text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# candle-jina-bert
Jina-Bert is a general large language model with a context size of 8192, [model
card](https://huggingface.co/jinaai/jina-embeddings-v2-base-en). In this example
it can be used for two different tasks:
- Compute sentence embeddings for a prompt.
- Compute similarities between a set of sentences.
##... | candle/candle-examples/examples/jina-bert/README.md/0 | {
"file_path": "candle/candle-examples/examples/jina-bert/README.md",
"repo_id": "candle",
"token_count": 663
} | 41 |
from typing import Dict
MISTRALAI_MODELS: Dict[str, int] = {
"mistral-tiny": 32000,
"mistral-small": 32000,
"mistral-medium": 32000,
}
def mistralai_modelname_to_contextsize(modelname: str) -> int:
if modelname not in MISTRALAI_MODELS:
raise ValueError(
f"Unknown model: {modelname... | llama_index/llama-index-legacy/llama_index/legacy/llms/mistralai_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/mistralai_utils.py",
"repo_id": "llama_index",
"token_count": 209
} | 1,735 |
python_sources()
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-google/llama_index/indices/managed/google/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-google/llama_index/indices/managed/google/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,270 |
<jupyter_start><jupyter_text>Training PEFT models with new tokens being added to the embedding layers and tokenizerIn this example, we will learn how to train a LoRA model when adding new tokens to the tokenizer and model. This is a common usecase when doing the following:1. Instruction finetuning with new tokens beind... | peft/examples/causal_language_modeling/peft_lora_clm_with_additional_tokens.ipynb/0 | {
"file_path": "peft/examples/causal_language_modeling/peft_lora_clm_with_additional_tokens.ipynb",
"repo_id": "peft",
"token_count": 4571
} | 297 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_span.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_span.cpp",
"repo_id": "milvus",
"token_count": 1265
} | 1,686 |
## Running Whisper Examples
Here, we provide two examples of how to run Whisper using a Candle-compiled WASM binary and runtimes.
### Pure Rust UI
To build and test the UI made in Rust you will need [Trunk](https://trunkrs.dev/#install)
From the `candle-wasm-examples/whisper` directory run:
Download assets:
```bas... | candle/candle-wasm-examples/whisper/README.md/0 | {
"file_path": "candle/candle-wasm-examples/whisper/README.md",
"repo_id": "candle",
"token_count": 1023
} | 79 |
// 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/datanode/compaction_executor.go/0 | {
"file_path": "milvus/internal/datanode/compaction_executor.go",
"repo_id": "milvus",
"token_count": 2087
} | 1,835 |
# Examples of using peft with trl to finetune 8-bit models with Low Rank Adaption (LoRA)
The notebooks and scripts in this examples show how to use Low Rank Adaptation (LoRA) to fine-tune models in a memory efficient manner. Most of PEFT methods supported in peft library but note that some PEFT methods such as Prompt ... | trl/docs/source/lora_tuning_peft.mdx/0 | {
"file_path": "trl/docs/source/lora_tuning_peft.mdx",
"repo_id": "trl",
"token_count": 2080
} | 778 |
import { expect, test } from "@jest/globals";
import { ChromaClient } from "../src/ChromaClient";
import chroma from "./initClient";
test("it should create the client connection", async () => {
expect(chroma).toBeDefined();
expect(chroma).toBeInstanceOf(ChromaClient);
});
test("it should get the version", asy... | chroma/clients/js/test/client.test.ts/0 | {
"file_path": "chroma/clients/js/test/client.test.ts",
"repo_id": "chroma",
"token_count": 2943
} | 34 |
# coding=utf-8
# Copyright 2021 ASAPP Inc. and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | transformers/src/transformers/models/sew/configuration_sew.py/0 | {
"file_path": "transformers/src/transformers/models/sew/configuration_sew.py",
"repo_id": "transformers",
"token_count": 5652
} | 741 |
from langchain_community.embeddings.cloudflare_workersai import (
CloudflareWorkersAIEmbeddings,
)
__all__ = ["CloudflareWorkersAIEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/cloudflare_workersai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/cloudflare_workersai.py",
"repo_id": "langchain",
"token_count": 54
} | 544 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/zh/custom_models.md/0 | {
"file_path": "transformers/docs/source/zh/custom_models.md",
"repo_id": "transformers",
"token_count": 7975
} | 569 |
""" The EfficientNet Family in PyTorch
An implementation of EfficienNet that covers variety of related models with efficient architectures:
* EfficientNet-V2
- `EfficientNetV2: Smaller Models and Faster Training` - https://arxiv.org/abs/2104.00298
* EfficientNet (B0-B8, L2 + Tensorflow pretrained AutoAug/RandAug/A... | pytorch-image-models/timm/models/efficientnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/efficientnet.py",
"repo_id": "pytorch-image-models",
"token_count": 47473
} | 353 |
python_sources()
| llama_index/llama-index-cli/llama_index/cli/new_package/templates/BUILD/0 | {
"file_path": "llama_index/llama-index-cli/llama_index/cli/new_package/templates/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,157 |
import { BasePromptTemplate } from "@langchain/core/prompts";
import { loadFromHub } from "../util/hub.js";
import { FileLoader, loadFromFile } from "../util/load.js";
import { parseFileConfig } from "../util/parse.js";
const loadPromptFromFile: FileLoader<BasePromptTemplate> = (text, path) =>
BasePromptTemplate.des... | langchainjs/langchain/src/prompts/load.ts/0 | {
"file_path": "langchainjs/langchain/src/prompts/load.ts",
"repo_id": "langchainjs",
"token_count": 396
} | 1,006 |
<!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/ko/pr_checks.md/0 | {
"file_path": "transformers/docs/source/ko/pr_checks.md",
"repo_id": "transformers",
"token_count": 9042
} | 497 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img.py",
"repo_id": "diffusers",
"token_count": 17509
} | 244 |
# if true, only log to stdout
--logtostdout=true
--logtostderr=false
--alsologtostderr=false
# `INFO``, ``WARNING``, ``ERROR``, and ``FATAL`` are 0, 1, 2, and 3
--minloglevel=0
--log_dir=/var/lib/milvus/logs/
# using vlog to implement debug and trace log
# if set vmodule to 5, open debug level
# if set vmodule to 6, op... | milvus/configs/glog.conf/0 | {
"file_path": "milvus/configs/glog.conf",
"repo_id": "milvus",
"token_count": 169
} | 1,760 |
<jupyter_start><jupyter_text>Chat Engine with a Personality ✨ If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>!pip install llama-index<jupyter_output><empty_output><jupyter_text>Default<jupyter_code>from llama_index.core.chat_engine import SimpleChatEngine
chat_e... | llama_index/docs/examples/chat_engine/chat_engine_personality.ipynb/0 | {
"file_path": "llama_index/docs/examples/chat_engine/chat_engine_personality.ipynb",
"repo_id": "llama_index",
"token_count": 793
} | 1,045 |
import { ScrollArea, Spoiler, Table, Text } from "@mantine/core";
import { Result } from "../../utils/types";
import renderPassFail from "../../utils/renderPassFail";
const ExperimentResultsTable = ({
results,
isFastGradingPrompt,
}: {
results: any[];
isFastGradingPrompt: boolean;
}) => {
return (
<Scrol... | auto-evaluator/nextjs/components/tables/ExperimentResultTable.tsx/0 | {
"file_path": "auto-evaluator/nextjs/components/tables/ExperimentResultTable.tsx",
"repo_id": "auto-evaluator",
"token_count": 1683
} | 2 |
# Create an image dataset
There are two methods for creating and sharing an image dataset. This guide will show you how to:
* Create an image dataset with `ImageFolder` and some metadata. This is a no-code solution for quickly creating an image dataset with several thousand images.
* Create an image dataset by writin... | datasets/docs/source/image_dataset.mdx/0 | {
"file_path": "datasets/docs/source/image_dataset.mdx",
"repo_id": "datasets",
"token_count": 5724
} | 121 |
from langchain_community.utilities.openapi import HTTPVerb, OpenAPISpec
__all__ = ["HTTPVerb", "OpenAPISpec"]
| langchain/libs/langchain/langchain/utilities/openapi.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/openapi.py",
"repo_id": "langchain",
"token_count": 38
} | 576 |
# Async Website Loader
This loader is an asynchronous web scraper that fetches the text from static websites by converting the HTML to text.
## Usage
To use this loader, you need to pass in an array of URLs.
```python
from llama_index.readers.web.async_web.base import AsyncWebPageReader
# for jupyter notebooks unc... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/async_web/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/async_web/README.md",
"repo_id": "llama_index",
"token_count": 363
} | 1,465 |
import base64
from abc import ABC
from datetime import datetime
from typing import Callable, Dict, Iterator, List, Literal, Optional, Union
import requests
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseModel, root_validator, validator
from langchain_core.utils import get_from... | langchain/libs/community/langchain_community/document_loaders/github.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/github.py",
"repo_id": "langchain",
"token_count": 4446
} | 251 |
# Documents and Nodes
##### FAQ
1. [What is the default `chunk_size` of a Node object?](#1-what-is-the-default-chunk_size-of-a-node-object)
2. [How to add information like name, url in a `Document` object?](#2-how-to-add-information-like-name-url-in-a-document-object)
3. [How to update existing document in an Index?]... | llama_index/docs/community/faq/documents_and_nodes.md/0 | {
"file_path": "llama_index/docs/community/faq/documents_and_nodes.md",
"repo_id": "llama_index",
"token_count": 368
} | 1,098 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/storage/Util.h/0 | {
"file_path": "milvus/internal/core/src/storage/Util.h",
"repo_id": "milvus",
"token_count": 2457
} | 1,895 |
from langchain_community.utils.openai import is_openai_v1
__all__ = ["is_openai_v1"]
| langchain/libs/langchain/langchain/utils/openai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utils/openai.py",
"repo_id": "langchain",
"token_count": 34
} | 601 |
from llama_index.readers.airtable.base import AirtableReader
__all__ = ["AirtableReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-airtable/llama_index/readers/airtable/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airtable/llama_index/readers/airtable/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,261 |
from langchain_community.tools.edenai.ocr_identityparser import EdenAiParsingIDTool
__all__ = ["EdenAiParsingIDTool"]
| langchain/libs/langchain/langchain/tools/edenai/ocr_identityparser.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/edenai/ocr_identityparser.py",
"repo_id": "langchain",
"token_count": 43
} | 573 |
# Routers
## Concept
Routers are modules that take in a user query and a set of "choices" (defined by metadata), and returns one or more selected choices.
They can be used on their own (as "selector modules"), or used as a query engine or retriever (e.g. on top of other query engines/retrievers).
They are simple bu... | llama_index/docs/module_guides/querying/router/root.md/0 | {
"file_path": "llama_index/docs/module_guides/querying/router/root.md",
"repo_id": "llama_index",
"token_count": 1879
} | 1,231 |
{ "embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {} }
| llama_index/llama-index-core/storage/image__vector_store.json/0 | {
"file_path": "llama_index/llama-index-core/storage/image__vector_store.json",
"repo_id": "llama_index",
"token_count": 32
} | 1,256 |
import os
import argparse
from tqdm import tqdm
import chromadb
from chromadb.utils import embedding_functions
import google.generativeai as genai
def main(
documents_directory: str = "documents",
collection_name: str = "documents_collection",
persist_directory: str = ".",
) -> None:
# Read all file... | chroma/examples/gemini/load_data.py/0 | {
"file_path": "chroma/examples/gemini/load_data.py",
"repo_id": "chroma",
"token_count": 1369
} | 41 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.milvus import MilvusVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in MilvusVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/tests/test_vector_stores_milvus.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-milvus/tests/test_vector_stores_milvus.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,563 |
from typing import List
def _list_indices(database, include_indices=None, ignore_indices=None) -> List[str]:
all_indices = [index["index"] for index in database.cat.indices(format="json")]
if include_indices:
all_indices = [i for i in all_indices if i in include_indices]
if ignore_indices:
... | langchain/templates/elastic-query-generator/elastic_query_generator/elastic_index_info.py/0 | {
"file_path": "langchain/templates/elastic-query-generator/elastic_query_generator/elastic_index_info.py",
"repo_id": "langchain",
"token_count": 603
} | 647 |
import argparse
import inspect
import os
from pathlib import Path
import black
INDENT = " " * 4
GENERATED_COMMENT = "# Generated content DO NOT EDIT\n"
def do_indent(text: str, indent: str):
return text.replace("\n", f"\n{indent}")
def function(obj, indent, text_signature=None):
if text_signature is None... | tokenizers/bindings/python/stub.py/0 | {
"file_path": "tokenizers/bindings/python/stub.py",
"repo_id": "tokenizers",
"token_count": 2385
} | 446 |
from argparse import Namespace, _SubParsersAction
from .configuration import load_config, save_config
def init_cli(args: Namespace) -> None:
"""Handle subcommand "init"."""
config = load_config(args.directory)
save_config(config, args.directory)
def register_init_cli(subparsers: _SubParsersAction) -> N... | llama_index/experimental/cli/cli_init.py/0 | {
"file_path": "llama_index/experimental/cli/cli_init.py",
"repo_id": "llama_index",
"token_count": 220
} | 1,156 |
from elasticsearch import Elasticsearch
from langchain.output_parsers.json import SimpleJsonOutputParser
from langchain_community.chat_models import ChatOpenAI
from langchain_core.pydantic_v1 import BaseModel
from .elastic_index_info import get_indices_infos
from .prompts import DSL_PROMPT
# Setup Elasticsearch
# Thi... | langchain/templates/elastic-query-generator/elastic_query_generator/chain.py/0 | {
"file_path": "langchain/templates/elastic-query-generator/elastic_query_generator/chain.py",
"repo_id": "langchain",
"token_count": 521
} | 662 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-huggingface-fs/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-huggingface-fs/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,314 |
// 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/datanode/compactor_test.go/0 | {
"file_path": "milvus/internal/datanode/compactor_test.go",
"repo_id": "milvus",
"token_count": 16144
} | 1,773 |
""" Bring-Your-Own-Blocks Network
A flexible network w/ dataclass based config for stacking those NN blocks.
This model is currently used to implement the following networks:
GPU Efficient (ResNets) - gernet_l/m/s (original versions called genet, but this was already used (by SENet author)).
Paper: `Neural Architect... | pytorch-image-models/timm/models/byobnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/byobnet.py",
"repo_id": "pytorch-image-models",
"token_count": 42793
} | 351 |
<jupyter_start><jupyter_text>SageMaker Tracking>[Amazon SageMaker](https://aws.amazon.com/sagemaker/) is a fully managed service that is used to quickly and easily build, train and deploy machine learning (ML) models. >[Amazon SageMaker Experiments](https://docs.aws.amazon.com/sagemaker/latest/dg/experiments.html) is a... | langchain/docs/docs/integrations/callbacks/sagemaker_tracking.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/callbacks/sagemaker_tracking.ipynb",
"repo_id": "langchain",
"token_count": 2041
} | 98 |
<jupyter_start><jupyter_text>Chroma Vector Store If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-vector-stores-chroma
!pip install llama-index<jupyter_output><empty_output><jupyter_text>Creating a Chroma Index<jupyter_code>import logging
i... | llama_index/docs/examples/vector_stores/chroma_metadata_filter.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/chroma_metadata_filter.ipynb",
"repo_id": "llama_index",
"token_count": 2001
} | 1,094 |
import pytest
@pytest.fixture(scope="module")
def neox_handle(launcher):
with launcher(
"stabilityai/stablelm-tuned-alpha-3b", num_shard=1, use_flash_attention=False
) as handle:
yield handle
@pytest.fixture(scope="module")
async def neox(neox_handle):
await neox_handle.health(300)
r... | text-generation-inference/integration-tests/models/test_neox.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_neox.py",
"repo_id": "text-generation-inference",
"token_count": 499
} | 413 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/prompts/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/prompts/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,601 |
syntax = "proto3";
package milvus.proto.index;
option go_package = "github.com/milvus-io/milvus/internal/proto/indexpb";
import "common.proto";
import "internal.proto";
import "milvus.proto";
import "schema.proto";
service IndexCoord {
rpc GetComponentStates(milvus.GetComponentStatesRequest) returns (milvus.Compo... | milvus/internal/proto/index_coord.proto/0 | {
"file_path": "milvus/internal/proto/index_coord.proto",
"repo_id": "milvus",
"token_count": 3266
} | 1,809 |
// 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/querynodev2/cluster/worker.go/0 | {
"file_path": "milvus/internal/querynodev2/cluster/worker.go",
"repo_id": "milvus",
"token_count": 2037
} | 1,903 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.xinference import Xinference
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in Xinference.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-xinference/tests/test_llms_xinference.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-xinference/tests/test_llms_xinference.py",
"repo_id": "llama_index",
"token_count": 92
} | 1,251 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/using-diffusers/kandinsky.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/kandinsky.md",
"repo_id": "diffusers",
"token_count": 10810
} | 188 |
import type { basename as BasenameT } from "node:path";
import type { readFile as ReadFileT, stat as StatT } from "node:fs/promises";
import yaml from "js-yaml";
import { Document } from "@langchain/core/documents";
import { getEnv } from "@langchain/core/utils/env";
import { DirectoryLoader, UnknownHandling } from "./... | langchainjs/langchain/src/document_loaders/fs/obsidian.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/fs/obsidian.ts",
"repo_id": "langchainjs",
"token_count": 2880
} | 902 |
from typing import Any, Callable, Dict, List, Optional, Sequence, Set
import numpy as np
import numpy.typing as npt
from chromadb.types import (
EmbeddingRecord,
VectorEmbeddingRecord,
VectorQuery,
VectorQueryResult,
)
from chromadb.utils import distance_functions
import logging
logger = logging.getLo... | chroma/chromadb/segment/impl/vector/brute_force_index.py/0 | {
"file_path": "chroma/chromadb/segment/impl/vector/brute_force_index.py",
"repo_id": "chroma",
"token_count": 2782
} | 18 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-papers/llama_index/readers/papers/pubmed/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-papers/llama_index/readers/papers/pubmed/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,533 |
locust_mix_performance:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_011/cluster/locust_mix
suffix_path: true
cache_config.insert_buffer_size: 2GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_... | milvus/tests/benchmark/milvus_benchmark/suites/cluster_locust_mix.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/cluster_locust_mix.yaml",
"repo_id": "milvus",
"token_count": 679
} | 2,150 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/roformer/test_modeling_tf_roformer.py/0 | {
"file_path": "transformers/tests/models/roformer/test_modeling_tf_roformer.py",
"repo_id": "transformers",
"token_count": 7807
} | 838 |
"""Prompt for the router chain in the multi-retrieval qa chain."""
MULTI_RETRIEVAL_ROUTER_TEMPLATE = """\
Given a query to a question answering system select the system best suited \
for the input. You will be given the names of the available systems and a description \
of what questions the system is best suited for.... | langchain/libs/langchain/langchain/chains/router/multi_retrieval_prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/router/multi_retrieval_prompt.py",
"repo_id": "langchain",
"token_count": 297
} | 469 |
import json
import os
from typing import Optional, Type
from llama_index.core.download.integration import download_integration
from llama_index.core.download.pack import (
LLAMA_PACKS_CONTENTS_URL,
download_llama_pack_template,
track_download,
)
from llama_index.core.llama_pack.base import BaseLlamaPack
... | llama_index/llama-index-core/llama_index/core/llama_pack/download.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/llama_pack/download.py",
"repo_id": "llama_index",
"token_count": 1028
} | 1,187 |
# Response Synthesis Modules
Detailed inputs/outputs for each response synthesizer are found below.
## API Example
The following shows the setup for utilizing all kwargs.
- `response_mode` specifies which response synthesizer to use
- `service_context` defines the LLM and related settings for synthesis
- `text_qa_t... | llama_index/docs/module_guides/querying/response_synthesizers/response_synthesizers.md/0 | {
"file_path": "llama_index/docs/module_guides/querying/response_synthesizers/response_synthesizers.md",
"repo_id": "llama_index",
"token_count": 766
} | 1,148 |
from typing import List, Union
import pytest
from test_utils import MockEncoder
import langchain_experimental.rl_chain.base as base
encoded_keyword = "[encoded]"
@pytest.mark.requires("vowpal_wabbit_next")
def test_simple_context_str_no_emb() -> None:
expected = [{"a_namespace": "test"}]
assert base.embed(... | langchain/libs/experimental/tests/unit_tests/rl_chain/test_rl_chain_base_embedder.py/0 | {
"file_path": "langchain/libs/experimental/tests/unit_tests/rl_chain/test_rl_chain_base_embedder.py",
"repo_id": "langchain",
"token_count": 6465
} | 432 |
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE en-export SYSTEM "http://xml.evernote.com/pub/evernote-export4.dtd">
<en-export export-date="20230611T011239Z" application="Evernote" version="10.56.9">
<note>
<content>
I only have content, no metadata
</content>
</note>
</en-export> | langchain/libs/community/tests/unit_tests/document_loaders/sample_documents/sample_notebook_missingmetadata.enex/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/sample_documents/sample_notebook_missingmetadata.enex",
"repo_id": "langchain",
"token_count": 142
} | 388 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 589,
"logprob": null,
"text": "def"
},
{
"id": 1459,
"logprob": -5.6289062,
"text": " print"
},
{
"id"... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_starcoder/test_flash_starcoder.json",
"repo_id": "text-generation-inference",
"token_count": 1111
} | 395 |
from langchain_community.chat_loaders.facebook_messenger import (
FolderFacebookMessengerChatLoader,
SingleFileFacebookMessengerChatLoader,
)
__all__ = ["SingleFileFacebookMessengerChatLoader", "FolderFacebookMessengerChatLoader"]
| langchain/libs/langchain/langchain/chat_loaders/facebook_messenger.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_loaders/facebook_messenger.py",
"repo_id": "langchain",
"token_count": 66
} | 492 |
python_sources()
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/llama_index/storage/kvstore/dynamodb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/llama_index/storage/kvstore/dynamodb/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,465 |
<jupyter_start><jupyter_text>SingleStoreDB>[SingleStoreDB](https://singlestore.com/) is a high-performance distributed SQL database that supports deployment both in the [cloud](https://www.singlestore.com/cloud/) and on-premises. It provides vector storage, and vector functions including [dot_product](https://docs.sing... | langchain/docs/docs/integrations/retrievers/singlestoredb.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/singlestoredb.ipynb",
"repo_id": "langchain",
"token_count": 683
} | 159 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/pytorch/speech-recognition/README.md/0 | {
"file_path": "transformers/examples/pytorch/speech-recognition/README.md",
"repo_id": "transformers",
"token_count": 14260
} | 526 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-joplin/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-joplin/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,321 |
package writebuffer
import (
"context"
"testing"
"time"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/suite"
"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-... | milvus/internal/datanode/writebuffer/manager_test.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/manager_test.go",
"repo_id": "milvus",
"token_count": 2816
} | 1,711 |
"""Zapier Toolkit."""
| langchain/libs/langchain/langchain/agents/agent_toolkits/zapier/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/zapier/__init__.py",
"repo_id": "langchain",
"token_count": 9
} | 439 |
from __future__ import annotations
from typing import Any, Dict, List, Literal, Optional
from langchain_core.load import Serializable
from langchain_core.utils._merge import merge_dicts
class Generation(Serializable):
"""A single text generation output."""
text: str
"""Generated text output."""
ge... | langchain/libs/core/langchain_core/outputs/generation.py/0 | {
"file_path": "langchain/libs/core/langchain_core/outputs/generation.py",
"repo_id": "langchain",
"token_count": 696
} | 419 |
use std::collections::HashMap;
use candle::quantized::QTensor;
use candle::quantized::{ggml_file, gguf_file};
use candle::{DType, Device, IndexOp, Result, Tensor, D};
use candle_nn::{Embedding, Module};
pub const MAX_SEQ_LEN: usize = 4096;
#[derive(Debug, Clone)]
struct RmsNorm {
inner: candle_nn::LayerNorm,
... | candle/candle-transformers/src/models/quantized_llama.rs/0 | {
"file_path": "candle/candle-transformers/src/models/quantized_llama.rs",
"repo_id": "candle",
"token_count": 11687
} | 67 |
<!--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/quicktour.md/0 | {
"file_path": "transformers/docs/source/it/quicktour.md",
"repo_id": "transformers",
"token_count": 6490
} | 487 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-mongodb/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,526 |
insert_build_performance:
collections:
-
milvus:
db_config.primary_path: /test/milvus/db_data_011/sift_1m_128_128_l2_pq
cache_config.cpu_cache_capacity: 32
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
... | milvus/tests/benchmark/milvus_benchmark/suites/2_insert_build.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/2_insert_build.yaml",
"repo_id": "milvus",
"token_count": 345
} | 1,948 |
# coding=utf-8
# Copyright 2023 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/xmod/convert_xmod_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/xmod/convert_xmod_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4107
} | 745 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/mmap/Utils.h/0 | {
"file_path": "milvus/internal/core/src/mmap/Utils.h",
"repo_id": "milvus",
"token_count": 2434
} | 1,731 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,403 |
import email
import logging
from typing import Dict, List, Union
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
class MHTMLLoader(BaseLoader):
"""Parse `MHTML` files with `BeautifulSoup`."""
def __init__(
... | langchain/libs/community/langchain_community/document_loaders/mhtml.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/mhtml.py",
"repo_id": "langchain",
"token_count": 1241
} | 253 |
import fs from "fs/promises";
import {
ensureAuthOptionScopes,
GoogleAbstractedClient,
GoogleAbstractedClientOps,
} from "../auth.js";
import { JsonStream } from "../utils/stream.js";
import { GoogleAIBaseLLMInput } from "../types.js";
export function mockId(): string {
return `mock-id-${Date.now()}`;
}
expor... | langchainjs/libs/langchain-google-common/src/tests/mock.ts/0 | {
"file_path": "langchainjs/libs/langchain-google-common/src/tests/mock.ts",
"repo_id": "langchainjs",
"token_count": 1051
} | 1,006 |
import pytest
@pytest.fixture(scope="module")
def bloom_560_handle(launcher):
with launcher("bigscience/bloom-560m") as handle:
yield handle
@pytest.fixture(scope="module")
async def bloom_560(bloom_560_handle):
await bloom_560_handle.health(240)
return bloom_560_handle.client
@pytest.mark.asy... | text-generation-inference/integration-tests/models/test_bloom_560m.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_bloom_560m.py",
"repo_id": "text-generation-inference",
"token_count": 752
} | 368 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.file import (
DocxReader,
EpubReader,
FlatReader,
HWPReader,
ImageCaptionReader,
ImageReader,
ImageVisionLLMReader,
IPYNBReader,
MarkdownReader,
MboxReader,
PandasCSVReader,
PDFReader,
PptxR... | llama_index/llama-index-integrations/readers/llama-index-readers-file/tests/test_readers_file.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/tests/test_readers_file.py",
"repo_id": "llama_index",
"token_count": 901
} | 1,496 |
# Susceptible to arbitrary code execution: https://github.com/langchain-ai/langchain/issues/4849
import importlib.util
import json
from pathlib import Path
from typing import Union
import yaml
from langchain.prompts.loading import load_prompt_from_config, try_load_from_hub
from langchain_core.prompts import BasePrompt... | langchain/libs/experimental/langchain_experimental/prompts/load.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/prompts/load.py",
"repo_id": "langchain",
"token_count": 771
} | 423 |
<jupyter_start><jupyter_text>Guideline Evaluator This notebook shows how to use `GuidelineEvaluator` to evaluate a question answer system given user specified guidelines. If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-llms-openai
!pip ins... | llama_index/docs/examples/evaluation/guideline_eval.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/guideline_eval.ipynb",
"repo_id": "llama_index",
"token_count": 1036
} | 1,061 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-multi-tenancy-rag/llama_index/packs/multi_tenancy_rag/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-tenancy-rag/llama_index/packs/multi_tenancy_rag/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,711 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ko/model_doc/llama.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/llama.md",
"repo_id": "transformers",
"token_count": 4406
} | 558 |
# 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/mask2former/test_modeling_mask2former.py/0 | {
"file_path": "transformers/tests/models/mask2former/test_modeling_mask2former.py",
"repo_id": "transformers",
"token_count": 7761
} | 755 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package writebuffer
import (
context "context"
metacache "github.com/milvus-io/milvus/internal/datanode/metacache"
mock "github.com/stretchr/testify/mock"
msgpb "github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
msgstream "github.com/milvus-io/milvus/pkg/mq/... | milvus/internal/datanode/writebuffer/mock_mananger.go/0 | {
"file_path": "milvus/internal/datanode/writebuffer/mock_mananger.go",
"repo_id": "milvus",
"token_count": 5556
} | 1,705 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-hatena-blog/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hatena-blog/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,375 |
from typing import Any, Mapping, Optional
from llama_index.readers.airbyte_cdk.base import AirbyteCDKReader, RecordHandler
class AirbyteZendeskSupportReader(AirbyteCDKReader):
"""AirbyteZendeskSupportReader reader.
Retrieve documents from ZendeskSupport
Args:
config: The config object for the z... | llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-zendesk-support/llama_index/readers/airbyte_zendesk_support/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-zendesk-support/llama_index/readers/airbyte_zendesk_support/base.py",
"repo_id": "llama_index",
"token_count": 305
} | 1,373 |
# 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/llava/modeling_llava.py/0 | {
"file_path": "transformers/src/transformers/models/llava/modeling_llava.py",
"repo_id": "transformers",
"token_count": 11976
} | 706 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/distributed/indexnode/service.go/0 | {
"file_path": "milvus/internal/distributed/indexnode/service.go",
"repo_id": "milvus",
"token_count": 3529
} | 1,797 |
# Cost Analysis
## Concept
Each call to an LLM will cost some amount of money - for instance, OpenAI's gpt-3.5-turbo costs $0.002 / 1k tokens. The cost of building an index and querying depends on
- the type of LLM used
- the type of data structure used
- parameters used during building
- parameters used during quer... | llama_index/docs/understanding/evaluating/cost_analysis/root.md/0 | {
"file_path": "llama_index/docs/understanding/evaluating/cost_analysis/root.md",
"repo_id": "llama_index",
"token_count": 1049
} | 1,129 |
import re
from typing import Any, List
from langchain.evaluation.schema import StringEvaluator
class RegexMatchStringEvaluator(StringEvaluator):
"""Compute a regex match between the prediction and the reference.
Examples
----------
>>> evaluator = RegexMatchStringEvaluator(flags=re.IGNORECASE)
>... | langchain/libs/langchain/langchain/evaluation/regex_match/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/regex_match/base.py",
"repo_id": "langchain",
"token_count": 1023
} | 529 |
import os
from langchain.retrievers.multi_query import MultiQueryRetriever
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Pinecone
from langchain_core.output_parsers import StrOutputParser
from langchain_co... | langchain/templates/rag-pinecone-multi-query/rag_pinecone_multi_query/chain.py/0 | {
"file_path": "langchain/templates/rag-pinecone-multi-query/rag_pinecone_multi_query/chain.py",
"repo_id": "langchain",
"token_count": 716
} | 725 |
<jupyter_start><jupyter_text>AutoGPT example finding Winning Marathon Times* Implementation of https://github.com/Significant-Gravitas/Auto-GPT * With LangChain primitives (LLMs, PromptTemplates, VectorStores, Embeddings, Tools)<jupyter_code># !pip install bs4
# !pip install nest_asyncio
# General
import asyncio
import... | langchain/cookbook/autogpt/marathon_times.ipynb/0 | {
"file_path": "langchain/cookbook/autogpt/marathon_times.ipynb",
"repo_id": "langchain",
"token_count": 3184
} | 75 |
import { collections } from "$lib/server/database";
import { z } from "zod";
import { authCondition } from "$lib/server/auth";
import { DEFAULT_SETTINGS } from "$lib/types/Settings";
export async function POST({ request, locals }) {
const body = await request.json();
const { ethicsModalAccepted, ...settings } = z
... | chat-ui/src/routes/settings/+server.ts/0 | {
"file_path": "chat-ui/src/routes/settings/+server.ts",
"repo_id": "chat-ui",
"token_count": 401
} | 115 |
from llama_index.core.indices.managed.base import BaseManagedIndex
from llama_index.indices.managed.zilliz import ZillizCloudPipelineIndex
def test_class():
names_of_base_classes = [b.__name__ for b in ZillizCloudPipelineIndex.__mro__]
assert BaseManagedIndex.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-zilliz/tests/test_indices_managed_zilliz.py/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-zilliz/tests/test_indices_managed_zilliz.py",
"repo_id": "llama_index",
"token_count": 107
} | 1,273 |
<jupyter_start><jupyter_text>Redis Docstore+Index Store DemoThis guide shows you how to directly use our `DocumentStore` abstraction and `IndexStore` abstraction backed by Redis. By putting nodes in the docstore, this allows you to define multiple indices over the same underlying docstore, instead of duplicating data a... | llama_index/docs/examples/docstore/RedisDocstoreIndexStoreDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/docstore/RedisDocstoreIndexStoreDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1943
} | 1,132 |
from langchain_community.callbacks.openai_info import OpenAICallbackHandler
__all__ = ["OpenAICallbackHandler"]
| langchain/libs/langchain/langchain/callbacks/openai_info.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/openai_info.py",
"repo_id": "langchain",
"token_count": 35
} | 494 |
from llama_index.core.vector_stores.types import BasePydanticVectorStore
from llama_index.vector_stores.astra.base import AstraDBVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in AstraDBVectorStore.__mro__]
assert BasePydanticVectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-astra/tests/test_vector_stores_astra.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-astra/tests/test_vector_stores_astra.py",
"repo_id": "llama_index",
"token_count": 104
} | 1,511 |
// 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/ratelimitutil/rate_collector_test.go/0 | {
"file_path": "milvus/pkg/util/ratelimitutil/rate_collector_test.go",
"repo_id": "milvus",
"token_count": 1627
} | 1,841 |
<jupyter_start><jupyter_text>Knowledge Graph Construction w/ WikiData FilteringIn this notebook, we compare using [REBEL](https://huggingface.co/Babelscape/rebel-large) for knowledge graph construction with and without filtering from wikidata.This is a simplified version, find out more about using wikipedia for filteri... | llama_index/docs/examples/index_structs/knowledge_graph/knowledge_graph2.ipynb/0 | {
"file_path": "llama_index/docs/examples/index_structs/knowledge_graph/knowledge_graph2.ipynb",
"repo_id": "llama_index",
"token_count": 2715
} | 1,189 |
import pytest
@pytest.fixture(scope="module")
def mpt_sharded_handle(launcher):
with launcher("mosaicml/mpt-7b", num_shard=2) as handle:
yield handle
@pytest.fixture(scope="module")
async def mpt_sharded(mpt_sharded_handle):
await mpt_sharded_handle.health(300)
return mpt_sharded_handle.client
... | text-generation-inference/integration-tests/models/test_mpt.py/0 | {
"file_path": "text-generation-inference/integration-tests/models/test_mpt.py",
"repo_id": "text-generation-inference",
"token_count": 525
} | 431 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.