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# candle-quantized-llama: Fast Inference of quantized LLaMA models
This example provides a quantized LLaMA model similar to
[llama.cpp](https://github.com/ggerganov/llama.cpp). This is based on candle
built-in quantization methods. Supported features include:
- 2-bit, 3-bit, 4-bit, 5-bit, 6-bit and 8-bit integer quan... | candle/candle-examples/examples/quantized/README.md/0 | {
"file_path": "candle/candle-examples/examples/quantized/README.md",
"repo_id": "candle",
"token_count": 820
} | 53 |
"""Base interface for loading large language model APIs."""
import json
from pathlib import Path
from typing import Union
import yaml
from langchain_core.language_models.llms import BaseLLM
from langchain_community.llms import get_type_to_cls_dict
def load_llm_from_config(config: dict) -> BaseLLM:
"""Load LLM f... | langchain/libs/community/langchain_community/llms/loading.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/loading.py",
"repo_id": "langchain",
"token_count": 542
} | 269 |
//! A sequential layer used to chain multiple layers and closures.
use candle::{Module, Result, Tensor};
/// A sequential layer combining multiple other layers.
pub struct Sequential {
layers: Vec<Box<dyn Module>>,
}
/// Creates a new empty sequential layer.
pub fn seq() -> Sequential {
Sequential { layers: v... | candle/candle-nn/src/sequential.rs/0 | {
"file_path": "candle/candle-nn/src/sequential.rs",
"repo_id": "candle",
"token_count": 705
} | 58 |
<jupyter_start><jupyter_text>Time Series DatasetsThis notebook shows how to create a time series dataset from some csv file in order to then share it on the [🤗 hub](https://huggingface.co/docs/datasets/index). We will use the GluonTS library to read the csv into the appropriate format. We start by installing the libra... | notebooks/examples/time_series_datasets.ipynb/0 | {
"file_path": "notebooks/examples/time_series_datasets.ipynb",
"repo_id": "notebooks",
"token_count": 975
} | 309 |
package paramtable
type httpConfig struct {
Enabled ParamItem `refreshable:"false"`
DebugMode ParamItem `refreshable:"false"`
Port ParamItem `refreshable:"false"`
AcceptTypeAllowInt64 ParamItem `refreshable:"false"`
EnablePprof ParamItem `refreshable:"false"`
Requ... | milvus/pkg/util/paramtable/http_param.go/0 | {
"file_path": "milvus/pkg/util/paramtable/http_param.go",
"repo_id": "milvus",
"token_count": 755
} | 1,977 |
import json
import urllib.request
from typing import List, Optional
from langchain_core.documents import Document
from langchain_core.utils import get_from_env, stringify_dict
from langchain_community.document_loaders.base import BaseLoader
STRIPE_ENDPOINTS = {
"balance_transactions": "https://api.stripe.com/v1/... | langchain/libs/community/langchain_community/document_loaders/stripe.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/stripe.py",
"repo_id": "langchain",
"token_count": 738
} | 250 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 1724,
"logprob": -10.734375,
"text": "What"
... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_load.json",
"repo_id": "text-generation-inference",
"token_count": 5726
} | 384 |
[tool.poetry]
name = "summarize-anthropic"
version = "0.1.0"
description = "This template uses Anthropic's `Claude2` to summarize long documents."
authors = [
"Lance Martin <lance@langchain.dev>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
anthropic = ">=0.5.0"
lan... | langchain/templates/summarize-anthropic/pyproject.toml/0 | {
"file_path": "langchain/templates/summarize-anthropic/pyproject.toml",
"repo_id": "langchain",
"token_count": 291
} | 714 |
// 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_group_by.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_group_by.cpp",
"repo_id": "milvus",
"token_count": 12121
} | 1,952 |
export {
BaseMessagePromptTemplate,
type MessagesPlaceholderFields as MessagePlaceholderFields,
MessagesPlaceholder,
type MessageStringPromptTemplateFields,
BaseMessageStringPromptTemplate,
BaseChatPromptTemplate,
type ChatMessagePromptTemplateFields,
ChatMessagePromptTemplate,
HumanMessagePromptTempl... | langchainjs/langchain/src/prompts/chat.ts/0 | {
"file_path": "langchainjs/langchain/src/prompts/chat.ts",
"repo_id": "langchainjs",
"token_count": 178
} | 940 |
from typing import Any
from llama_index.core.base.llms.types import (
ChatMessage,
CompletionResponse,
CompletionResponseGen,
LLMMetadata,
)
from llama_index.core.llms.custom import CustomLLM
class TestLLM(CustomLLM):
__test__ = False
def __init__(self) -> None:
super().__init__(call... | llama_index/llama-index-core/tests/llms/test_custom.py/0 | {
"file_path": "llama_index/llama-index-core/tests/llms/test_custom.py",
"repo_id": "llama_index",
"token_count": 762
} | 1,193 |
use anyhow::Result;
use candle_core::{Device, IndexOp, Tensor};
#[test]
fn integer_index() -> Result<()> {
let dev = Device::Cpu;
let tensor = Tensor::arange(0u32, 2 * 3, &dev)?.reshape((2, 3))?;
let result = tensor.i(1)?;
assert_eq!(result.dims(), &[3]);
assert_eq!(result.to_vec1::<u32>()?, &[3, ... | candle/candle-core/tests/indexing_tests.rs/0 | {
"file_path": "candle/candle-core/tests/indexing_tests.rs",
"repo_id": "candle",
"token_count": 1994
} | 43 |
import { MouseEventHandler } from "react";
export function DefaultQuestion(props: {
question: string;
onMouseUp: MouseEventHandler;
}) {
return (
<div
onMouseUp={props.onMouseUp}
className="bg-stone-700 px-2 py-1 mx-2 rounded cursor-pointer justify-center text-stone-200 hover:bg-stone-500 mb-2"
... | weblangchain/nextjs/app/components/DefaultQuestion.tsx/0 | {
"file_path": "weblangchain/nextjs/app/components/DefaultQuestion.tsx",
"repo_id": "weblangchain",
"token_count": 146
} | 1,996 |
# coding=utf-8
# Copyright 2018 The Google Flax Team Authors and 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
... | transformers/src/transformers/models/auto/modeling_flax_auto.py/0 | {
"file_path": "transformers/src/transformers/models/auto/modeling_flax_auto.py",
"repo_id": "transformers",
"token_count": 6111
} | 570 |
<jupyter_start><jupyter_text>CerebriumAI`Cerebrium` is an AWS Sagemaker alternative. It also provides API access to [several LLM models](https://docs.cerebrium.ai/cerebrium/prebuilt-models/deployment).This notebook goes over how to use Langchain with [CerebriumAI](https://docs.cerebrium.ai/introduction). Install cereb... | langchain/docs/docs/integrations/llms/cerebriumai.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/cerebriumai.ipynb",
"repo_id": "langchain",
"token_count": 629
} | 127 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-experimental/BUILD/0 | {
"file_path": "llama_index/llama-index-experimental/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,172 |
import time
from typing import List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
from selenium import webdriver
from selenium.common.exceptions import WebDriverException
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_cond... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/whole_site/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/whole_site/base.py",
"repo_id": "llama_index",
"token_count": 2080
} | 1,394 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.spotify import SpotifyReader
def test_class():
names_of_base_classes = [b.__name__ for b in SpotifyReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-spotify/tests/test_readers_spotify.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-spotify/tests/test_readers_spotify.py",
"repo_id": "llama_index",
"token_count": 86
} | 1,528 |
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_default_index_from_documents.yaml/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_elasticsearch/TestElasticsearch.test_default_index_from_documents.yaml",
"repo_id": "langchain",
"token_count": 31680
} | 369 |
export * from "@langchain/core/utils/stream";
| langchainjs/langchain/src/util/stream.ts/0 | {
"file_path": "langchainjs/langchain/src/util/stream.ts",
"repo_id": "langchainjs",
"token_count": 14
} | 920 |
import os
from typing import Any, Callable, Dict, Optional, Sequence
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
LLMMetadata,
)
from llama_index.co... | llama_index/llama-index-integrations/llms/llama-index-llms-clarifai/llama_index/llms/clarifai/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-clarifai/llama_index/llms/clarifai/base.py",
"repo_id": "llama_index",
"token_count": 3265
} | 1,392 |
from llama_index.vector_stores.lantern.base import LanternVectorStore
__all__ = ["LanternVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/llama_index/vector_stores/lantern/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/llama_index/vector_stores/lantern/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,522 |
<jupyter_start><jupyter_text>CitationsHow can we get a model to cite which parts of the source documents it referenced in its response?To explore some techniques for extracting citations, let's first create a simple RAG chain. To start we'll just retrieve from Wikipedia using the [WikipediaRetriever](https://api.python... | langchain/docs/docs/use_cases/question_answering/citations.ipynb/0 | {
"file_path": "langchain/docs/docs/use_cases/question_answering/citations.ipynb",
"repo_id": "langchain",
"token_count": 4929
} | 213 |
<jupyter_start><jupyter_text>Self-checking chainThis notebook showcases how to use LLMCheckerChain.<jupyter_code>from langchain.chains import LLMCheckerChain
from langchain_openai import OpenAI
llm = OpenAI(temperature=0.7)
text = "What type of mammal lays the biggest eggs?"
checker_chain = LLMCheckerChain.from_llm(... | langchain/cookbook/llm_checker.ipynb/0 | {
"file_path": "langchain/cookbook/llm_checker.ipynb",
"repo_id": "langchain",
"token_count": 199
} | 78 |
"""Vector stores."""
from llama_index.legacy.vector_stores.astra import AstraDBVectorStore
from llama_index.legacy.vector_stores.awadb import AwaDBVectorStore
from llama_index.legacy.vector_stores.azureaisearch import (
AzureAISearchVectorStore,
CognitiveSearchVectorStore,
)
from llama_index.legacy.vector_stor... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/__init__.py",
"repo_id": "llama_index",
"token_count": 1529
} | 1,722 |
import { AutoGPT } from "langchain/experimental/autogpt";
import { ReadFileTool, WriteFileTool } from "langchain/tools";
import { NodeFileStore } from "langchain/stores/file/node";
import { HNSWLib } from "@langchain/community/vectorstores/hnswlib";
import { OpenAIEmbeddings, ChatOpenAI } from "@langchain/openai";
impo... | langchainjs/examples/src/experimental/autogpt/weather.ts/0 | {
"file_path": "langchainjs/examples/src/experimental/autogpt/weather.ts",
"repo_id": "langchainjs",
"token_count": 1178
} | 835 |
# coding=utf-8
# Copyright 2018 The OpenAI Team Authors and 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... | transformers/src/transformers/models/albert/modeling_tf_albert.py/0 | {
"file_path": "transformers/src/transformers/models/albert/modeling_tf_albert.py",
"repo_id": "transformers",
"token_count": 29581
} | 641 |
from langchain_community.document_loaders.s3_file import S3FileLoader
__all__ = ["S3FileLoader"]
| langchain/libs/langchain/langchain/document_loaders/s3_file.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/s3_file.py",
"repo_id": "langchain",
"token_count": 33
} | 493 |
<jupyter_start><jupyter_text>CSV parserThis output parser can be used when you want to return a list of comma-separated items.<jupyter_code>from langchain.output_parsers import CommaSeparatedListOutputParser
from langchain.prompts import PromptTemplate
from langchain_openai import ChatOpenAI
output_parser = CommaSepar... | langchain/docs/docs/modules/model_io/output_parsers/types/csv.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/output_parsers/types/csv.ipynb",
"repo_id": "langchain",
"token_count": 284
} | 207 |
python_sources()
| llama_index/llama-index-experimental/llama_index/experimental/param_tuner/BUILD/0 | {
"file_path": "llama_index/llama-index-experimental/llama_index/experimental/param_tuner/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,249 |
<jupyter_start><jupyter_text>Bedrock EmbeddingsIf you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-embeddings-bedrock
import os
from llama_index.embeddings.bedrock import BedrockEmbedding
embed_model = BedrockEmbedding.from_credentials(
a... | llama_index/docs/examples/embeddings/bedrock.ipynb/0 | {
"file_path": "llama_index/docs/examples/embeddings/bedrock.ipynb",
"repo_id": "llama_index",
"token_count": 949
} | 1,097 |
import os
import shutil
from overrides import override
import pickle
from typing import Dict, List, Optional, Sequence, Set, cast
from chromadb.config import System
from chromadb.segment.impl.vector.batch import Batch
from chromadb.segment.impl.vector.hnsw_params import PersistentHnswParams
from chromadb.segment.impl.v... | chroma/chromadb/segment/impl/vector/local_persistent_hnsw.py/0 | {
"file_path": "chroma/chromadb/segment/impl/vector/local_persistent_hnsw.py",
"repo_id": "chroma",
"token_count": 9232
} | 23 |
import CodeBlock from "@theme/CodeBlock";
import DebuggingExample from "@examples/models/llm/llm_debugging.ts";
# Subscribing to events
Especially when using an agent, there can be a lot of back-and-forth going on behind the scenes as a LLM processes a prompt. For agents, the response object contains an intermediateS... | langchainjs/docs/core_docs/docs/modules/model_io/llms/subscribing_events.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/llms/subscribing_events.mdx",
"repo_id": "langchainjs",
"token_count": 265
} | 762 |
"""Elasticsearch vector store."""
import asyncio
import uuid
from logging import getLogger
from typing import Any, Callable, Dict, List, Literal, Optional, Union, cast
import nest_asyncio
import numpy as np
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.schema import BaseNode, Met... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/elasticsearch.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/elasticsearch.py",
"repo_id": "llama_index",
"token_count": 10270
} | 1,653 |
from elasticsearch import Elasticsearch
# Setup Elasticsearch
# This shows how to set it up for a cloud hosted version
# Password for the 'elastic' user generated by Elasticsearch
ELASTIC_PASSWORD = "..."
# Found in the 'Manage Deployment' page
CLOUD_ID = "..."
# Create the client instance
db = Elasticsearch(cloud_... | langchain/templates/elastic-query-generator/ingest.py/0 | {
"file_path": "langchain/templates/elastic-query-generator/ingest.py",
"repo_id": "langchain",
"token_count": 257
} | 634 |
// 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/mq/mqimpl/rocksmq/client/test_helper.go/0 | {
"file_path": "milvus/internal/mq/mqimpl/rocksmq/client/test_helper.go",
"repo_id": "milvus",
"token_count": 690
} | 2,003 |
DB = 'test'
UNIQUE_ID_COLLECTION = 'unique_id'
DOC_COLLECTION = 'doc'
| milvus/tests/benchmark/milvus_benchmark/metrics/config.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/metrics/config.py",
"repo_id": "milvus",
"token_count": 32
} | 1,863 |
# Copyright 2021 AlQuraishi Laboratory
# Copyright 2021 DeepMind Technologies Limited
#
# 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
#
# U... | transformers/src/transformers/models/esm/openfold_utils/feats.py/0 | {
"file_path": "transformers/src/transformers/models/esm/openfold_utils/feats.py",
"repo_id": "transformers",
"token_count": 3763
} | 685 |
"""Arxiv API toolkit."""
| langchain/libs/community/langchain_community/tools/arxiv/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/arxiv/__init__.py",
"repo_id": "langchain",
"token_count": 10
} | 283 |
import { OpenAI } from "@langchain/openai";
const model = new OpenAI({ temperature: 1 });
const controller = new AbortController();
// Call `controller.abort()` somewhere to cancel the request.
const res = await model.call(
"What would be a good name for a company that makes colorful socks?",
{ signal: controlle... | langchainjs/examples/src/models/llm/llm_cancellation.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/llm_cancellation.ts",
"repo_id": "langchainjs",
"token_count": 116
} | 808 |
import time
import copy
import logging
import numpy as np
from milvus_benchmark import parser
from milvus_benchmark.runners import utils
from milvus_benchmark.runners.base import BaseRunner
logger = logging.getLogger("milvus_benchmark.runners.accuracy")
INSERT_INTERVAL = 50000
class AccuracyRunner(BaseRunner):
... | milvus/tests/benchmark/milvus_benchmark/runners/accuracy.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/runners/accuracy.py",
"repo_id": "milvus",
"token_count": 7527
} | 1,864 |
from langchain_community.utilities.dalle_image_generator import DallEAPIWrapper
__all__ = ["DallEAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/dalle_image_generator.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/dalle_image_generator.py",
"repo_id": "langchain",
"token_count": 38
} | 564 |
from langchain_community.chat_loaders.gmail import (
GMailLoader,
)
__all__ = ["GMailLoader"]
| langchain/libs/langchain/langchain/chat_loaders/gmail.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_loaders/gmail.py",
"repo_id": "langchain",
"token_count": 36
} | 471 |
#!/usr/bin/env python
# coding=utf-8
# 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/L... | transformers/src/transformers/tools/prompts.py/0 | {
"file_path": "transformers/src/transformers/tools/prompts.py",
"repo_id": "transformers",
"token_count": 541
} | 732 |
import collections.abc
import math
import re
from collections import defaultdict
from itertools import chain
from typing import Any, Callable, Dict, Iterator, Tuple, Type, Union
import torch
from torch import nn as nn
from torch.utils.checkpoint import checkpoint
__all__ = ['model_parameters', 'named_apply', 'named_m... | pytorch-image-models/timm/models/_manipulate.py/0 | {
"file_path": "pytorch-image-models/timm/models/_manipulate.py",
"repo_id": "pytorch-image-models",
"token_count": 4393
} | 373 |
python_sources()
| llama_index/llama-index-core/llama_index/core/vector_stores/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/vector_stores/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,145 |
#!/usr/bin/env python
# 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-... | transformers/examples/flax/question-answering/run_qa.py/0 | {
"file_path": "transformers/examples/flax/question-answering/run_qa.py",
"repo_id": "transformers",
"token_count": 20092
} | 541 |
// 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/src/segcore/ScalarIndex.h/0 | {
"file_path": "milvus/internal/core/src/segcore/ScalarIndex.h",
"repo_id": "milvus",
"token_count": 730
} | 1,935 |
import datetime
import json
from pathlib import Path
from typing import List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
def concatenate_rows(row: dict) -> str:
"""Combine message information in a readable format ready to be used.
Args:
... | langchain/libs/community/langchain_community/document_loaders/facebook_chat.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/facebook_chat.py",
"repo_id": "langchain",
"token_count": 500
} | 249 |
# Wide ResNet
**Wide Residual Networks** are a variant on [ResNets](https://paperswithcode.com/method/resnet) where we decrease depth and increase the width of residual networks. This is achieved through the use of [wide residual blocks](https://paperswithcode.com/method/wide-residual-block).
## How do I use this mod... | pytorch-image-models/docs/models/wide-resnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/wide-resnet.md",
"repo_id": "pytorch-image-models",
"token_count": 2032
} | 322 |
from numpy.core.fromnumeric import _partition_dispatcher
import pytest
import sys
from pymilvus import DefaultConfig
from base.database_wrapper import ApiDatabaseWrapper
sys.path.append("..")
from base.connections_wrapper import ApiConnectionsWrapper
from base.collection_wrapper import ApiCollectionWrapper
from base.... | milvus/tests/python_client/base/client_base.py/0 | {
"file_path": "milvus/tests/python_client/base/client_base.py",
"repo_id": "milvus",
"token_count": 9447
} | 1,961 |
from collections import defaultdict
from typing import Any, DefaultDict, Dict, List, Literal, Optional, Set
import nest_asyncio
from llama_index.core.callbacks.base_handler import BaseCallbackHandler
from llama_index.core.callbacks.schema import (
CBEvent,
CBEventType,
)
class UpTrainDataSchema:
"""UpTr... | llama_index/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/llama_index/callbacks/uptrain/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/llama_index/callbacks/uptrain/base.py",
"repo_id": "llama_index",
"token_count": 6405
} | 1,215 |
from llama_index.postprocessor.longllmlingua.base import LongLLMLinguaPostprocessor
__all__ = ["LongLLMLinguaPostprocessor"]
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/llama_index/postprocessor/longllmlingua/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/llama_index/postprocessor/longllmlingua/__init__.py",
"repo_id": "llama_index",
"token_count": 40
} | 1,352 |
import pRetry from "p-retry";
import {
CallbackManager,
CallbackManagerForChainRun,
} from "../callbacks/manager.js";
import {
LogStreamCallbackHandler,
LogStreamCallbackHandlerInput,
RunLog,
RunLogPatch,
StreamEvent,
StreamEventData,
} from "../tracers/log_stream.js";
import { Serializable } from "../... | langchainjs/langchain-core/src/runnables/base.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/base.ts",
"repo_id": "langchainjs",
"token_count": 30699
} | 867 |
"""Attempt to implement MRKL systems as described in arxiv.org/pdf/2205.00445.pdf."""
from __future__ import annotations
from typing import Any, Callable, List, NamedTuple, Optional, Sequence
from langchain_core._api import deprecated
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.langua... | langchain/libs/langchain/langchain/agents/mrkl/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/mrkl/base.py",
"repo_id": "langchain",
"token_count": 2507
} | 468 |
from langchain_community.document_loaders.unstructured import (
UnstructuredAPIFileIOLoader,
UnstructuredAPIFileLoader,
UnstructuredBaseLoader,
UnstructuredFileIOLoader,
UnstructuredFileLoader,
get_elements_from_api,
satisfies_min_unstructured_version,
validate_unstructured_version,
)
_... | langchain/libs/langchain/langchain/document_loaders/unstructured.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/unstructured.py",
"repo_id": "langchain",
"token_count": 237
} | 492 |
<!--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/concept_guides/training_tpu.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/training_tpu.md",
"repo_id": "accelerate",
"token_count": 2214
} | 2 |
"""Utils for jupyter notebook."""
import os
from io import BytesIO
from typing import Any, Dict, List, Tuple
import matplotlib.pyplot as plt
import requests
from IPython.display import Markdown, display
from llama_index.core.base.response.schema import Response
from llama_index.core.img_utils import b64_2_img
from lla... | llama_index/llama-index-core/llama_index/core/response/notebook_utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/response/notebook_utils.py",
"repo_id": "llama_index",
"token_count": 2140
} | 1,203 |
"""
Callback handler for storing generation data in OpenInference format.
OpenInference is an open standard for capturing and storing AI model inferences.
It enables production LLMapp servers to seamlessly integrate with LLM
observability solutions such as Arize and Phoenix.
For more information on the specification, ... | llama_index/llama-index-legacy/llama_index/legacy/callbacks/open_inference_callback.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/callbacks/open_inference_callback.py",
"repo_id": "llama_index",
"token_count": 3382
} | 1,554 |
import { test, expect } from "@jest/globals";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import { RecursiveCharacterTextSplitter } from "../../../text_splitter.js";
import { EmbeddingsFilter } from "../embeddings_filter.js";
import { DocumentCompressorPip... | langchainjs/langchain/src/retrievers/document_compressors/test/document_compressor.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/document_compressors/test/document_compressor.int.test.ts",
"repo_id": "langchainjs",
"token_count": 362
} | 942 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.slack import SlackToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in SlackToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-slack/tests/test_tools_slack.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-slack/tests/test_tools_slack.py",
"repo_id": "llama_index",
"token_count": 92
} | 1,582 |
from typing import Any, List, Optional
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.core.embeddings.base import (
DEFAULT_EMBED_BATCH_SIZE,
BaseEmbedding,
)
from llama_index.legacy.embeddings.huggingface_utils... | llama_index/llama-index-legacy/llama_index/legacy/embeddings/huggingface_optimum.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/embeddings/huggingface_optimum.py",
"repo_id": "llama_index",
"token_count": 3156
} | 1,650 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-waii/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-waii/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,534 |
# 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... | datasets/src/datasets/utils/_dill.py/0 | {
"file_path": "datasets/src/datasets/utils/_dill.py",
"repo_id": "datasets",
"token_count": 8380
} | 157 |
# Using Managed Indices
LlamaIndex offers multiple integration points with Managed Indices. A managed index is a special type of index that is not managed locally as part of LlamaIndex but instead is managed via an API, such as [Vectara](https://vectara.com).
## Using a Managed Index
Similar to any other index withi... | llama_index/docs/community/integrations/managed_indices.md/0 | {
"file_path": "llama_index/docs/community/integrations/managed_indices.md",
"repo_id": "llama_index",
"token_count": 1777
} | 1,120 |
<!--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 applicable law or agreed... | accelerate/docs/source/usage_guides/sagemaker.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/sagemaker.md",
"repo_id": "accelerate",
"token_count": 2261
} | 4 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.pdf_table import PDFTableReader
def test_class():
names_of_base_classes = [b.__name__ for b in PDFTableReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-pdf-table/tests/test_readers_pdf_table.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pdf-table/tests/test_readers_pdf_table.py",
"repo_id": "llama_index",
"token_count": 89
} | 1,361 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.ionic_shopping import IonicShoppingToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in IonicShoppingToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-ionic-shopping/tests/test_tools_ionic_shopping.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-ionic-shopping/tests/test_tools_ionic_shopping.py",
"repo_id": "llama_index",
"token_count": 100
} | 1,571 |
from typing import List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class GutenbergLoader(BaseLoader):
"""Load from `Gutenberg.org`."""
def __init__(self, file_path: str):
"""Initialize with a file path."""
if not file_path.... | langchain/libs/community/langchain_community/document_loaders/gutenberg.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/gutenberg.py",
"repo_id": "langchain",
"token_count": 356
} | 238 |
from llama_index.llms.ai21.base import AI21
__all__ = ["AI21"]
| llama_index/llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-ai21/llama_index/llms/ai21/__init__.py",
"repo_id": "llama_index",
"token_count": 27
} | 1,289 |
/* eslint-disable no-shadow */
export enum UrlDependency {
ConversationList = "conversation:list",
Conversation = "conversation",
}
| chat-ui/src/lib/types/UrlDependency.ts/0 | {
"file_path": "chat-ui/src/lib/types/UrlDependency.ts",
"repo_id": "chat-ui",
"token_count": 47
} | 94 |
from langchain_community.agent_toolkits.multion.toolkit import MultionToolkit
__all__ = ["MultionToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/multion/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/multion/toolkit.py",
"repo_id": "langchain",
"token_count": 35
} | 445 |
<jupyter_start><jupyter_text>Parent Document RetrieverWhen splitting documents for retrieval, there are often conflicting desires:1. You may want to have small documents, so that their embeddings can most accurately reflect their meaning. If too long, then the embeddings can lose meaning.2. You want to have long ... | langchain/docs/docs/modules/data_connection/retrievers/parent_document_retriever.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/retrievers/parent_document_retriever.ipynb",
"repo_id": "langchain",
"token_count": 1557
} | 187 |
python_sources()
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/postprocessor/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/postprocessor/BUILD",
"repo_id": "llama_index",
"token_count": 32
} | 1,645 |
from langchain_community.vectorstores.astradb import (
AstraDB,
)
__all__ = [
"AstraDB",
]
| langchain/libs/langchain/langchain/vectorstores/astradb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/astradb.py",
"repo_id": "langchain",
"token_count": 43
} | 600 |
<jupyter_start><jupyter_text>Time-Weighted RerankShowcase capabilities of time-weighted node postprocessor<jupyter_code>from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.core.postprocessor import TimeWeightedPostprocessor
from llama_index.core.node_parser import SentenceSplitter
from... | llama_index/docs/examples/node_postprocessor/TimeWeightedPostprocessorDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/node_postprocessor/TimeWeightedPostprocessorDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1549
} | 1,135 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/resnet/test_modeling_tf_resnet.py/0 | {
"file_path": "transformers/tests/models/resnet/test_modeling_tf_resnet.py",
"repo_id": "transformers",
"token_count": 3896
} | 836 |
import { ChatWindow } from "@/components/ChatWindow";
export default function AgentsPage() {
const InfoCard = (
<div className="p-4 md:p-8 rounded bg-[#25252d] w-full max-h-[85%] overflow-hidden">
<h1 className="text-3xl md:text-4xl mb-4">
▲ Next.js + LangChain.js Retrieval Chain 🦜🔗
</h1>
... | langchain-nextjs-template/app/retrieval/page.tsx/0 | {
"file_path": "langchain-nextjs-template/app/retrieval/page.tsx",
"repo_id": "langchain-nextjs-template",
"token_count": 1962
} | 69 |
import pytest as pytest
from langchain_community.utilities import ArxivAPIWrapper
@pytest.mark.requires("arxiv")
def test_is_arxiv_identifier() -> None:
"""Test that is_arxiv_identifier returns True for valid arxiv identifiers"""
api_client = ArxivAPIWrapper()
assert api_client.is_arxiv_identifier("1605.... | langchain/libs/community/tests/unit_tests/utilities/test_arxiv.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/utilities/test_arxiv.py",
"repo_id": "langchain",
"token_count": 301
} | 394 |
// 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/importutil/parquet_parser_test.go/0 | {
"file_path": "milvus/internal/util/importutil/parquet_parser_test.go",
"repo_id": "milvus",
"token_count": 18362
} | 1,804 |
#include <cstdint>
#include <cassert>
#include <boost/filesystem.hpp>
#include <iostream>
#include <random>
#include "tantivy-binding.h"
#include "tantivy-wrapper.h"
#include "time_recorder.h"
using namespace milvus::tantivy;
void
build_index(size_t n = 1000000) {
auto path = "/tmp/inverted-index/test-binding/";... | milvus/internal/core/thirdparty/tantivy/bench.cpp/0 | {
"file_path": "milvus/internal/core/thirdparty/tantivy/bench.cpp",
"repo_id": "milvus",
"token_count": 647
} | 1,812 |
import math
from typing import Optional, Union
import torch
from torch import nn
from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin
from ...models.attention import FeedForward
from ...models.attention_processor import Attention
from ...models.embeddings import Timestep... | diffusers/src/diffusers/pipelines/unidiffuser/modeling_uvit.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/unidiffuser/modeling_uvit.py",
"repo_id": "diffusers",
"token_count": 24180
} | 272 |
# 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/utils/release.py/0 | {
"file_path": "transformers/utils/release.py",
"repo_id": "transformers",
"token_count": 2931
} | 847 |
# Cohere
import CodeBlock from "@theme/CodeBlock";
LangChain.js supports Cohere LLMs. Here's an example:
You'll first need to install the [`@langchain/cohere`](https://www.npmjs.com/package/@langchain/cohere) package.
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<Integra... | langchainjs/docs/core_docs/docs/integrations/llms/cohere.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/cohere.mdx",
"repo_id": "langchainjs",
"token_count": 176
} | 730 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/deformable_detr/convert_deformable_detr_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/deformable_detr/convert_deformable_detr_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4058
} | 589 |
<jupyter_start><jupyter_text>Doctran: interrogate documentsDocuments used in a vector store knowledge base are typically stored in a narrative or conversational format. However, most user queries are in question format. If we **convert documents into Q&A format** before vectorizing them, we can increase the likelihood ... | langchain/docs/docs/integrations/document_transformers/doctran_interrogate_document.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_transformers/doctran_interrogate_document.ipynb",
"repo_id": "langchain",
"token_count": 1353
} | 122 |
# Neo4j
## Setup
Install the dependencies needed for Neo4j:
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationInstallTooltip></IntegrationInstallTooltip>
```bash npm2yarn
npm install @langchain/openai neo4j-driver @langchain/community
```
## Usage
This walkthrou... | langchainjs/docs/core_docs/docs/modules/data_connection/experimental/graph_databases/neo4j.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/data_connection/experimental/graph_databases/neo4j.mdx",
"repo_id": "langchainjs",
"token_count": 357
} | 809 |
"""Couchbase document loader."""
from typing import Any, Iterable, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class CouchbaseReader(BaseReader):
"""Couchbase document loader.
Loads data from a Couchbase cluster into Document used by Llam... | llama_index/llama-index-integrations/readers/llama-index-readers-couchbase/llama_index/readers/couchbase/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-couchbase/llama_index/readers/couchbase/base.py",
"repo_id": "llama_index",
"token_count": 1684
} | 1,388 |
export interface TracerSession {
// The ID of the tenant, or organization
tenant_id: string;
// The ID of the project (alias for session)
id: string;
// The start time of the project
start_time: number;
// The end time of the project
end_time?: number;
// A description of the project
description?: s... | langsmith-sdk/js/src/schemas.ts/0 | {
"file_path": "langsmith-sdk/js/src/schemas.ts",
"repo_id": "langsmith-sdk",
"token_count": 2493
} | 1,102 |
from __future__ import annotations
import base64
import json
import logging
import os
from io import BytesIO
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Mapping,
Optional,
Sequence,
Tuple,
Union,
cast,
)
from urllib.parse import urlparse
imp... | langchain/libs/partners/google-genai/langchain_google_genai/chat_models.py/0 | {
"file_path": "langchain/libs/partners/google-genai/langchain_google_genai/chat_models.py",
"repo_id": "langchain",
"token_count": 10357
} | 627 |
// 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/distributed/datanode/client/client_test.go/0 | {
"file_path": "milvus/internal/distributed/datanode/client/client_test.go",
"repo_id": "milvus",
"token_count": 1384
} | 1,707 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/program/llama-index-program-lmformatenforcer/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-lmformatenforcer/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,393 |
# 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 require... | transformers/examples/pytorch/question-answering/trainer_seq2seq_qa.py/0 | {
"file_path": "transformers/examples/pytorch/question-answering/trainer_seq2seq_qa.py",
"repo_id": "transformers",
"token_count": 3076
} | 515 |
from unittest.mock import MagicMock, patch
import pytest
from llama_index.legacy.llms import ChatMessage, MessageRole
from llama_index.legacy.llms.huggingface import HuggingFaceInferenceAPI
STUB_MODEL_NAME = "placeholder_model"
@pytest.fixture(name="hf_inference_api")
def fixture_hf_inference_api() -> HuggingFaceIn... | llama_index/llama-index-legacy/tests/llms/test_huggingface.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/llms/test_huggingface.py",
"repo_id": "llama_index",
"token_count": 2067
} | 1,626 |
import { CohereClient } from "cohere-ai";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
import { chunkArray } from "@langchain/core/utils/chunk_array";
/**
* Interface that extends EmbeddingsParams and defines additional... | langchainjs/libs/langchain-cohere/src/embeddings.ts/0 | {
"file_path": "langchainjs/libs/langchain-cohere/src/embeddings.ts",
"repo_id": "langchainjs",
"token_count": 1851
} | 946 |
use crate::{
chroma_proto,
errors::{ChromaError, ErrorCodes},
};
use std::collections::HashMap;
use thiserror::Error;
#[derive(Debug, PartialEq)]
pub(crate) enum UpdateMetadataValue {
Int(i32),
Float(f64),
Str(String),
None,
}
#[derive(Error, Debug)]
pub(crate) enum UpdateMetadataValueConversi... | chroma/rust/worker/src/types/metadata.rs/0 | {
"file_path": "chroma/rust/worker/src/types/metadata.rs",
"repo_id": "chroma",
"token_count": 3704
} | 59 |
<jupyter_start><jupyter_text>Recursive Retriever + Node ReferencesThis guide shows how you can use recursive retrieval to traverse node relationships and fetch nodes based on "references".Node references are a powerful concept. When you first perform retrieval, you may want to retrieve the reference as opposed to the r... | llama_index/docs/examples/retrievers/recursive_retriever_nodes.ipynb/0 | {
"file_path": "llama_index/docs/examples/retrievers/recursive_retriever_nodes.ipynb",
"repo_id": "llama_index",
"token_count": 4509
} | 1,107 |
import { AuthOptions } from "./auth";
import { IEmbeddingFunction } from "./embeddings/IEmbeddingFunction";
export enum IncludeEnum {
Documents = 'documents',
Embeddings = 'embeddings',
Metadatas = 'metadatas',
Distances = 'distances'
}
type Number = number;
export type Embedding = Array<Number>;
export type ... | chroma/clients/js/src/types.ts/0 | {
"file_path": "chroma/clients/js/src/types.ts",
"repo_id": "chroma",
"token_count": 1169
} | 30 |
FROM rocm/dev-ubuntu-20.04:5.6
# rocm/pytorch has no version with 2.1.0
LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
ARG PYTORCH='2.1.0'
ARG TORCH_VISION='0.16.0'
ARG TORCH_AUDIO='2.1.0'
ARG ROCM='5.6'
RUN apt update && \
apt install -y --no-install-recommends git libsndfile1-dev tesseract-... | transformers/docker/transformers-pytorch-amd-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-pytorch-amd-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 516
} | 444 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion.py",
"repo_id": "diffusers",
"token_count": 14315
} | 250 |
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