahoo_finance import YahooFinanceToolSpec
from llama_index.agent import OpenAIAgent
tool_spec = Y... | llama_index/llama-index-integrations/tools/llama-index-tools-yahoo-finance/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-yahoo-finance/README.md",
"repo_id": "llama_index",
"token_count": 326
} | 1,538 |
import logging
import os
import uuid
from langchain_core.documents import Document
from langchain_community.vectorstores.rocksetdb import Rockset
from tests.integration_tests.vectorstores.fake_embeddings import (
ConsistentFakeEmbeddings,
fake_texts,
)
logger = logging.getLogger(__name__)
# To run these te... | langchain/libs/community/tests/integration_tests/vectorstores/test_rocksetdb.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_rocksetdb.py",
"repo_id": "langchain",
"token_count": 2967
} | 387 |
"""Test Vertex AI embeddings API wrapper.
"""
from langchain_community.embeddings import VertexAIEmbeddings
def test_split_by_punctuation() -> None:
parts = VertexAIEmbeddings._split_by_punctuation(
"Hello, my friend!\nHow are you?\nI have 2 news:\n\n\t- Good,\n\t- Bad."
)
assert parts == [
... | langchain/libs/community/tests/unit_tests/embeddings/test_vertexai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/embeddings/test_vertexai.py",
"repo_id": "langchain",
"token_count": 788
} | 414 |
# coding=utf-8
# 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 requir... | transformers/tests/models/data2vec/test_modeling_data2vec_audio.py/0 | {
"file_path": "transformers/tests/models/data2vec/test_modeling_data2vec_audio.py",
"repo_id": "transformers",
"token_count": 13305
} | 755 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
python_sources(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-packs/llama-index-packs-vanna/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vanna/BUILD",
"repo_id": "llama_index",
"token_count": 73
} | 1,878 |
<!--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 applicable law or agreed... | transformers/docs/source/it/add_new_model.md/0 | {
"file_path": "transformers/docs/source/it/add_new_model.md",
"repo_id": "transformers",
"token_count": 17333
} | 506 |
import re
import warnings
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Mapping,
Optional,
)
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models import BaseLanguageModel
... | langchain/libs/community/langchain_community/llms/anthropic.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/anthropic.py",
"repo_id": "langchain",
"token_count": 5487
} | 277 |
# What are these scripts?
All scripts in this folder originate from the `nlp_example.py` file, as it is a very simplistic NLP training example using Accelerate with zero extra features.
From there, each further script adds in just **one** feature of Accelerate, showing how you can quickly modify your own scripts to i... | accelerate/examples/by_feature/README.md/0 | {
"file_path": "accelerate/examples/by_feature/README.md",
"repo_id": "accelerate",
"token_count": 1218
} | 5 |
from typing import Dict, Sequence
from llama_index.core.base.llms.types import ChatMessage, MessageRole
HUMAN_PREFIX = "\n\nHuman:"
ASSISTANT_PREFIX = "\n\nAssistant:"
CLAUDE_MODELS: Dict[str, int] = {
"claude-instant-1": 100000,
"claude-instant-1.2": 100000,
"claude-2": 100000,
"claude-2.0": 100000... | llama_index/llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-anthropic/llama_index/llms/anthropic/utils.py",
"repo_id": "llama_index",
"token_count": 713
} | 1,300 |
<!--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/tutorials/basic_training.md/0 | {
"file_path": "diffusers/docs/source/en/tutorials/basic_training.md",
"repo_id": "diffusers",
"token_count": 6186
} | 183 |
# Vector stores as tools
This notebook covers how to combine agents and vector stores. The use case for this is that you’ve ingested your data into a vector store and want to interact with it in an agentic manner.
The recommended method for doing so is to create a VectorDBQAChain and then use that as a tool in the ov... | langchainjs/docs/core_docs/docs/modules/agents/tools/how_to/agents_with_vectorstores.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/agents/tools/how_to/agents_with_vectorstores.mdx",
"repo_id": "langchainjs",
"token_count": 1016
} | 756 |
"""An agent designed to hold a conversation in addition to using tools."""
| langchain/libs/langchain/langchain/agents/conversational_chat/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/conversational_chat/__init__.py",
"repo_id": "langchain",
"token_count": 16
} | 466 |
import { PromptTemplate } from "@langchain/core/prompts";
import { LLMChain, LLMChainInput } from "../../chains/llm_chain.js";
/** Chain to execute tasks. */
export class TaskExecutionChain extends LLMChain {
static lc_name() {
return "TaskExecutionChain";
}
/**
* A static factory method that creates an ... | langchainjs/langchain/src/experimental/babyagi/task_execution.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/babyagi/task_execution.ts",
"repo_id": "langchainjs",
"token_count": 388
} | 935 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::Error as E;
use clap::{Parser, ValueEnum};
use candle::{DType, Tensor};
use candle_examples::token_output_stream::TokenOutputStream;
use candle_nn::VarBuilder;
use candle_transformers::models::... | candle/candle-examples/examples/trocr/main.rs/0 | {
"file_path": "candle/candle-examples/examples/trocr/main.rs",
"repo_id": "candle",
"token_count": 2160
} | 51 |
// 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/storage/unsafe.go/0 | {
"file_path": "milvus/internal/storage/unsafe.go",
"repo_id": "milvus",
"token_count": 600
} | 2,068 |
# SemaDB
>[SemaDB](https://semafind.com/) is a no fuss vector similarity search engine. It provides a low-cost cloud hosted version to help you build AI applications with ease.
With SemaDB Cloud, our hosted version, no fuss means no pod size calculations, no schema definitions, no partition settings, no parameter tun... | langchain/docs/docs/integrations/providers/semadb.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/semadb.mdx",
"repo_id": "langchain",
"token_count": 261
} | 156 |
from llama_index.core.evaluation.base import BaseEvaluator
from llama_index.evaluation.tonic_validate import (
AnswerConsistencyEvaluator,
AnswerConsistencyBinaryEvaluator,
AnswerSimilarityEvaluator,
AugmentationAccuracyEvaluator,
AugmentationPrecisionEvaluator,
RetrievalPrecisionEvaluator,
... | llama_index/llama-index-integrations/evaluation/llama-index-evaluation-tonic-validate/tests/test_evaluation_tonic_validate.py/0 | {
"file_path": "llama_index/llama-index-integrations/evaluation/llama-index-evaluation-tonic-validate/tests/test_evaluation_tonic_validate.py",
"repo_id": "llama_index",
"token_count": 555
} | 1,278 |
<jupyter_start><jupyter_text>Nomic EmbeddingsNomic has released a new embedding model with strong performance for long context retrieval (8k context window).The cookbook walks through the process of building and deploying (via LangServe) a RAG app using Nomic embeddings. SignupGet your API token, then run:```! nomic lo... | langchain/cookbook/nomic_embedding_rag.ipynb/0 | {
"file_path": "langchain/cookbook/nomic_embedding_rag.ipynb",
"repo_id": "langchain",
"token_count": 1229
} | 74 |
package syncmgr
import (
"context"
"github.com/cockroachdb/errors"
"github.com/samber/lo"
"go.uber.org/zap"
"github.com/milvus-io/milvus/internal/datanode/broker"
"github.com/milvus-io/milvus/internal/datanode/metacache"
"github.com/milvus-io/milvus/internal/proto/datapb"
"github.com/milvus-io/milvus/pkg/log... | milvus/internal/datanode/syncmgr/meta_writer.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/meta_writer.go",
"repo_id": "milvus",
"token_count": 3044
} | 1,978 |
from typing import List, Optional, Tuple, Union
import torch
from diffusers import DiffusionPipeline
from diffusers.configuration_utils import ConfigMixin
from diffusers.pipelines.pipeline_utils import ImagePipelineOutput
from diffusers.schedulers.scheduling_utils import SchedulerMixin
class IADBScheduler(Scheduler... | diffusers/examples/community/iadb.py/0 | {
"file_path": "diffusers/examples/community/iadb.py",
"repo_id": "diffusers",
"token_count": 2510
} | 186 |
## API
This generator creates TypeScript/JavaScript client that utilizes [Fetch API](https://fetch.spec.whatwg.org/). The generated Node module can be used in the following environments:
Environment
* Node.js
* Webpack
* Browserify
Language level
* ES5 - you must have a Promises/A+ library installed
* ES6
Module sy... | chroma/clients/js/src/generated/README.md/0 | {
"file_path": "chroma/clients/js/src/generated/README.md",
"repo_id": "chroma",
"token_count": 263
} | 35 |
"""Google sheets reader."""
import logging
import os
from typing import Any, List
import googleapiclient.discovery as discovery
from google_auth_oauthlib.flow import InstalledAppFlow
from llama_index.core.readers.base import BasePydanticReader
from llama_index.core.schema import Document
from google.auth.transport.r... | llama_index/llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/sheets/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/sheets/base.py",
"repo_id": "llama_index",
"token_count": 2250
} | 1,501 |
# 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/sew/test_modeling_sew.py/0 | {
"file_path": "transformers/tests/models/sew/test_modeling_sew.py",
"repo_id": "transformers",
"token_count": 10134
} | 770 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 3735,
"logprob": -12.9140625,
"text": "Test"
... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_mistral/test_flash_mistral_load.json",
"repo_id": "text-generation-inference",
"token_count": 4897
} | 421 |
# LlamaIndex Readers Integration: Obsidian
| llama_index/llama-index-integrations/readers/llama-index-readers-obsidian/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-obsidian/README.md",
"repo_id": "llama_index",
"token_count": 10
} | 1,393 |
<jupyter_start><jupyter_text>JSONThis notebook showcases an agent interacting with large `JSON/dict` objects. This is useful when you want to answer questions about a JSON blob that's too large to fit in the context window of an LLM. The agent is able to iteratively explore the blob to find what it needs to answer the ... | langchain/docs/docs/integrations/toolkits/json.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/toolkits/json.ipynb",
"repo_id": "langchain",
"token_count": 816
} | 178 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# Weaviate
Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering.
LangChain connects to Weaviate via the `weaviate-ts-client` package, the official ... | langchainjs/docs/core_docs/docs/integrations/vectorstores/weaviate.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/weaviate.mdx",
"repo_id": "langchainjs",
"token_count": 554
} | 798 |
from langchain_community.tools.ainetwork.rule import AINRuleOps, RuleSchema
__all__ = ["RuleSchema", "AINRuleOps"]
| langchain/libs/langchain/langchain/tools/ainetwork/rule.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/ainetwork/rule.py",
"repo_id": "langchain",
"token_count": 39
} | 544 |
<jupyter_start><jupyter_text>Beautiful Soup>[Beautiful Soup](https://www.crummy.com/software/BeautifulSoup/) is a Python package for parsing > HTML and XML documents (including having malformed markup, i.e. non-closed tags, so named after tag soup). > It creates a parse tree for parsed pages that can be used to extract... | langchain/docs/docs/integrations/document_transformers/beautiful_soup.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_transformers/beautiful_soup.ipynb",
"repo_id": "langchain",
"token_count": 429
} | 113 |
<jupyter_start><jupyter_text>Google ScholarThis notebook goes through how to use Google Scholar Tool<jupyter_code>%pip install --upgrade --quiet google-search-results
import os
from langchain_community.tools.google_scholar import GoogleScholarQueryRun
from langchain_community.utilities.google_scholar import GoogleSch... | langchain/docs/docs/integrations/tools/google_scholar.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/google_scholar.ipynb",
"repo_id": "langchain",
"token_count": 150
} | 174 |
# ruff: noqa: E501
# fmt: off
template = (
"""
Transform the narrative_input into an SQL expression. If you are
unsure, then do not guess, instead add a llm_error_msg that explains why you are unsure.
{format_instructions}
narrative_input: how much money will boris have?
# JSON:
{{
"narrative_i... | langchain/libs/experimental/langchain_experimental/cpal/templates/univariate/query.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/cpal/templates/univariate/query.py",
"repo_id": "langchain",
"token_count": 1814
} | 441 |
version: '3.9'
networks:
net:
driver: bridge
services:
server:
image: ghcr.io/chroma-core/chroma:latest
environment:
- IS_PERSISTENT=TRUE
volumes:
# Default configuration for persist_directory in chromadb/config.py
# Currently it's located in "/chroma/chroma/"
- chroma-data:... | chroma/docker-compose.server.example.yml/0 | {
"file_path": "chroma/docker-compose.server.example.yml",
"repo_id": "chroma",
"token_count": 186
} | 37 |
import { OpenAIEmbeddings } from "@langchain/openai";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { PromptTemplate, FewShotPromptTemplate } from "@langchain/core/prompts";
import { SemanticSimilarityExampleSelector } from "@langchain/core/example_selectors";
// Create a prompt template ... | langchainjs/examples/src/prompts/semantic_similarity_example_selector.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/semantic_similarity_example_selector.ts",
"repo_id": "langchainjs",
"token_count": 533
} | 909 |
# 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/LICENSE-2.0
#
# Unless r... | transformers/tests/models/depth_anything/test_modeling_depth_anything.py/0 | {
"file_path": "transformers/tests/models/depth_anything/test_modeling_depth_anything.py",
"repo_id": "transformers",
"token_count": 3846
} | 795 |
// 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/util/importutilv2/parquet/util.go/0 | {
"file_path": "milvus/internal/util/importutilv2/parquet/util.go",
"repo_id": "milvus",
"token_count": 2334
} | 2,077 |
# coding=utf-8
# 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 requir... | transformers/tests/models/electra/test_modeling_tf_electra.py/0 | {
"file_path": "transformers/tests/models/electra/test_modeling_tf_electra.py",
"repo_id": "transformers",
"token_count": 10994
} | 783 |
from langchain_core.output_parsers.list import (
CommaSeparatedListOutputParser,
ListOutputParser,
MarkdownListOutputParser,
NumberedListOutputParser,
)
__all__ = [
"ListOutputParser",
"CommaSeparatedListOutputParser",
"NumberedListOutputParser",
"MarkdownListOutputParser",
]
| langchain/libs/langchain/langchain/output_parsers/list.py/0 | {
"file_path": "langchain/libs/langchain/langchain/output_parsers/list.py",
"repo_id": "langchain",
"token_count": 113
} | 526 |
"""Query transform."""
import dataclasses
from abc import abstractmethod
from typing import Any, Dict, Optional, cast
from llama_index.core.base.query_pipeline.query import (
ChainableMixin,
InputKeys,
OutputKeys,
QueryComponent,
validate_and_convert_stringable,
)
from llama_index.core.base.respon... | llama_index/llama-index-core/llama_index/core/indices/query/query_transform/base.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/query/query_transform/base.py",
"repo_id": "llama_index",
"token_count": 5115
} | 1,220 |
import logging
from typing import Any, List, NamedTuple, Optional, Type
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.schema import BaseNode, MetadataMode, TextNode
from llama_index.legacy.vector_stores.types import (
BasePydanticVectorStore,
MetadataFilters,
VectorStor... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/lantern.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/lantern.py",
"repo_id": "llama_index",
"token_count": 10394
} | 1,623 |
fn main() -> Result<(), Box<dyn std::error::Error>> {
// Compile the protobuf files in the chromadb proto directory.
tonic_build::configure().compile(
&[
"../../idl/chromadb/proto/chroma.proto",
"../../idl/chromadb/proto/coordinator.proto",
],
&["../../idl/"],
... | chroma/rust/worker/build.rs/0 | {
"file_path": "chroma/rust/worker/build.rs",
"repo_id": "chroma",
"token_count": 547
} | 56 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/llama_index/packs/arize_phoenix_query_engine/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/llama_index/packs/arize_phoenix_query_engine/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,832 |
<jupyter_start><jupyter_text>Step-Back Prompting (Question-Answering)You can also run this notebook online [on Noteable.io](https://app.noteable.io/published/ff04b7ba-efaf-48d5-ba4d-b6bff0359ceb).One prompting technique called "Step-Back" prompting can improve performance on complex questions by first asking a "step ba... | langchainjs/cookbook/step_back.ipynb/0 | {
"file_path": "langchainjs/cookbook/step_back.ipynb",
"repo_id": "langchainjs",
"token_count": 1371
} | 719 |
search_performance_concurrents:
collections:
-
server:
cache_config.cpu_cache_capacity: 16
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
gpu_resource_config.cache_capacity: 4
gpu_resource_config.s... | milvus/tests/benchmark/milvus_benchmark/suites/qps.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/qps.yaml",
"repo_id": "milvus",
"token_count": 408
} | 1,945 |
---
sidebar_class_name: node-only
---
# Cassandra
:::tip Compatibility
Only available on Node.js.
:::
[Apache Cassandra®](https://cassandra.apache.org/_/index.html) is a NoSQL, row-oriented, highly scalable and highly available database.
The [latest version](<https://cwiki.apache.org/confluence/display/CASSANDRA/CE... | langchainjs/docs/core_docs/docs/integrations/vectorstores/cassandra.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/cassandra.mdx",
"repo_id": "langchainjs",
"token_count": 2816
} | 741 |
import { test, expect } from "@jest/globals";
import { GooglePaLMEmbeddings } from "../googlepalm.js";
import { HNSWLib } from "../../vectorstores/hnswlib.js";
test.skip("Test GooglePalmEmbeddings.embedQuery", async () => {
const embeddings = new GooglePaLMEmbeddings({
maxRetries: 1,
});
const res = await em... | langchainjs/libs/langchain-community/src/embeddings/tests/googlepalm.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/embeddings/tests/googlepalm.int.test.ts",
"repo_id": "langchainjs",
"token_count": 647
} | 941 |
import datetime
import pathlib
from langchain_community.chat_loaders import imessage, utils
def test_imessage_chat_loader_upgrade_osx11() -> None:
chat_path = (
pathlib.Path(__file__).parent / "data" / "imessage_chat_upgrade_osx_11.db"
)
loader = imessage.IMessageChatLoader(str(chat_path))
c... | langchain/libs/community/tests/unit_tests/chat_loaders/test_imessage.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/chat_loaders/test_imessage.py",
"repo_id": "langchain",
"token_count": 1092
} | 362 |
package httpserver
import (
"bytes"
"encoding/binary"
"encoding/json"
"fmt"
"math"
"reflect"
"strconv"
"strings"
"github.com/cockroachdb/errors"
"github.com/gin-gonic/gin"
"github.com/golang/protobuf/proto"
"github.com/spf13/cast"
"github.com/tidwall/gjson"
"go.uber.org/zap"
"github.com/milvus-io/milv... | milvus/internal/distributed/proxy/httpserver/utils.go/0 | {
"file_path": "milvus/internal/distributed/proxy/httpserver/utils.go",
"repo_id": "milvus",
"token_count": 14088
} | 1,851 |
# coding=utf-8
# Copyright 2022 The Metaseq 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/opt/configuration_opt.py/0 | {
"file_path": "transformers/src/transformers/models/opt/configuration_opt.py",
"repo_id": "transformers",
"token_count": 2762
} | 702 |
from llama_index.core.multi_modal_llms.base import MultiModalLLM
from llama_index.multi_modal_llms.gemini import GeminiMultiModal
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in GeminiMultiModal.__mro__]
assert MultiModalLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/tests/test_multi-modal-llms_gemini.py/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/tests/test_multi-modal-llms_gemini.py",
"repo_id": "llama_index",
"token_count": 109
} | 1,324 |
from llama_index.embeddings.text_embeddings_inference.base import (
TextEmbeddingsInference,
)
__all__ = ["TextEmbeddingsInference"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/llama_index/embeddings/text_embeddings_inference/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/llama_index/embeddings/text_embeddings_inference/__init__.py",
"repo_id": "llama_index",
"token_count": 50
} | 1,273 |
<jupyter_start><jupyter_code>import openai
openai.api_key = "sk-your-key"
from llama_index.agent import OpenAIAgent
from llama_index.tools import QueryEngineTool, ToolMetadata
# define query engine over paul graham's essay
from llama_index import SimpleDirectoryReader, VectorStoreIndex
import requests
# download paul... | llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/examples/text_to_image-pg.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/examples/text_to_image-pg.ipynb",
"repo_id": "llama_index",
"token_count": 1042
} | 1,458 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and 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 cop... | transformers/src/transformers/configuration_utils.py/0 | {
"file_path": "transformers/src/transformers/configuration_utils.py",
"repo_id": "transformers",
"token_count": 23255
} | 558 |
# NVIDIA
> [NVIDIA AI Foundation Endpoints](https://www.nvidia.com/en-us/ai-data-science/foundation-models/) give users easy access to NVIDIA hosted API endpoints for NVIDIA AI Foundation Models like Mixtral 8x7B, Llama 2, Stable Diffusion, etc. These models, hosted on the [NVIDIA NGC catalog](https://catalog.ngc.nvid... | langchain/docs/docs/integrations/providers/nvidia.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/nvidia.mdx",
"repo_id": "langchain",
"token_count": 650
} | 144 |
[
"../../langchain/src/load.ts",
"../../langchain/src/load/serializable.ts",
"../../langchain/src/agents/toolkits/connery.ts",
"../../langchain/src/tools/aws_lambda.ts",
"../../langchain/src/tools/aws_sfn.ts",
"../../langchain/src/tools/connery.ts",
"../../langchain/src/tools/gmail.ts",
"../../langchain... | langchainjs/docs/api_refs/blacklisted-entrypoints.json/0 | {
"file_path": "langchainjs/docs/api_refs/blacklisted-entrypoints.json",
"repo_id": "langchainjs",
"token_count": 2615
} | 711 |
<!--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/controlnet.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/controlnet.md",
"repo_id": "diffusers",
"token_count": 1146
} | 177 |
---
hide_table_of_contents: true
---
# Zep Memory
[Zep](https://github.com/getzep/zep) is a memory server that stores, summarizes, embeds, indexes, and enriches conversational AI chat histories, autonomous agent histories, document Q&A histories and exposes them via simple, low-latency APIs.
Key Features:
- Long-te... | langchainjs/docs/core_docs/docs/integrations/chat_memory/zep_memory.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat_memory/zep_memory.mdx",
"repo_id": "langchainjs",
"token_count": 380
} | 756 |
<jupyter_start><jupyter_text>Split codeCodeTextSplitter allows you to split your code with multiple languages supported. Import enum `Language` and specify the language.<jupyter_code>from langchain.text_splitter import (
Language,
RecursiveCharacterTextSplitter,
)
# Full list of supported languages
[e.value for... | langchain/docs/docs/modules/data_connection/document_transformers/code_splitter.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/document_transformers/code_splitter.ipynb",
"repo_id": "langchain",
"token_count": 2056
} | 191 |
# Copyright 2023-present 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 law or... | peft/src/peft/tuners/adalora/config.py/0 | {
"file_path": "peft/src/peft/tuners/adalora/config.py",
"repo_id": "peft",
"token_count": 860
} | 332 |
use std::sync::{Arc, RwLock};
use crate::utils::PyChar;
use crate::utils::PyPattern;
use pyo3::exceptions;
use pyo3::prelude::*;
use pyo3::types::*;
use serde::de::Error;
use serde::{Deserialize, Deserializer, Serialize, Serializer};
use tk::decoders::bpe::BPEDecoder;
use tk::decoders::byte_fallback::ByteFallback;
use... | tokenizers/bindings/python/src/decoders.rs/0 | {
"file_path": "tokenizers/bindings/python/src/decoders.rs",
"repo_id": "tokenizers",
"token_count": 9016
} | 444 |
# 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/tools/test_agent_types.py/0 | {
"file_path": "transformers/tests/tools/test_agent_types.py",
"repo_id": "transformers",
"token_count": 1583
} | 769 |
{
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"initial_scale_power": 16,
"hysteresis": 2,
"min_loss_scale": 1
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": "auto",
"weight_decay": "auto"... | accelerate/examples/deepspeed_config_templates/zero_stage3_config.json/0 | {
"file_path": "accelerate/examples/deepspeed_config_templates/zero_stage3_config.json",
"repo_id": "accelerate",
"token_count": 657
} | 6 |
# rag-google-cloud-vertexai-search
This template is an application that utilizes Google Vertex AI Search, a machine learning powered search service, and
PaLM 2 for Chat (chat-bison). The application uses a Retrieval chain to answer questions based on your documents.
For more context on building RAG applications with ... | langchain/templates/rag-google-cloud-vertexai-search/README.md/0 | {
"file_path": "langchain/templates/rag-google-cloud-vertexai-search/README.md",
"repo_id": "langchain",
"token_count": 991
} | 657 |
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