text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
// 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/rootcoord/create_partition_task.go/0 | {
"file_path": "milvus/internal/rootcoord/create_partition_task.go",
"repo_id": "milvus",
"token_count": 1553
} | 1,777 |
# Text to Image Tool
This tool allows Agents to use the OpenAI Image endpoint to generate and create variations of images.
## Usage
This tool has more extensive example usage documented in a Jupyter notebook [here](https://github.com/emptycrown/llama-hub/tree/main/llama_hub/tools/notebooks/text_to_image.ipynb)
Anot... | llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/README.md",
"repo_id": "llama_index",
"token_count": 416
} | 1,503 |
package grpccoordinator
import (
"context"
"github.com/chroma/chroma-coordinator/internal/common"
"github.com/chroma/chroma-coordinator/internal/model"
"github.com/chroma/chroma-coordinator/internal/proto/coordinatorpb"
"github.com/chroma/chroma-coordinator/internal/types"
"github.com/pingcap/log"
"go.uber.org... | chroma/go/coordinator/internal/grpccoordinator/segment_service.go/0 | {
"file_path": "chroma/go/coordinator/internal/grpccoordinator/segment_service.go",
"repo_id": "chroma",
"token_count": 1726
} | 47 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/deepspeed.py/0 | {
"file_path": "transformers/src/transformers/deepspeed.py",
"repo_id": "transformers",
"token_count": 432
} | 594 |
"""DashScope llm api."""
from http import HTTPStatus
from typing import Any, Dict, List, Optional, Sequence, Tuple
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResp... | llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/llama_index/multi_modal_llms/dashscope/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/llama_index/multi_modal_llms/dashscope/base.py",
"repo_id": "llama_index",
"token_count": 4444
} | 1,380 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-dad-jokes/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-dad-jokes/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,353 |
<jupyter_start><jupyter_text>Fine-tunining DeBERTa model on a question answering task with ORTTrainer In this notebook, we will see how to fine-tune the [DeBERTa base](https://huggingface.co/microsoft/deberta-base/tree/main) model to a question answering task, which is the task of extracting the answer to a question fr... | notebooks/examples/question_answering_ort.ipynb/0 | {
"file_path": "notebooks/examples/question_answering_ort.ipynb",
"repo_id": "notebooks",
"token_count": 10005
} | 312 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/storage/binlog_reader.go/0 | {
"file_path": "milvus/internal/storage/binlog_reader.go",
"repo_id": "milvus",
"token_count": 1139
} | 1,790 |
"""Test huggingface embeddings."""
from langchain_community.embeddings.huggingface import (
HuggingFaceEmbeddings,
HuggingFaceInstructEmbeddings,
)
def test_huggingface_embedding_documents() -> None:
"""Test huggingface embeddings."""
documents = ["foo bar"]
embedding = HuggingFaceEmbeddings()
... | langchain/libs/community/tests/integration_tests/embeddings/test_huggingface.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_huggingface.py",
"repo_id": "langchain",
"token_count": 683
} | 350 |
# Script for verifying that run_bart_sum can be invoked from its directory
# Get tiny dataset with cnn_dm format (4 examples for train, val, test)
wget https://cdn-datasets.huggingface.co/summarization/cnn_tiny.tgz
tar -xzvf cnn_tiny.tgz
rm cnn_tiny.tgz
export OUTPUT_DIR_NAME=bart_utest_output
export CURRENT_DIR=${PW... | transformers/examples/research_projects/seq2seq-distillation/finetune_bart_tiny.sh/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/finetune_bart_tiny.sh",
"repo_id": "transformers",
"token_count": 333
} | 589 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/mvp/test_tokenization_mvp.py/0 | {
"file_path": "transformers/tests/models/mvp/test_tokenization_mvp.py",
"repo_id": "transformers",
"token_count": 3682
} | 801 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-joplin/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-joplin/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,512 |
import json
from typing import Any, Callable, Dict, Optional, Sequence
import httpx
import requests
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
CompletionResponseAsyncGen,
CompletionResponseGen,
LLM... | llama_index/llama-index-integrations/llms/llama-index-llms-perplexity/llama_index/llms/perplexity/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-perplexity/llama_index/llms/perplexity/base.py",
"repo_id": "llama_index",
"token_count": 7227
} | 1,326 |
from llama_index.readers.chroma.base import ChromaReader
__all__ = ["ChromaReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-chroma/llama_index/readers/chroma/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-chroma/llama_index/readers/chroma/__init__.py",
"repo_id": "llama_index",
"token_count": 29
} | 1,347 |
import json
from argparse import ArgumentParser
from pathlib import Path
"""
This script converts Falcon custom code checkpoints to modern Falcon checkpoints that use code in the Transformers
library. After conversion, performance (especially for generation) should improve and the checkpoint can be loaded
without nee... | transformers/src/transformers/models/falcon/convert_custom_code_checkpoint.py/0 | {
"file_path": "transformers/src/transformers/models/falcon/convert_custom_code_checkpoint.py",
"repo_id": "transformers",
"token_count": 1171
} | 670 |
package httpserver
import (
"context"
"encoding/json"
"net/http"
"strconv"
"github.com/cockroachdb/errors"
"github.com/gin-gonic/gin"
"github.com/gin-gonic/gin/binding"
"github.com/golang/protobuf/proto"
"github.com/tidwall/gjson"
"go.uber.org/zap"
"google.golang.org/grpc"
"github.com/milvus-io/milvus-pr... | milvus/internal/distributed/proxy/httpserver/handler_v1.go/0 | {
"file_path": "milvus/internal/distributed/proxy/httpserver/handler_v1.go",
"repo_id": "milvus",
"token_count": 14923
} | 1,815 |
// 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/util/paramtable/service_param.go/0 | {
"file_path": "milvus/pkg/util/paramtable/service_param.go",
"repo_id": "milvus",
"token_count": 15255
} | 1,978 |
"""Test pinecone indexes."""
from typing import List
import pytest
from llama_index.legacy.indices.vector_store.base import VectorStoreIndex
from llama_index.legacy.schema import Document, TextNode
from llama_index.legacy.service_context import ServiceContext
from tests.indices.vector_store.utils import get_pinecone... | llama_index/llama-index-legacy/tests/indices/vector_store/test_pinecone.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/vector_store/test_pinecone.py",
"repo_id": "llama_index",
"token_count": 705
} | 1,623 |
package memberlist_manager
import (
"context"
"reflect"
"testing"
"time"
"github.com/chroma/chroma-coordinator/internal/utils"
"github.com/stretchr/testify/assert"
v1 "k8s.io/api/core/v1"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/apimachinery/pkg/runtime"
"k8s.io/client-go/dynamic/fake"
"k8s.io... | chroma/go/coordinator/internal/memberlist_manager/memberlist_manager_test.go/0 | {
"file_path": "chroma/go/coordinator/internal/memberlist_manager/memberlist_manager_test.go",
"repo_id": "chroma",
"token_count": 2304
} | 46 |
<jupyter_start><jupyter_text>Ontotext GraphDB QA ChainThis notebook shows how to use LLMs to provide natural language querying (NLQ to SPARQL, also called text2sparql) for [Ontotext GraphDB](https://graphdb.ontotext.com/). Ontotext GraphDB is a graph database and knowledge discovery tool compliant with [RDF](https://ww... | langchain/docs/docs/use_cases/graph/graph_ontotext_graphdb_qa.ipynb/0 | {
"file_path": "langchain/docs/docs/use_cases/graph/graph_ontotext_graphdb_qa.ipynb",
"repo_id": "langchain",
"token_count": 3095
} | 210 |
from pathlib import Path
from langchain_community.document_loaders.rss import RSSFeedLoader
def test_rss_loader() -> None:
loader = RSSFeedLoader(urls=["https://www.engadget.com/rss.xml"])
docs = loader.load()
assert docs[0] is not None
assert hasattr(docs[0], "page_content")
assert hasattr(docs... | langchain/libs/community/tests/integration_tests/document_loaders/test_rss.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_rss.py",
"repo_id": "langchain",
"token_count": 431
} | 327 |
[tool.poetry]
name = "cassandra-synonym-caching"
version = "0.0.1"
description = "LLM caching backed by Apache Cassandra® or Astra DB"
authors = [
"Stefano Lottini <stefano.lottini@datastax.com>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
tiktoken = ... | langchain/templates/cassandra-synonym-caching/pyproject.toml/0 | {
"file_path": "langchain/templates/cassandra-synonym-caching/pyproject.toml",
"repo_id": "langchain",
"token_count": 312
} | 643 |
# 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/convnext/test_modeling_tf_convnext.py/0 | {
"file_path": "transformers/tests/models/convnext/test_modeling_tf_convnext.py",
"repo_id": "transformers",
"token_count": 4942
} | 777 |
from langchain_community.agent_toolkits.base import BaseToolkit
__all__ = ["BaseToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/base.py",
"repo_id": "langchain",
"token_count": 29
} | 432 |
"""Redis Vector store index.
An index that is built on top of an existing vector store.
"""
import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional
import fsspec
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy.readers.redis.utils import (
TokenEscaper,
a... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/redis.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/redis.py",
"repo_id": "llama_index",
"token_count": 8055
} | 1,725 |
{
"openapi": "3.0.1",
"info": {
"title": "Milo",
"description": "Use the Milo plugin to lookup how parents can help create magic moments / meaningful memories with their families everyday. Milo can answer - what's magic today?",
"version": "v2"
},
"servers": [
{
"url": "http... | langchain/libs/community/tests/unit_tests/examples/test_specs/joinmilo/apispec.json/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/examples/test_specs/joinmilo/apispec.json",
"repo_id": "langchain",
"token_count": 969
} | 397 |
echo "hello world"
echo "this is a second command" | accelerate/tests/test_samples/test_command_file.sh/0 | {
"file_path": "accelerate/tests/test_samples/test_command_file.sh",
"repo_id": "accelerate",
"token_count": 14
} | 17 |
import { TYPES } from "../constants";
import { Config, ConfigListProps } from "../hooks/useConfigList";
import { cn } from "../utils/cn";
function ConfigItem(props: {
config: Config;
currentConfig: ConfigListProps["currentConfig"];
enterConfig: ConfigListProps["enterConfig"];
}) {
return (
<li key={props.c... | opengpts/frontend/src/components/ConfigList.tsx/0 | {
"file_path": "opengpts/frontend/src/components/ConfigList.tsx",
"repo_id": "opengpts",
"token_count": 1548
} | 2,140 |
"""Infer-Retrieve-Rerank Pack.
Taken from this paper: https://arxiv.org/pdf/2401.12178.pdf.
"""
from typing import Any, Dict, Optional
from llama_index.embeddings.openai import OpenAIEmbedding
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.schema import TextNode
from llama_index.co... | llama_index/llama-index-packs/llama-index-packs-infer-retrieve-rerank/llama_index/packs/infer_retrieve_rerank/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-infer-retrieve-rerank/llama_index/packs/infer_retrieve_rerank/base.py",
"repo_id": "llama_index",
"token_count": 2119
} | 1,674 |
[loggers]
keys=root,uicheckapp
[handlers]
keys=consoleHandler
[formatters]
keys=normalFormatter
[logger_root]
level=INFO
handlers=consoleHandler
[logger_uicheckapp]
level=DEBUG
handlers=consoleHandler
qualname=uicheckapp
propagate=0
[formatter_normalFormatter]
format=%(asctime)s loglevel=%(levelname)-6s logger=%(n... | auto-evaluator/api/logging.conf/0 | {
"file_path": "auto-evaluator/api/logging.conf",
"repo_id": "auto-evaluator",
"token_count": 178
} | 1 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::{Error as E, Result};
use clap::Parser;
use candle_transformers::models::chatglm::{Config, Model};
use candle::{DType, Device, Tensor};
use candle_nn::VarBuilder;
use candle_transformers::gene... | candle/candle-examples/examples/chatglm/main.rs/0 | {
"file_path": "candle/candle-examples/examples/chatglm/main.rs",
"repo_id": "candle",
"token_count": 3423
} | 47 |
exclude: 'chromadb/proto/(chroma_pb2|coordinator_pb2)\.(py|pyi|py_grpc\.py)' # Generated files
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.5.0
hooks:
- id: trailing-whitespace
- id: mixed-line-ending
- id: end-of-file-fixer
- id: requirements-txt-fixer
-... | chroma/.pre-commit-config.yaml/0 | {
"file_path": "chroma/.pre-commit-config.yaml",
"repo_id": "chroma",
"token_count": 586
} | 10 |
# Metric Card for Matthews Correlation Coefficient
## Metric Description
The Matthews correlation coefficient is used in machine learning as a
measure of the quality of binary and multiclass classifications. It takes
into account true and false positives and negatives and is generally
regarded as a balanced measure wh... | datasets/metrics/matthews_correlation/README.md/0 | {
"file_path": "datasets/metrics/matthews_correlation/README.md",
"repo_id": "datasets",
"token_count": 1251
} | 119 |
import { NotionLoader } from "langchain/document_loaders/fs/notion";
export const run = async () => {
/** Provide the directory path of your notion folder */
const directoryPath = "Notion_DB";
const loader = new NotionLoader(directoryPath);
const docs = await loader.load();
console.log({ docs });
};
| langchainjs/examples/src/document_loaders/notion_markdown.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/notion_markdown.ts",
"repo_id": "langchainjs",
"token_count": 89
} | 829 |
.. _Prompt-Templates:
Prompt Templates
=================
These are the reference prompt templates.
We first show links to default prompts.
We then show the base prompt template class and its subclasses.
Default Prompts
^^^^^^^^^^^^^^^^^
* `Completion prompt templates <https://github.com/jerryjliu/llama_index/blo... | llama_index/docs/api_reference/prompts.rst/0 | {
"file_path": "llama_index/docs/api_reference/prompts.rst",
"repo_id": "llama_index",
"token_count": 448
} | 1,081 |
// 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/sessionutil/session.go/0 | {
"file_path": "milvus/internal/util/sessionutil/session.go",
"repo_id": "milvus",
"token_count": 517
} | 1,907 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class TensorFlowBenchmarkArguments(metaclass=DummyObject):
_backends = ["tf"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tf"])
class TensorFlowBenchmark... | transformers/src/transformers/utils/dummy_tf_objects.py/0 | {
"file_path": "transformers/src/transformers/utils/dummy_tf_objects.py",
"repo_id": "transformers",
"token_count": 28517
} | 757 |
"""Slides parser.
Contains parsers for .pptx files.
"""
import os
from pathlib import Path
from typing import Dict, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
from llama_index.core.utils import infer_torch_device
class PptxReader(BaseReader):
... | llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/slides/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/slides/base.py",
"repo_id": "llama_index",
"token_count": 1711
} | 1,404 |
import os
import zipfile
import pytest
from datasets.utils.extract import (
Bzip2Extractor,
Extractor,
GzipExtractor,
Lz4Extractor,
SevenZipExtractor,
TarExtractor,
XzExtractor,
ZipExtractor,
ZstdExtractor,
)
from .utils import require_lz4, require_py7zr, require_zstandard
@pyte... | datasets/tests/test_extract.py/0 | {
"file_path": "datasets/tests/test_extract.py",
"repo_id": "datasets",
"token_count": 2984
} | 167 |
import logging
from typing import Callable, List
from llama_index.core.node_parser.interface import TextSplitter
logger = logging.getLogger(__name__)
def truncate_text(text: str, text_splitter: TextSplitter) -> str:
"""Truncate text to fit within the chunk size."""
chunks = text_splitter.split_text(text)
... | llama_index/llama-index-core/llama_index/core/node_parser/text/utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/node_parser/text/utils.py",
"repo_id": "llama_index",
"token_count": 895
} | 1,233 |
from llama_index.packs.vanna.base import VannaQueryEngine, VannaPack
__all__ = ["VannaPack", "VannaQueryEngine"]
| llama_index/llama-index-packs/llama-index-packs-vanna/llama_index/packs/vanna/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vanna/llama_index/packs/vanna/__init__.py",
"repo_id": "llama_index",
"token_count": 39
} | 1,616 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-awadb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-awadb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,335 |
from langchain_community.embeddings import __all__
EXPECTED_ALL = [
"OpenAIEmbeddings",
"AzureOpenAIEmbeddings",
"BaichuanTextEmbeddings",
"ClarifaiEmbeddings",
"CohereEmbeddings",
"DatabricksEmbeddings",
"ElasticsearchEmbeddings",
"FastEmbedEmbeddings",
"HuggingFaceEmbeddings",
... | langchain/libs/community/tests/unit_tests/embeddings/test_imports.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/embeddings/test_imports.py",
"repo_id": "langchain",
"token_count": 809
} | 394 |
# Big model inference benchmarks
Running inference with Accelerate on big models.
## Setup
These benchmarks use the `transformers` library:
```bash
pip install transformers
```
To reproduce or test a new setup, run
```py
python inference_acc.py model_name
```
This script supports `gpt-j-6b`, `gpt-neox`, `opt` (3... | accelerate/benchmarks/README.md/0 | {
"file_path": "accelerate/benchmarks/README.md",
"repo_id": "accelerate",
"token_count": 702
} | 1 |
# candle-mobileone
[MobileOne: An Improved One millisecond Mobile Backbone](https://arxiv.org/abs/2206.04040).
This candle implementation uses a pre-trained MobileOne network for inference. The
classification head has been trained on the ImageNet dataset and returns the
probabilities for the top-5 classes.
## Runnin... | candle/candle-examples/examples/mobileone/README.md/0 | {
"file_path": "candle/candle-examples/examples/mobileone/README.md",
"repo_id": "candle",
"token_count": 254
} | 46 |
## Diffusers examples with ONNXRuntime optimizations
**This research project is not actively maintained by the diffusers team. For any questions or comments, please contact Isamu Isozaki(isamu-isozaki) on github with any questions.**
The aim of this project is to provide retrieval augmented diffusion models to diffus... | diffusers/examples/research_projects/rdm/README.md/0 | {
"file_path": "diffusers/examples/research_projects/rdm/README.md",
"repo_id": "diffusers",
"token_count": 75
} | 217 |
"""Test Self-hosted LLMs."""
import pickle
from typing import Any, List, Optional
from langchain_community.llms import SelfHostedHuggingFaceLLM, SelfHostedPipeline
model_reqs = ["pip:./", "transformers", "torch"]
def get_remote_instance() -> Any:
"""Get remote instance for testing."""
import runhouse as rh
... | langchain/libs/community/tests/integration_tests/llms/test_self_hosted_llm.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_self_hosted_llm.py",
"repo_id": "langchain",
"token_count": 1476
} | 374 |
# coding=utf-8
# Copyright 2023 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to G... | transformers/src/transformers/models/deprecated/open_llama/configuration_open_llama.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/open_llama/configuration_open_llama.py",
"repo_id": "transformers",
"token_count": 3053
} | 591 |
from langchain_community.embeddings.self_hosted import (
SelfHostedEmbeddings,
)
__all__ = ["SelfHostedEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/self_hosted.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/self_hosted.py",
"repo_id": "langchain",
"token_count": 44
} | 535 |
<jupyter_start><jupyter_text>Huawei OBS DirectoryThe following code demonstrates how to load objects from the Huawei OBS (Object Storage Service) as documents.<jupyter_code># Install the required package
# pip install esdk-obs-python
from langchain_community.document_loaders import OBSDirectoryLoader
endpoint = "your-e... | langchain/docs/docs/integrations/document_loaders/huawei_obs_directory.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/huawei_obs_directory.ipynb",
"repo_id": "langchain",
"token_count": 505
} | 100 |
from unittest.mock import MagicMock, patch
from llama_index.core.graph_stores.types import GraphStore
from llama_index.graph_stores.neo4j import Neo4jGraphStore
@patch("llama_index.graph_stores.neo4j.Neo4jGraphStore")
def test_kuzu_graph_store(MockNeo4jGraphStore: MagicMock):
instance: Neo4jGraphStore = MockNeo4... | llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/tests/test_graph_stores_neo4j.py/0 | {
"file_path": "llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/tests/test_graph_stores_neo4j.py",
"repo_id": "llama_index",
"token_count": 141
} | 1,284 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install 🤗 Transformers as well as some other libraries. Uncomment the following cell and run it.<jupyter_code>#! pip install transformers evaluate datasets requests pandas sklearn<jupyter_output><empty_output><jupyter_text... | notebooks/examples/protein_language_modeling-tf.ipynb/0 | {
"file_path": "notebooks/examples/protein_language_modeling-tf.ipynb",
"repo_id": "notebooks",
"token_count": 8412
} | 295 |
kind: Schedule
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-mixcoord-pod-kill
namespace: chaos-testing
spec:
schedule: '*/5 * * * * *'
startingDeadlineSeconds: 60
concurrencyPolicy: Forbid
historyLimit: 1
type: PodChaos
podChaos:
selector:
namespaces:
- chaos-testing
... | milvus/tests/python_client/chaos/chaos_objects/pod_kill/chaos_mixcoord_pod_kill.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_kill/chaos_mixcoord_pod_kill.yaml",
"repo_id": "milvus",
"token_count": 231
} | 1,898 |
# 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/models/unets/test_models_unet_2d.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_2d.py",
"repo_id": "diffusers",
"token_count": 5100
} | 273 |
from typing import Any, List, Optional
import aiohttp
import requests
from langchain_core.callbacks import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
class ChaindeskRetriever(BaseRe... | langchain/libs/community/langchain_community/retrievers/chaindesk.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/chaindesk.py",
"repo_id": "langchain",
"token_count": 1460
} | 275 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.couchbase import CouchbaseReader
def test_class():
names_of_base_classes = [b.__name__ for b in CouchbaseReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-couchbase/tests/test_readers_couchbase.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-couchbase/tests/test_readers_couchbase.py",
"repo_id": "llama_index",
"token_count": 89
} | 1,278 |
"""Mock prompt utils."""
from llama_index.core.prompts.base import PromptTemplate
from llama_index.core.prompts.prompt_type import PromptType
MOCK_SUMMARY_PROMPT_TMPL = "{context_str}\n"
MOCK_SUMMARY_PROMPT = PromptTemplate(
MOCK_SUMMARY_PROMPT_TMPL, prompt_type=PromptType.SUMMARY
)
MOCK_INSERT_PROMPT_TMPL = "{n... | llama_index/llama-index-core/tests/mock_utils/mock_prompts.py/0 | {
"file_path": "llama_index/llama-index-core/tests/mock_utils/mock_prompts.py",
"repo_id": "llama_index",
"token_count": 1160
} | 1,237 |
""" Padding Helpers
Hacked together by / Copyright 2020 Ross Wightman
"""
import math
from typing import List, Tuple
import torch
import torch.nn.functional as F
# Calculate symmetric padding for a convolution
def get_padding(kernel_size: int, stride: int = 1, dilation: int = 1, **_) -> int:
padding = ((stride ... | pytorch-image-models/timm/layers/padding.py/0 | {
"file_path": "pytorch-image-models/timm/layers/padding.py",
"repo_id": "pytorch-image-models",
"token_count": 1200
} | 369 |
import { COOKIE_NAME, EXPOSE_API, MESSAGES_BEFORE_LOGIN } from "$env/static/private";
import type { Handle } from "@sveltejs/kit";
import {
PUBLIC_GOOGLE_ANALYTICS_ID,
PUBLIC_ORIGIN,
PUBLIC_APP_DISCLAIMER,
} from "$env/static/public";
import { collections } from "$lib/server/database";
import { base } from "$app/pat... | chat-ui/src/hooks.server.ts/0 | {
"file_path": "chat-ui/src/hooks.server.ts",
"repo_id": "chat-ui",
"token_count": 1640
} | 84 |
from typing import Any, Dict
# pants: no-infer-dep
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
from llama_index.core.embeddings.utils import resolve_embed_model
from llama_index.embeddings.huggingface import (
HuggingFaceEmbedding,
) # pants: no-infer-dep
from llama_index.embeddings.ope... | llama_index/llama-index-core/tests/embeddings/todo_hf_test_utils.py/0 | {
"file_path": "llama_index/llama-index-core/tests/embeddings/todo_hf_test_utils.py",
"repo_id": "llama_index",
"token_count": 712
} | 1,149 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/roformer/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/roformer/__init__.py",
"repo_id": "transformers",
"token_count": 2239
} | 737 |
// 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/utils/meta.go/0 | {
"file_path": "milvus/internal/querycoordv2/utils/meta.go",
"repo_id": "milvus",
"token_count": 2734
} | 1,761 |
import random
import re
import signal
from collections import defaultdict
from contextlib import contextmanager
from typing import Any, Dict, List, Optional, Set, Tuple
from llama_index.legacy.program.predefined.evaporate.prompts import (
DEFAULT_EXPECTED_OUTPUT_PREFIX_TMPL,
DEFAULT_FIELD_EXTRACT_QUERY_TMPL,
... | llama_index/llama-index-legacy/llama_index/legacy/program/predefined/evaporate/extractor.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/program/predefined/evaporate/extractor.py",
"repo_id": "llama_index",
"token_count": 4132
} | 1,751 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/segment.go/0 | {
"file_path": "milvus/internal/proxy/segment.go",
"repo_id": "milvus",
"token_count": 4658
} | 1,749 |
.PHONY: doc-notebooks
doc-notebooks:
python utils/convert_doc_to_notebooks.py
| notebooks/Makefile/0 | {
"file_path": "notebooks/Makefile",
"repo_id": "notebooks",
"token_count": 33
} | 267 |
// 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/flowgraph/message.go/0 | {
"file_path": "milvus/internal/util/flowgraph/message.go",
"repo_id": "milvus",
"token_count": 883
} | 2,015 |
from langchain_community.tools.golden_query.tool import GoldenQueryRun
__all__ = ["GoldenQueryRun"]
| langchain/libs/langchain/langchain/tools/golden_query/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/golden_query/tool.py",
"repo_id": "langchain",
"token_count": 30
} | 560 |
use super::k_quants::{
BlockQ2K, BlockQ3K, BlockQ4K, BlockQ4_0, BlockQ5K, BlockQ6K, BlockQ8K, BlockQ8_0, QK8_0, QK_K,
};
use crate::Result;
use byteorder::{ByteOrder, LittleEndian};
use half::f16;
#[cfg(target_arch = "x86")]
use core::arch::x86::*;
#[cfg(target_arch = "x86_64")]
use core::arch::x86_64::*;
#[inlin... | candle/candle-core/src/quantized/avx.rs/0 | {
"file_path": "candle/candle-core/src/quantized/avx.rs",
"repo_id": "candle",
"token_count": 17495
} | 40 |
# Chatbots
Chatbots are another extremely popular use case for LLMs. Instead of a single question and answer, a chatbot can handle multiple back-and-forth queries and answers, getting clarification or answering follow-up questions.
LlamaIndex gives you the tools to build knowledge-augmented chatbots and agents.
Here... | llama_index/docs/use_cases/chatbots.md/0 | {
"file_path": "llama_index/docs/use_cases/chatbots.md",
"repo_id": "llama_index",
"token_count": 384
} | 1,132 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.weather import WeatherReader
def test_class():
names_of_base_classes = [b.__name__ for b in WeatherReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-weather/tests/test_readers_weather.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-weather/tests/test_readers_weather.py",
"repo_id": "llama_index",
"token_count": 85
} | 1,431 |
#ifndef _qdq_5_cuh
#define _qdq_5_cuh
#include "qdq_util.cuh"
#include "../../config.h"
#if QMODE_5BIT == 1
// Permutation:
//
// v5555533 33311111 u4444422 22200000 (u, v lsb)
// vbbbbb99 99977777 uaaaaa88 88866666
// vhhhhhff fffddddd ugggggee eeeccccc
// vnnnnnll llljjjjj ummmmmkk kkkiiiii
// vtttttrr rrrppp... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_5.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_5.cuh",
"repo_id": "text-generation-inference",
"token_count": 4271
} | 379 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-corrective-rag/examples/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-corrective-rag/examples/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,646 |
from langchain_community.tools.eleven_labs.models import ElevenLabsModel
__all__ = ["ElevenLabsModel"]
| langchain/libs/langchain/langchain/tools/eleven_labs/models.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/eleven_labs/models.py",
"repo_id": "langchain",
"token_count": 34
} | 549 |
// 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/controller.go/0 | {
"file_path": "milvus/internal/querycoordv2/checkers/controller.go",
"repo_id": "milvus",
"token_count": 2149
} | 1,973 |
<jupyter_start><jupyter_text>BM25[BM25](https://en.wikipedia.org/wiki/Okapi_BM25) also known as the Okapi BM25, is a ranking function used in information retrieval systems to estimate the relevance of documents to a given search query.This notebook goes over how to use a retriever that under the hood uses BM25 using [`... | langchain/docs/docs/integrations/retrievers/bm25.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/bm25.ipynb",
"repo_id": "langchain",
"token_count": 529
} | 152 |
<jupyter_start><jupyter_text>Make ReaderWe show how LlamaIndex can fit with your Make.com workflow by sending the GPT Index response to a scenario webhook. If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-readers-make-com
!pip install llama... | llama_index/docs/examples/data_connectors/MakeDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/data_connectors/MakeDemo.ipynb",
"repo_id": "llama_index",
"token_count": 450
} | 1,110 |
# 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/LICENSE-2.0
#
# Unless r... | transformers/tests/models/instructblip/test_modeling_instructblip.py/0 | {
"file_path": "transformers/tests/models/instructblip/test_modeling_instructblip.py",
"repo_id": "transformers",
"token_count": 10951
} | 732 |
from llama_index.legacy.chat_engine.condense_plus_context import (
CondensePlusContextChatEngine,
)
from llama_index.legacy.chat_engine.condense_question import CondenseQuestionChatEngine
from llama_index.legacy.chat_engine.context import ContextChatEngine
from llama_index.legacy.chat_engine.simple import SimpleCha... | llama_index/llama-index-legacy/llama_index/legacy/chat_engine/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/chat_engine/__init__.py",
"repo_id": "llama_index",
"token_count": 147
} | 1,555 |
import asyncio
from typing import Any, Dict, List, Optional, Sequence
from llama_index.legacy.bridge.pydantic import Field
from llama_index.legacy.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.legacy.prompts.mixin import PromptDictType, PromptMixinType
class TonicValidateEvaluationResult(Ev... | llama_index/llama-index-legacy/llama_index/legacy/evaluation/tonic_validate/tonic_validate_evaluator.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/evaluation/tonic_validate/tonic_validate_evaluator.py",
"repo_id": "llama_index",
"token_count": 2736
} | 1,706 |
from typing import Optional
DEFAULT_HUGGINGFACE_EMBEDDING_MODEL = "BAAI/bge-small-en"
DEFAULT_INSTRUCT_MODEL = "hkunlp/instructor-base"
# Originally pulled from:
# https://github.com/langchain-ai/langchain/blob/v0.0.257/libs/langchain/langchain/embeddings/huggingface.py#L10
DEFAULT_EMBED_INSTRUCTION = "Represent the ... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-instructor/llama_index/embeddings/instructor/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-instructor/llama_index/embeddings/instructor/utils.py",
"repo_id": "llama_index",
"token_count": 1059
} | 1,314 |
kind: Schedule
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-standalone-pod-kill
namespace: chaos-testing
spec:
schedule: '*/5 * * * * *'
startingDeadlineSeconds: 60
concurrencyPolicy: Forbid
historyLimit: 1
type: PodChaos
podChaos:
selector:
namespaces:
- chaos-testing
... | milvus/tests/python_client/chaos/chaos_objects/pod_kill/chaos_standalone_pod_kill.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_kill/chaos_standalone_pod_kill.yaml",
"repo_id": "milvus",
"token_count": 221
} | 1,968 |
from typing import Any, Dict, List, cast
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import Field
from langchain_core.retrievers import BaseRetriever
class LlamaIndexRetriever(BaseRetriever):
"""`LlamaIndex` ret... | langchain/libs/community/langchain_community/retrievers/llama_index.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/llama_index.py",
"repo_id": "langchain",
"token_count": 1293
} | 297 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-recursive-retriever/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-recursive-retriever/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,679 |
from abc import ABC, abstractmethod
from argparse import ArgumentParser
class BaseDatasetsCLICommand(ABC):
@staticmethod
@abstractmethod
def register_subcommand(parser: ArgumentParser):
raise NotImplementedError()
@abstractmethod
def run(self):
raise NotImplementedError()
| datasets/src/datasets/commands/__init__.py/0 | {
"file_path": "datasets/src/datasets/commands/__init__.py",
"repo_id": "datasets",
"token_count": 107
} | 139 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "stores/message/cloudflare_d1",
newEntrypointName: "",
newPackageName: "@langchain/cloudflare",
});
export * from "@langchain/community/stores/message/cloudflar... | langchainjs/langchain/src/stores/message/cloudflare_d1.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/message/cloudflare_d1.ts",
"repo_id": "langchainjs",
"token_count": 106
} | 952 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clip/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clip/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,224 |
python_sources()
| llama_index/llama-index-core/llama_index/core/program/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/program/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,191 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/util/importutilv2/parquet/reader.go/0 | {
"file_path": "milvus/internal/util/importutilv2/parquet/reader.go",
"repo_id": "milvus",
"token_count": 1244
} | 1,806 |
from langchain_community.agent_toolkits.ainetwork.toolkit import AINetworkToolkit
__all__ = ["AINetworkToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/ainetwork/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/ainetwork/toolkit.py",
"repo_id": "langchain",
"token_count": 39
} | 436 |
import { test, expect } from "@jest/globals";
import { OpenAI } from "@langchain/openai";
import { HumanMessage, AIMessage } from "@langchain/core/messages";
import { ChatMessageHistory } from "@langchain/community/stores/message/in_memory";
import { ConversationTokenBufferMemory } from "../buffer_token_memory.js";
te... | langchainjs/langchain/src/memory/tests/buffer_token_memory.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/tests/buffer_token_memory.int.test.ts",
"repo_id": "langchainjs",
"token_count": 642
} | 919 |
import { LLMChain } from "langchain/chains";
import { ChatMinimax } from "@langchain/community/chat_models/minimax";
import {
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
} from "@langchain/core/prompts";
// We can also construct an LLMChain from a ChatPromptTemplate and a chat mo... | langchainjs/examples/src/models/chat/minimax_chain.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/minimax_chain.ts",
"repo_id": "langchainjs",
"token_count": 261
} | 869 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gradient/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gradient/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,182 |
def contains_expected_response(response: str, expected_response: str) -> bool:
"""Check if the response contains the expected response."""
return expected_response in response
| llama_index/benchmarks/agent/eval.py/0 | {
"file_path": "llama_index/benchmarks/agent/eval.py",
"repo_id": "llama_index",
"token_count": 46
} | 1,031 |
# Usage Pattern
## Get Started
Each data loader contains a "Usage" section showing how that loader can be used. At the core of using each loader is a `download_loader` function, which
downloads the loader file into a module that you can use within your application.
Example usage:
```python
from llama_index.core imp... | llama_index/docs/module_guides/loading/connector/usage_pattern.md/0 | {
"file_path": "llama_index/docs/module_guides/loading/connector/usage_pattern.md",
"repo_id": "llama_index",
"token_count": 223
} | 1,121 |
// yarn test:single src/experimental/masking/tests/masking-extended.test.ts
import { MaskingParser, RegexMaskingTransformer } from "../index.js";
// Mock database for simulating state storage and retrieval
const mockDB = (() => {
const db = new Map<string, string>();
return {
async saveState(key: string, seria... | langchainjs/langchain/src/experimental/masking/tests/masking-extended.test.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/masking/tests/masking-extended.test.ts",
"repo_id": "langchainjs",
"token_count": 834
} | 897 |
import os
from pathlib import Path
from langchain_community.document_loaders import UnstructuredOrgModeLoader
EXAMPLE_DIRECTORY = file_path = Path(__file__).parent.parent / "examples"
def test_unstructured_org_mode_loader() -> None:
"""Test unstructured loader."""
file_path = os.path.join(EXAMPLE_DIRECTORY,... | langchain/libs/community/tests/integration_tests/document_loaders/test_org_mode.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_org_mode.py",
"repo_id": "langchain",
"token_count": 154
} | 345 |
package proxy
import (
"context"
"fmt"
"sync"
"github.com/cockroachdb/errors"
"go.uber.org/zap"
"github.com/milvus-io/milvus/internal/registry"
"github.com/milvus-io/milvus/internal/types"
"github.com/milvus-io/milvus/pkg/log"
)
type queryNodeCreatorFunc func(ctx context.Context, addr string, nodeID int64) ... | milvus/internal/proxy/shard_client.go/0 | {
"file_path": "milvus/internal/proxy/shard_client.go",
"repo_id": "milvus",
"token_count": 2033
} | 2,022 |
---
sidebar_label: TogetherAI
---
import CodeBlock from "@theme/CodeBlock";
# ChatTogetherAI
## Setup
1. Create a TogetherAI account and get your API key [here](http://api.together.ai/).
2. Export or set your API key inline. The ChatTogetherAI class defaults to `process.env.TOGETHER_AI_API_KEY`.
```bash
export TOG... | langchainjs/docs/core_docs/docs/integrations/chat/togetherai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/togetherai.mdx",
"repo_id": "langchainjs",
"token_count": 578
} | 723 |
<jupyter_start><jupyter_text>Web Page ReaderDemonstrates our web page reader.<jupyter_code>%pip install llama-index-readers-web
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))<jupyter_output><empty_output><jup... | llama_index/docs/examples/data_connectors/WebPageDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/data_connectors/WebPageDemo.ipynb",
"repo_id": "llama_index",
"token_count": 671
} | 1,130 |
# 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/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/seamless_m4t_v2/modeling_seamless_m4t_v2.py/0 | {
"file_path": "transformers/src/transformers/models/seamless_m4t_v2/modeling_seamless_m4t_v2.py",
"repo_id": "transformers",
"token_count": 101055
} | 657 |
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