text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<jupyter_start><jupyter_text>Jupyter Notebook>[Jupyter Notebook](https://en.wikipedia.org/wiki/Project_JupyterApplications) (formerly `IPython Notebook`) is a web-based interactive computational environment for creating notebook documents.This notebook covers how to load data from a `Jupyter notebook (.html)` into a fo... | langchain/docs/docs/integrations/document_loaders/jupyter_notebook.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/jupyter_notebook.ipynb",
"repo_id": "langchain",
"token_count": 341
} | 105 |
// 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/indexnode/indexnode_service_test.go/0 | {
"file_path": "milvus/internal/indexnode/indexnode_service_test.go",
"repo_id": "milvus",
"token_count": 1331
} | 1,720 |
# coding=utf-8
# Copyright 2022 NVIDIA 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
#
# Un... | transformers/src/transformers/models/groupvit/modeling_groupvit.py/0 | {
"file_path": "transformers/src/transformers/models/groupvit/modeling_groupvit.py",
"repo_id": "transformers",
"token_count": 29453
} | 628 |
# Elasticsearch
> [Elasticsearch](https://www.elastic.co/elasticsearch/) is a distributed, RESTful search and analytics engine.
> It provides a distributed, multi-tenant-capable full-text search engine with an HTTP web interface and schema-free
> JSON documents.
## Installation and Setup
There are two ways to get st... | langchain/docs/docs/integrations/providers/elasticsearch.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/elasticsearch.mdx",
"repo_id": "langchain",
"token_count": 530
} | 132 |
from langchain_community.llms.ai21 import AI21, AI21PenaltyData
__all__ = ["AI21PenaltyData", "AI21"]
| langchain/libs/langchain/langchain/llms/ai21.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/ai21.py",
"repo_id": "langchain",
"token_count": 38
} | 509 |
# Vision Transformer (ViT)
The **Vision Transformer** is a model for image classification that employs a Transformer-like architecture over patches of the image. This includes the use of [Multi-Head Attention](https://paperswithcode.com/method/multi-head-attention), [Scaled Dot-Product Attention](https://paperswithcod... | pytorch-image-models/docs/models/.templates/models/vision-transformer.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/vision-transformer.md",
"repo_id": "pytorch-image-models",
"token_count": 3834
} | 350 |
from langchain_community.chat_message_histories.cassandra import (
CassandraChatMessageHistory,
)
__all__ = ["CassandraChatMessageHistory"]
| langchain/libs/langchain/langchain/memory/chat_message_histories/cassandra.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/cassandra.py",
"repo_id": "langchain",
"token_count": 43
} | 528 |
python_sources()
| llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-redis/llama_index/storage/docstore/redis/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-redis/llama_index/storage/docstore/redis/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,461 |
import {
InvokeEndpointCommand,
InvokeEndpointWithResponseStreamCommand,
SageMakerRuntimeClient,
SageMakerRuntimeClientConfig,
} from "@aws-sdk/client-sagemaker-runtime";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import { GenerationChunk } from "@langchain/core/outputs";
impo... | langchainjs/libs/langchain-community/src/llms/sagemaker_endpoint.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/llms/sagemaker_endpoint.ts",
"repo_id": "langchainjs",
"token_count": 2994
} | 1,027 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package datacoord
import (
context "context"
datapb "github.com/milvus-io/milvus/internal/proto/datapb"
mock "github.com/stretchr/testify/mock"
)
// NMockHandler is an autogenerated mock type for the Handler type
type NMockHandler struct {
mock.Mock
}
type NMo... | milvus/internal/datacoord/mock_handler.go/0 | {
"file_path": "milvus/internal/datacoord/mock_handler.go",
"repo_id": "milvus",
"token_count": 3236
} | 1,830 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.langchain import LangChainLLM
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in LangChainLLM.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-langchain/tests/test_llms_langchain.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-langchain/tests/test_llms_langchain.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,357 |
"""Interface with the LangChain Hub."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional
from langchain_core.load.dump import dumps
from langchain_core.load.load import loads
if TYPE_CHECKING:
from langchainhub import Client
def _get_client(api_url: Optional[str] = None, api_k... | langchain/libs/langchain/langchain/hub.py/0 | {
"file_path": "langchain/libs/langchain/langchain/hub.py",
"repo_id": "langchain",
"token_count": 1055
} | 533 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/speech_to_text/feature_extraction_speech_to_text.py/0 | {
"file_path": "transformers/src/transformers/models/speech_to_text/feature_extraction_speech_to_text.py",
"repo_id": "transformers",
"token_count": 5608
} | 660 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/checkers/index_checker.go/0 | {
"file_path": "milvus/internal/querycoordv2/checkers/index_checker.go",
"repo_id": "milvus",
"token_count": 2060
} | 1,839 |
""" Split BatchNorm
A PyTorch BatchNorm layer that splits input batch into N equal parts and passes each through
a separate BN layer. The first split is passed through the parent BN layers with weight/bias
keys the same as the original BN. All other splits pass through BN sub-layers under the '.aux_bn'
namespace.
Thi... | pytorch-image-models/timm/layers/split_batchnorm.py/0 | {
"file_path": "pytorch-image-models/timm/layers/split_batchnorm.py",
"repo_id": "pytorch-image-models",
"token_count": 1394
} | 348 |
package proxy
import (
"context"
"testing"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/mock"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg... | milvus/internal/proxy/task_insert_test.go/0 | {
"file_path": "milvus/internal/proxy/task_insert_test.go",
"repo_id": "milvus",
"token_count": 4189
} | 1,751 |
{
"langchain/schema/messages/AIMessage": "langchain_core/messages/ai/AIMessage",
"langchain/schema/messages/AIMessageChunk": "langchain_core/messages/ai/AIMessageChunk",
"langchain/schema/messages/BaseMessage": "langchain_core/messages/base/BaseMessage",
"langchain/schema/messages/BaseMessageChunk": "langchain_... | langchainjs/langchain/src/load/tests/data/important_imports.json/0 | {
"file_path": "langchainjs/langchain/src/load/tests/data/important_imports.json",
"repo_id": "langchainjs",
"token_count": 3236
} | 947 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.auto_merging_retriever import AutoMergingRetrieverPack
def test_class():
names_of_base_classes = [b.__name__ for b in AutoMergingRetrieverPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/tests/test_packs_auto_merging_retriever.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/tests/test_packs_auto_merging_retriever.py",
"repo_id": "llama_index",
"token_count": 107
} | 1,775 |
from langchain_community.retrievers.outline import OutlineRetriever
__all__ = ["OutlineRetriever"]
| langchain/libs/langchain/langchain/retrievers/outline.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/outline.py",
"repo_id": "langchain",
"token_count": 32
} | 558 |
<jupyter_start><jupyter_text>ImagesThis covers how to load images such as `JPG` or `PNG` into a document format that we can use downstream. Using Unstructured<jupyter_code>%pip install --upgrade --quiet pdfminer
from langchain_community.document_loaders.image import UnstructuredImageLoader
loader = UnstructuredImageL... | langchain/docs/docs/integrations/document_loaders/image.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/image.ipynb",
"repo_id": "langchain",
"token_count": 238
} | 116 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 1024,
"logprob": -10.578125,
"text": "name"
... | text-generation-inference/integration-tests/models/__snapshots__/test_grammar_llama/test_flash_llama_grammar_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_grammar_llama/test_flash_llama_grammar_load.json",
"repo_id": "text-generation-inference",
"token_count": 6602
} | 396 |
from typing import List
import requests
from langchain_core.callbacks.manager import CallbackManagerForRetrieverRun
from langchain_core.documents.base import Document
from langchain_core.retrievers import BaseRetriever
class BreebsRetriever(BaseRetriever):
"""A retriever class for `Breebs`.
See https://www.... | langchain/libs/community/langchain_community/retrievers/breebs.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/breebs.py",
"repo_id": "langchain",
"token_count": 699
} | 285 |
from mongo_parent_document_retrieval.chain import chain
__all__ = ["chain"]
| langchain/templates/mongo-parent-document-retrieval/mongo_parent_document_retrieval/__init__.py/0 | {
"file_path": "langchain/templates/mongo-parent-document-retrieval/mongo_parent_document_retrieval/__init__.py",
"repo_id": "langchain",
"token_count": 25
} | 653 |
## Textual Inversion fine-tuning example
[Textual inversion](https://arxiv.org/abs/2208.01618) is a method to personalize text2image models like stable diffusion on your own images using just 3-5 examples.
The `textual_inversion.py` script shows how to implement the training procedure and adapt it for stable diffusion... | diffusers/examples/textual_inversion/README.md/0 | {
"file_path": "diffusers/examples/textual_inversion/README.md",
"repo_id": "diffusers",
"token_count": 1736
} | 201 |
from langchain_community.document_loaders.azure_blob_storage_file import (
AzureBlobStorageFileLoader,
)
__all__ = ["AzureBlobStorageFileLoader"]
| langchain/libs/langchain/langchain/document_loaders/azure_blob_storage_file.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/azure_blob_storage_file.py",
"repo_id": "langchain",
"token_count": 51
} | 509 |
<jupyter_start><jupyter_text>Rockset Vector StoreAs a real-time search and analytics database, Rockset uses indexing to deliver scalable and performant personalization, product search, semantic search, chatbot applications, and more.Since Rockset is purpose-built for real-time, you can build these responsive applicatio... | llama_index/docs/examples/vector_stores/RocksetIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/RocksetIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1898
} | 1,113 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dynamodb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dynamodb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,519 |
# CIP-10112023: Authorization
## Status
Current Status: `Under Discussion`
## **Motivation**
The motivation for introducing an authorization feature in Chroma is to address the lack of a proper authorization model that many users are struggling with, especially those who deploy production apps. Additionally, as Chr... | chroma/docs/cip/CIP-10112023_Authorization.md/0 | {
"file_path": "chroma/docs/cip/CIP-10112023_Authorization.md",
"repo_id": "chroma",
"token_count": 3243
} | 38 |
# 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/examples/legacy/multiple_choice/utils_multiple_choice.py/0 | {
"file_path": "transformers/examples/legacy/multiple_choice/utils_multiple_choice.py",
"repo_id": "transformers",
"token_count": 10031
} | 543 |
import { test, expect } from "@jest/globals";
import "@tensorflow/tfjs-backend-cpu";
import { TensorFlowEmbeddings } from "../tensorflow.js";
import { HNSWLib } from "../../vectorstores/hnswlib.js";
test("TensorflowEmbeddings", async () => {
const embeddings = new TensorFlowEmbeddings();
const texts = [
"Hell... | langchainjs/libs/langchain-community/src/embeddings/tests/tensorflow.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/embeddings/tests/tensorflow.int.test.ts",
"repo_id": "langchainjs",
"token_count": 382
} | 954 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | peft/docs/source/developer_guides/lora.md/0 | {
"file_path": "peft/docs/source/developer_guides/lora.md",
"repo_id": "peft",
"token_count": 2633
} | 320 |
"""**Document Transformers** are classes to transform Documents.
**Document Transformers** usually used to transform a lot of Documents in a single run.
**Class hierarchy:**
.. code-block::
BaseDocumentTransformer --> <name> # Examples: DoctranQATransformer, DoctranTextTranslator
**Main helpers:**
.. code-bl... | langchain/libs/community/langchain_community/document_transformers/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_transformers/__init__.py",
"repo_id": "langchain",
"token_count": 604
} | 253 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-localai/llama_index/llms/localai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-localai/llama_index/llms/localai/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,266 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: test-minio-pod-failure
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
release: milvus-chaos
app: minio
mode: fixed
value: "1"
action: pod-failure
duration: 2m
gracePeriod: ... | milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_minio_pod_failure.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_minio_pod_failure.yaml",
"repo_id": "milvus",
"token_count": 133
} | 1,965 |
package indexparamcheck
type binFlatChecker struct {
binaryVectorBaseChecker
}
func (c binFlatChecker) CheckTrain(params map[string]string) error {
return c.binaryVectorBaseChecker.CheckTrain(params)
}
func (c binFlatChecker) StaticCheck(params map[string]string) error {
return c.staticCheck(params)
}
func newBi... | milvus/pkg/util/indexparamcheck/bin_flat_checker.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/bin_flat_checker.go",
"repo_id": "milvus",
"token_count": 128
} | 1,829 |
import pytest
@pytest.fixture(scope="module")
def flash_llama_gptq_handle(launcher):
with launcher("huggingface/llama-7b-gptq", num_shard=2, quantize="gptq") as handle:
yield handle
@pytest.fixture(scope="module")
async def flash_llama_gptq(flash_llama_gptq_handle):
await flash_llama_gptq_handle.hea... | text-generation-inference/integration-tests/models/test_flash_llama_gptq.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_flash_llama_gptq.py",
"repo_id": "text-generation-inference",
"token_count": 723
} | 406 |
# coding=utf-8
# Copyright 2020 Google 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
#
# Unless required by... | transformers/src/transformers/models/pegasus/tokenization_pegasus.py/0 | {
"file_path": "transformers/src/transformers/models/pegasus/tokenization_pegasus.py",
"repo_id": "transformers",
"token_count": 5716
} | 726 |
import { ChatOpenAI } from "@langchain/openai";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { HttpResponseOutputParser } from "langchain/output_parsers";
const TEMPLATE = `You are a pirate named Patchy. All responses must be extremely verbose and in pirate dialect.
{input}`;
const prompt = C... | langchainjs/examples/src/guides/deployment/streaming.ts/0 | {
"file_path": "langchainjs/examples/src/guides/deployment/streaming.ts",
"repo_id": "langchainjs",
"token_count": 222
} | 792 |
// 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/numpy/reader.go/0 | {
"file_path": "milvus/internal/util/importutilv2/numpy/reader.go",
"repo_id": "milvus",
"token_count": 1273
} | 2,021 |
{
"name": "test-exports-esbuild",
"version": "0.0.0",
"workspaces": [
"libs/*"
],
"private": true,
"description": "Tests for the things exported by the langchain package",
"main": "./index.mjs",
"type": "module",
"scripts": {
"build": "tsc",
"test": "yarn run test:esm && yarn run test:cjs"... | langchainjs/environment_tests/test-exports-esbuild/package.json/0 | {
"file_path": "langchainjs/environment_tests/test-exports-esbuild/package.json",
"repo_id": "langchainjs",
"token_count": 576
} | 832 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/utils/notification_service_doc_tests.py/0 | {
"file_path": "transformers/utils/notification_service_doc_tests.py",
"repo_id": "transformers",
"token_count": 6457
} | 767 |
from langchain_community.callbacks.whylabs_callback import (
WhyLabsCallbackHandler,
)
__all__ = ["WhyLabsCallbackHandler"]
| langchain/libs/langchain/langchain/callbacks/whylabs_callback.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/whylabs_callback.py",
"repo_id": "langchain",
"token_count": 42
} | 475 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
/* eslint-disable no-promise-executor-return */
import { test } from "@jest/globals";
import { Pinecone } from "@pinecone-database/pinecone";
import { Document } from "@langchain/core/documents";
import { OpenAIEmbeddings,... | langchainjs/langchain/src/retrievers/self_query/tests/pinecone_self_query.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/self_query/tests/pinecone_self_query.int.test.ts",
"repo_id": "langchainjs",
"token_count": 7973
} | 905 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/it/perf_infer_cpu.md/0 | {
"file_path": "transformers/docs/source/it/perf_infer_cpu.md",
"repo_id": "transformers",
"token_count": 1497
} | 520 |
# coding=utf-8
# Copyright 2023 The Espnet authors, IMS Toucan 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.... | transformers/src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py/0 | {
"file_path": "transformers/src/transformers/models/fastspeech2_conformer/modeling_fastspeech2_conformer.py",
"repo_id": "transformers",
"token_count": 33081
} | 687 |
/* eslint-disable */
/**
* Generated `api` utility.
*
* THIS CODE IS AUTOMATICALLY GENERATED.
*
* Generated by convex@1.3.1.
* To regenerate, run `npx convex dev`.
* @module
*/
import type {
ApiFromModules,
FilterApi,
FunctionReference,
} from "convex/server";
/**
* A utility for referencing Convex fun... | langchainjs/examples/src/embeddings/convex/_generated/api.d.ts/0 | {
"file_path": "langchainjs/examples/src/embeddings/convex/_generated/api.d.ts",
"repo_id": "langchainjs",
"token_count": 235
} | 788 |
"""Chain for applying self-critique using the SmartGPT workflow."""
from typing import Any, Dict, List, Optional, Tuple, Type
from langchain.base_language import BaseLanguageModel
from langchain.callbacks.manager import CallbackManagerForChainRun
from langchain.chains.base import Chain
from langchain.input import get_... | langchain/libs/experimental/langchain_experimental/smart_llm/base.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/smart_llm/base.py",
"repo_id": "langchain",
"token_count": 6150
} | 426 |
// 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/pkg/metrics/querynode_metrics.go/0 | {
"file_path": "milvus/pkg/metrics/querynode_metrics.go",
"repo_id": "milvus",
"token_count": 6511
} | 2,035 |
import pytest
from tokenizers import ByteLevelBPETokenizer
from ..utils import data_dir, multiprocessing_with_parallelism, roberta_files
class TestByteLevelBPE:
def test_basic_encode(self, roberta_files):
tokenizer = ByteLevelBPETokenizer.from_file(roberta_files["vocab"], roberta_files["merges"])
... | tokenizers/bindings/python/tests/implementations/test_byte_level_bpe.py/0 | {
"file_path": "tokenizers/bindings/python/tests/implementations/test_byte_level_bpe.py",
"repo_id": "tokenizers",
"token_count": 1658
} | 420 |
// 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/http/server_test.go/0 | {
"file_path": "milvus/internal/http/server_test.go",
"repo_id": "milvus",
"token_count": 3129
} | 1,802 |
use candle::{DType, Device, Tensor};
use candle_nn::VarBuilder;
use candle_transformers::generation::LogitsProcessor;
use candle_transformers::models::mixformer::{Config, MixFormerSequentialForCausalLM as MixFormer};
use candle_transformers::models::quantized_mixformer::MixFormerSequentialForCausalLM as QMixFormer;
use... | candle/candle-wasm-examples/phi/src/bin/m.rs/0 | {
"file_path": "candle/candle-wasm-examples/phi/src/bin/m.rs",
"repo_id": "candle",
"token_count": 2646
} | 84 |
from __future__ import annotations
import json
from typing import Optional, Type
import requests
import yaml
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.tools import BaseTool
class Ap... | langchain/libs/community/langchain_community/tools/plugin.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/plugin.py",
"repo_id": "langchain",
"token_count": 1208
} | 298 |
<script lang="ts">
import { navigating } from "$app/stores";
import { createEventDispatcher } from "svelte";
import { browser } from "$app/environment";
import { base } from "$app/paths";
import { page } from "$app/stores";
import CarbonClose from "~icons/carbon/close";
import CarbonTextAlignJustify from "~icon... | chat-ui/src/lib/components/MobileNav.svelte/0 | {
"file_path": "chat-ui/src/lib/components/MobileNav.svelte",
"repo_id": "chat-ui",
"token_count": 692
} | 91 |
"""Fake Chat Model wrapper for testing purposes."""
import re
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, cast
from langchain_core.language_models.chat_models import BaseChatModel, SimpleChatModel
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
BaseMessage,
)
fro... | langchain/libs/langchain/tests/unit_tests/llms/fake_chat_model.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/llms/fake_chat_model.py",
"repo_id": "langchain",
"token_count": 3719
} | 625 |
# coding=utf-8
# Copyright 2020 Microsoft 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
#
# Unless required... | transformers/src/transformers/models/deberta/tokenization_deberta.py/0 | {
"file_path": "transformers/src/transformers/models/deberta/tokenization_deberta.py",
"repo_id": "transformers",
"token_count": 8267
} | 642 |
from langchain_community.document_loaders.imsdb import IMSDbLoader
__all__ = ["IMSDbLoader"]
| langchain/libs/langchain/langchain/document_loaders/imsdb.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/imsdb.py",
"repo_id": "langchain",
"token_count": 31
} | 492 |
from dataclasses import dataclass
from typing import List, Union
import numpy as np
import PIL.Image
from ...utils import BaseOutput, is_flax_available
@dataclass
class StableDiffusionXLPipelineOutput(BaseOutput):
"""
Output class for Stable Diffusion pipelines.
Args:
images (`List[PIL.Image.Im... | diffusers/src/diffusers/pipelines/stable_diffusion_xl/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_xl/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 401
} | 265 |
import torch
from transformers import PreTrainedModel
from .custom_configuration import CustomConfig, NoSuperInitConfig
class CustomModel(PreTrainedModel):
config_class = CustomConfig
def __init__(self, config):
super().__init__(config)
self.linear = torch.nn.Linear(config.hidden_size, conf... | transformers/utils/test_module/custom_modeling.py/0 | {
"file_path": "transformers/utils/test_module/custom_modeling.py",
"repo_id": "transformers",
"token_count": 289
} | 848 |
// import { promisify } from 'util'
import { BPE, Tokenizer, mergeEncodings, slice } from '../../'
describe('slice', () => {
const text = 'My name is John 👋'
const sliceText = slice.bind({}, text)
it('returns the full text when no params', () => {
const sliced = sliceText()
expect(sliced).toEqual(text... | tokenizers/bindings/node/lib/bindings/utils.test.ts/0 | {
"file_path": "tokenizers/bindings/node/lib/bindings/utils.test.ts",
"repo_id": "tokenizers",
"token_count": 1866
} | 438 |
# 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/git/test_modeling_git.py/0 | {
"file_path": "transformers/tests/models/git/test_modeling_git.py",
"repo_id": "transformers",
"token_count": 9579
} | 786 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.... | datasets/metrics/code_eval/code_eval.py/0 | {
"file_path": "datasets/metrics/code_eval/code_eval.py",
"repo_id": "datasets",
"token_count": 3175
} | 127 |
# Sharing and Loading Models From the Hugging Face Hub
The `timm` library has a built-in integration with the Hugging Face Hub, making it easy to share and load models from the 🤗 Hub.
In this short guide, we'll see how to:
1. Share a `timm` model on the Hub
2. How to load that model back from the Hub
## Authent... | pytorch-image-models/hfdocs/source/hf_hub.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/hf_hub.mdx",
"repo_id": "pytorch-image-models",
"token_count": 594
} | 323 |
use crate::quantized_nn::{layer_norm, linear, Linear};
pub use crate::quantized_var_builder::VarBuilder;
use candle::{DType, Device, IndexOp, Module, Result, Tensor, D};
use candle_nn::Activation;
pub use crate::models::mixformer::Config;
const MAX_SEQ_LEN: usize = 4096;
#[derive(Debug, Clone)]
struct Embedding {
... | candle/candle-transformers/src/models/quantized_mixformer.rs/0 | {
"file_path": "candle/candle-transformers/src/models/quantized_mixformer.rs",
"repo_id": "candle",
"token_count": 5892
} | 75 |
# 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... | accelerate/src/accelerate/utils/bnb.py/0 | {
"file_path": "accelerate/src/accelerate/utils/bnb.py",
"repo_id": "accelerate",
"token_count": 8764
} | 12 |
# Builds GPU docker image of PyTorch
# Uses multi-staged approach to reduce size
# Stage 1
# Use base conda image to reduce time
FROM continuumio/miniconda3:latest AS compile-image
# Specify py version
ENV PYTHON_VERSION=3.8
# Install apt libs - copied from https://github.com/huggingface/accelerate/blob/main/docker/acc... | peft/docker/peft-gpu-bnb-latest/Dockerfile/0 | {
"file_path": "peft/docker/peft-gpu-bnb-latest/Dockerfile",
"repo_id": "peft",
"token_count": 816
} | 320 |
<jupyter_start><jupyter_text>Zilliz>[Zilliz Cloud](https://zilliz.com/doc/quick_start) is a fully managed service on cloud for `LF AI Milvus®`,This notebook shows how to use functionality related to the Zilliz Cloud managed vector database.To run, you should have a `Zilliz Cloud` instance up and running. Here are the [... | langchain/docs/docs/integrations/vectorstores/zilliz.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/zilliz.ipynb",
"repo_id": "langchain",
"token_count": 721
} | 188 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/te/quicktour.md/0 | {
"file_path": "transformers/docs/source/te/quicktour.md",
"repo_id": "transformers",
"token_count": 37552
} | 509 |
import subprocess
def test_hello_world():
subprocess.run(
"python examples/hello_world.py",
shell=True,
check=True,
)
| trl/tests/test_e2e.py/0 | {
"file_path": "trl/tests/test_e2e.py",
"repo_id": "trl",
"token_count": 69
} | 813 |
from typing import Union
from langchain_core.agents import AgentAction, AgentFinish
from langchain.agents import AgentOutputParser
class XMLAgentOutputParser(AgentOutputParser):
"""Parses tool invocations and final answers in XML format.
Expects output to be in one of two formats.
If the output signal... | langchain/libs/langchain/langchain/agents/output_parsers/xml.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/output_parsers/xml.py",
"repo_id": "langchain",
"token_count": 666
} | 444 |
import pytest
from typing import Generator, List, Callable, Iterator, Type, cast
from chromadb.config import System, Settings
from chromadb.test.conftest import ProducerFn
from chromadb.types import (
SubmitEmbeddingRecord,
VectorQuery,
Operation,
ScalarEncoding,
Segment,
SegmentScope,
SeqId... | chroma/chromadb/test/segment/test_vector.py/0 | {
"file_path": "chroma/chromadb/test/segment/test_vector.py",
"repo_id": "chroma",
"token_count": 8538
} | 26 |
/* eslint-disable import/no-extraneous-dependencies */
import fs from "fs";
import path from "path";
import { blue, green } from "picocolors";
export function isFolderEmpty(root: string, name: string): boolean {
const validFiles = [
".DS_Store",
".git",
".gitattributes",
".gitignore",
".gitlab-ci... | langchainjs/libs/create-langchain-integration/helpers/is-folder-empty.ts/0 | {
"file_path": "langchainjs/libs/create-langchain-integration/helpers/is-folder-empty.ts",
"repo_id": "langchainjs",
"token_count": 624
} | 985 |
<jupyter_start><jupyter_text>Metadata Extraction and Augmentation w/ MarvinThis notebook walks through using [`Marvin`](https://github.com/PrefectHQ/marvin) to extract and augment metadata from text. Marvin uses the LLM to identify and extract metadata. Metadata can be anything from additional and enhanced questions a... | llama_index/docs/examples/metadata_extraction/MarvinMetadataExtractorDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/metadata_extraction/MarvinMetadataExtractorDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1301
} | 1,072 |
import sys
from pymilvus import db
from utils.api_request import api_request
from check.func_check import ResponseChecker
class ApiDatabaseWrapper:
""" wrapper of database """
database = db
def create_database(self, db_name, using="default", timeout=None, check_task=None, check_items=None):
fun... | milvus/tests/python_client/base/database_wrapper.py/0 | {
"file_path": "milvus/tests/python_client/base/database_wrapper.py",
"repo_id": "milvus",
"token_count": 628
} | 1,881 |
# coding=utf-8
# Copyright 2024 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... | diffusers/tests/pipelines/pndm/test_pndm.py/0 | {
"file_path": "diffusers/tests/pipelines/pndm/test_pndm.py",
"repo_id": "diffusers",
"token_count": 1317
} | 272 |
import logging
from typing import Any, AsyncIterator, Iterator, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_models import (
BaseChatModel,
agenerate_from_stream,
generate_from_stream,
)
fro... | langchain/libs/community/langchain_community/chat_models/gigachat.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/gigachat.py",
"repo_id": "langchain",
"token_count": 2659
} | 220 |
# 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/models/controlnet.py/0 | {
"file_path": "diffusers/src/diffusers/models/controlnet.py",
"repo_id": "diffusers",
"token_count": 18788
} | 227 |
package segments
import (
"context"
"testing"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/proto/datapb"
"github.com/milvus-io/milvus/internal/proto/querypb"
storage "github.com/milvus-io/milvus/internal/storage"
"github.com/... | milvus/internal/querynodev2/segments/segment_test.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/segment_test.go",
"repo_id": "milvus",
"token_count": 1890
} | 1,778 |
from functools import wraps
from enum import Enum
from typing import Any, Callable, Dict, Optional, Sequence, Union
from opentelemetry import trace
from opentelemetry.sdk.resources import SERVICE_NAME, Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import (
BatchSpa... | chroma/chromadb/telemetry/opentelemetry/__init__.py/0 | {
"file_path": "chroma/chromadb/telemetry/opentelemetry/__init__.py",
"repo_id": "chroma",
"token_count": 2147
} | 18 |
/* eslint-disable import/first */
/* eslint-disable import/no-duplicates */
import { CheerioWebBaseLoader } from "langchain/document_loaders/web/cheerio";
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
const chatModel = new ChatOpenAI({});
const embeddings = new OpenAIEmbeddings({});
const loader ... | langchainjs/examples/src/get_started/quickstart2.ts/0 | {
"file_path": "langchainjs/examples/src/get_started/quickstart2.ts",
"repo_id": "langchainjs",
"token_count": 1144
} | 791 |
# Copyright 2024 Katherine Crowson 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
#
# Unless... | diffusers/src/diffusers/schedulers/scheduling_euler_discrete_flax.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_euler_discrete_flax.py",
"repo_id": "diffusers",
"token_count": 4573
} | 265 |
# Prompt templates
These are the templates used to format the conversation history for different models used in HuggingChat. Set them in your `.env.local` [like so](https://github.com/huggingface/chat-ui#chatprompttemplate).
## Llama 2
```env
<s>[INST] <<SYS>>\n{{preprompt}}\n<</SYS>>\n\n{{#each messages}}{{#ifUser}... | chat-ui/PROMPTS.md/0 | {
"file_path": "chat-ui/PROMPTS.md",
"repo_id": "chat-ui",
"token_count": 1012
} | 90 |
# 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/models/vq_model.py/0 | {
"file_path": "diffusers/src/diffusers/models/vq_model.py",
"repo_id": "diffusers",
"token_count": 3139
} | 240 |
// 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/SealedIndexingRecord.h/0 | {
"file_path": "milvus/internal/core/src/segcore/SealedIndexingRecord.h",
"repo_id": "milvus",
"token_count": 846
} | 1,883 |
# coding=utf-8
# Copyright 2022 Salesforce authors, The EleutherAI, and HuggingFace Teams. 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/l... | transformers/src/transformers/models/codegen/modeling_codegen.py/0 | {
"file_path": "transformers/src/transformers/models/codegen/modeling_codegen.py",
"repo_id": "transformers",
"token_count": 13901
} | 580 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/hubert/convert_hubert_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/hubert/convert_hubert_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4728
} | 629 |
Query Bundle
============
.. automodule:: llama_index.core.indices.query.schema
:members: QueryBundle
:inherited-members:
:exclude-members:
| llama_index/docs/api_reference/query/query_bundle.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/query_bundle.rst",
"repo_id": "llama_index",
"token_count": 54
} | 1,113 |
""" Next-ViT
As described in https://arxiv.org/abs/2207.05501
Next-ViT model defs and weights adapted from https://github.com/bytedance/Next-ViT, original copyright below
"""
# Copyright (c) ByteDance Inc. All rights reserved.
from functools import partial
import torch
import torch.nn.functional as F
from torch impo... | pytorch-image-models/timm/models/nextvit.py/0 | {
"file_path": "pytorch-image-models/timm/models/nextvit.py",
"repo_id": "pytorch-image-models",
"token_count": 12168
} | 366 |
"""Test Beam API wrapper."""
from langchain_community.llms.beam import Beam
def test_beam_call() -> None:
"""Test valid call to Beam."""
llm = Beam(
model_name="gpt2",
name="langchain-gpt2",
cpu=8,
memory="32Gi",
gpu="A10G",
python_version="python3.8",
... | langchain/libs/community/tests/integration_tests/llms/test_beam.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_beam.py",
"repo_id": "langchain",
"token_count": 348
} | 354 |
{
"extends": "next/core-web-vitals"
}
| langchain-template-supabase/.eslintrc.json/0 | {
"file_path": "langchain-template-supabase/.eslintrc.json",
"repo_id": "langchain-template-supabase",
"token_count": 20
} | 68 |
"""Azure CosmosDB MongoDB vCore Vector store index.
An index that is built on top of an existing vector store.
"""
import logging
import os
from typing import Any, Dict, List, Optional, cast
import pymongo
from llama_index.core.schema import BaseNode, MetadataMode, TextNode
from llama_index.core.vector_stores.types ... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/llama_index/vector_stores/azurecosmosmongo/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/llama_index/vector_stores/azurecosmosmongo/base.py",
"repo_id": "llama_index",
"token_count": 4232
} | 1,513 |
- sections:
- local: index
title: 🧨 Diffusers
- local: quicktour
title: 快速入门
- local: stable_diffusion
title: 有效和高效的扩散
- local: installation
title: 安装
title: 开始
| diffusers/docs/source/zh/_toctree.yml/0 | {
"file_path": "diffusers/docs/source/zh/_toctree.yml",
"repo_id": "diffusers",
"token_count": 100
} | 194 |
from __future__ import annotations
import json
import logging
from typing import (
TYPE_CHECKING,
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Optional,
)
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langcha... | langchain/libs/community/langchain_community/document_loaders/astradb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/astradb.py",
"repo_id": "langchain",
"token_count": 1598
} | 243 |
import { OpenAI } from "@langchain/openai";
export const run = async () => {
const modelA = new OpenAI();
// `call` is a simple string-in, string-out method for interacting with the model.
const resA = await modelA.call(
"What would be a good company name a company that makes colorful socks?"
);
console.... | langchainjs/examples/src/models/llm/llm.ts/0 | {
"file_path": "langchainjs/examples/src/models/llm/llm.ts",
"repo_id": "langchainjs",
"token_count": 871
} | 838 |
package indexparamcheck
import (
"fmt"
"strconv"
)
// scaNNChecker checks if a SCANN index can be built.
type scaNNChecker struct {
ivfBaseChecker
}
// CheckTrain checks if SCANN index can be built with the specific index parameters.
func (c *scaNNChecker) CheckTrain(params map[string]string) error {
if err := c... | milvus/pkg/util/indexparamcheck/scann_checker.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/scann_checker.go",
"repo_id": "milvus",
"token_count": 334
} | 1,940 |
type UUID = ReturnType<typeof crypto.randomUUID>;
export function randomUUID(): UUID {
// Only on old safari / ios
if (!("randomUUID" in crypto)) {
return "10000000-1000-4000-8000-100000000000".replace(/[018]/g, (c) =>
(
Number(c) ^
(crypto.getRandomValues(new Uint8Array(1))[0] & (15 >> (Number(c) / 4))... | chat-ui/src/lib/utils/randomUuid.ts/0 | {
"file_path": "chat-ui/src/lib/utils/randomUuid.ts",
"repo_id": "chat-ui",
"token_count": 166
} | 96 |
"""Init params."""
| llama_index/llama-index-core/tests/tools/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/tests/tools/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,159 |
<jupyter_start><jupyter_text>Test Vicuna* `Background`: https://python.langchain.com/en/latest/modules/models/llms/integrations/llamacpp.html* Reproduce the logic that happens in API of the `auto-evaluator`<jupyter_code>!pip install llama-cpp-python
import glob, os
from langchain.llms import LlamaCpp
from langchain.llm... | auto-evaluator/api/Test_Inference.ipynb/0 | {
"file_path": "auto-evaluator/api/Test_Inference.ipynb",
"repo_id": "auto-evaluator",
"token_count": 4090
} | 0 |
import {
ChatPromptTemplate,
MessagesPlaceholder,
} from "@langchain/core/prompts";
import { ChatOpenAI } from "@langchain/openai";
import Exa from "exa-js";
import { AgentExecutor, createOpenAIFunctionsAgent } from "langchain/agents";
import { createRetrieverTool } from "langchain/tools/retriever";
import { ExaRet... | langchainjs/examples/src/tools/exa_agent.ts/0 | {
"file_path": "langchainjs/examples/src/tools/exa_agent.ts",
"repo_id": "langchainjs",
"token_count": 469
} | 843 |
# SimpleDirectoryReader
`SimpleDirectoryReader` is the simplest way to load data from local files into LlamaIndex. For production use cases it's more likely that you'll want to use one of the many Readers available on [LlamaHub](https://llamalab.com/hub), but `SimpleDirectoryReader` is a great way to get started.
## ... | llama_index/docs/module_guides/loading/simpledirectoryreader.md/0 | {
"file_path": "llama_index/docs/module_guides/loading/simpledirectoryreader.md",
"repo_id": "llama_index",
"token_count": 1486
} | 1,102 |
<jupyter_start><jupyter_text>Knowledge Graph IndexThis tutorial gives a basic overview of how to use our `KnowledgeGraphIndex`, which handlesautomated knowledge graph construction from unstructured text as well as entity-based querying.If you would like to query knowledge graphs in more flexible ways, including pre-exi... | llama_index/docs/examples/index_structs/knowledge_graph/KnowledgeGraphDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/index_structs/knowledge_graph/KnowledgeGraphDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1454
} | 1,188 |
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