text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
"""Logic for converting internal query language to a valid DashVector query."""
from typing import Tuple, Union
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
Visitor,
)
class DashvectorTranslator(Visitor):
"""Logic for co... | langchain/libs/langchain/langchain/retrievers/self_query/dashvector.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/self_query/dashvector.py",
"repo_id": "langchain",
"token_count": 826
} | 533 |
<jupyter_start><jupyter_text>LongLLMLinguaLongLLMLingua is a research project/paper that presents a new method for prompt compression in the long-context setting.- Paper: https://arxiv.org/abs/2310.06839- Repo: https://github.com/microsoft/LLMLinguaIn this guide, we show how you can seamlessly use prompt compression in... | llama_index/docs/examples/node_postprocessor/LongLLMLingua.ipynb/0 | {
"file_path": "llama_index/docs/examples/node_postprocessor/LongLLMLingua.ipynb",
"repo_id": "llama_index",
"token_count": 1250
} | 1,122 |
from llama_index.llms.langchain.base import LangChainLLM
__all__ = ["LangChainLLM"]
| llama_index/llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-langchain/llama_index/llms/langchain/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,311 |
"""Power BI agent."""
| langchain/libs/community/langchain_community/agent_toolkits/powerbi/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/powerbi/__init__.py",
"repo_id": "langchain",
"token_count": 7
} | 215 |
# coding=utf-8
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/distilbert/test_modeling_distilbert.py/0 | {
"file_path": "transformers/tests/models/distilbert/test_modeling_distilbert.py",
"repo_id": "transformers",
"token_count": 7895
} | 729 |
# Copyright 2021 The EleutherAI and HuggingFace Teams. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | transformers/src/transformers/models/gptj/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/gptj/__init__.py",
"repo_id": "transformers",
"token_count": 1409
} | 647 |
## init
from llama_index.tools.bing_search.base import (
ENDPOINT_BASE_URL,
BingSearchToolSpec,
)
__all__ = ["BingSearchToolSpec", "ENDPOINT_BASE_URL"]
| llama_index/llama-index-integrations/tools/llama-index-tools-bing-search/llama_index/tools/bing_search/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-bing-search/llama_index/tools/bing_search/__init__.py",
"repo_id": "llama_index",
"token_count": 68
} | 1,417 |
<jupyter_start><jupyter_text>InstructPix2Pix: Learning to Follow Image Editing InstructionsA demo notebook for [InstructPix2Pix](https://www.timothybrooks.com/instruct-pix2pix/) using [diffusers](https://github.com/huggingface/diffusers). InstructPix2Pix is fine-tuned stable diffusion model which allows you to edit ima... | notebooks/diffusers/InstructPix2Pix_using_diffusers.ipynb/0 | {
"file_path": "notebooks/diffusers/InstructPix2Pix_using_diffusers.ipynb",
"repo_id": "notebooks",
"token_count": 3610
} | 275 |
from langchain_community.agent_toolkits.nasa.toolkit import NasaToolkit
__all__ = ["NasaToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/nasa/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/nasa/toolkit.py",
"repo_id": "langchain",
"token_count": 34
} | 435 |
import asyncio
from typing import (
Any,
Iterable,
List,
Optional,
Tuple,
)
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
class SurrealDBStore(VectorStore):
"""
SurrealDB as Vector Store.
... | langchain/libs/community/langchain_community/vectorstores/surrealdb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/surrealdb.py",
"repo_id": "langchain",
"token_count": 6920
} | 341 |
import { ChatOpenAI } from "@langchain/openai";
import { HumanMessage } from "@langchain/core/messages";
const extractionFunctionSchema = {
name: "extractor",
description: "Extracts fields from the input.",
parameters: {
type: "object",
properties: {
tone: {
type: "string",
enum: ["... | langchainjs/examples/src/models/chat/openai_functions.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/openai_functions.ts",
"repo_id": "langchainjs",
"token_count": 574
} | 850 |
use candle::{Module, Result, Tensor};
use candle_nn::VarBuilder;
#[derive(Debug, Clone)]
pub struct Embedding {
inner: candle_nn::Embedding,
span: tracing::Span,
}
impl Embedding {
pub fn new(d1: usize, d2: usize, vb: VarBuilder) -> Result<Self> {
let inner = candle_nn::embedding(d1, d2, vb)?;
... | candle/candle-transformers/src/models/with_tracing.rs/0 | {
"file_path": "candle/candle-transformers/src/models/with_tracing.rs",
"repo_id": "candle",
"token_count": 1863
} | 72 |
from langchain_community.document_loaders.parsers.docai import (
DocAIParser,
DocAIParsingResults,
)
__all__ = ["DocAIParsingResults", "DocAIParser"]
| langchain/libs/langchain/langchain/document_loaders/parsers/docai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/parsers/docai.py",
"repo_id": "langchain",
"token_count": 62
} | 511 |
<jupyter_start><jupyter_text>Evaluating Q&A Systems with Dynamic Data[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/testing-examples/dynamic-data/testing_dynamic_data.ipynb)In many real-world scenarios, the correct answer to a question may change over time. For instance, if you're... | langsmith-cookbook/testing-examples/dynamic-data/testing_dynamic_data.ipynb/0 | {
"file_path": "langsmith-cookbook/testing-examples/dynamic-data/testing_dynamic_data.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 2940
} | 1,041 |
#include "flash_fwd_launch_template.h"
void run_mha_fwd(Flash_fwd_params ¶ms, cudaStream_t stream, bool force_split_kernel=false) {
FP16_SWITCH(!params.is_bf16, [&] {
FWD_HEADDIM_SWITCH(params.d, [&] {
// if (params.num_splits <= 1 && !force_split_kernel) { // If we don't set it num_splits ... | candle/candle-flash-attn/kernels/flash_api.cu/0 | {
"file_path": "candle/candle-flash-attn/kernels/flash_api.cu",
"repo_id": "candle",
"token_count": 1722
} | 54 |
import pytest
import yaml
def pytest_addoption(parser):
parser.addoption("--endpoint", action="store", default="http://127.0.0.1:19530", help="endpoint")
parser.addoption("--token", action="store", default="root:Milvus", help="token")
@pytest.fixture
def endpoint(request):
return request.config.getoptio... | milvus/tests/restful_client/conftest.py/0 | {
"file_path": "milvus/tests/restful_client/conftest.py",
"repo_id": "milvus",
"token_count": 144
} | 1,905 |
# `VectorDB Auto-evaluator` :brain: :memo:
**Context**
We previously introduced auto-evaluator, an open-source tool for grading LLM question-answer chains. But this app did not connect to an existing (e.g., production) VectorDB and did not test some interesting architectures for retrieval, such as metadata filtering.... | auto-evaluator/streamlit/README.md/0 | {
"file_path": "auto-evaluator/streamlit/README.md",
"repo_id": "auto-evaluator",
"token_count": 976
} | 3 |
"""Test embedding functionalities."""
from collections import defaultdict
from typing import Any, Dict, List
from unittest.mock import patch
import pytest
from llama_index.core.indices.tree.base import TreeIndex
from llama_index.core.indices.tree.select_leaf_embedding_retriever import (
TreeSelectLeafEmbeddingRet... | llama_index/llama-index-core/tests/indices/tree/test_embedding_retriever.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/tree/test_embedding_retriever.py",
"repo_id": "llama_index",
"token_count": 943
} | 1,266 |
from langchain_openai.llms import __all__
EXPECTED_ALL = ["OpenAI", "AzureOpenAI"]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| langchain/libs/partners/openai/tests/unit_tests/llms/test_imports.py/0 | {
"file_path": "langchain/libs/partners/openai/tests/unit_tests/llms/test_imports.py",
"repo_id": "langchain",
"token_count": 65
} | 678 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/extractors/llama-index-extractors-entity/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/extractors/llama-index-extractors-entity/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,260 |
<jupyter_start><jupyter_text>Awadb Vector Store If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-embeddings-huggingface
%pip install llama-index-vector-stores-awadb
!pip install llama-index<jupyter_output><empty_output><jupyter_text>Creatin... | llama_index/docs/examples/vector_stores/AwadbDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/AwadbDemo.ipynb",
"repo_id": "llama_index",
"token_count": 850
} | 1,144 |
from __future__ import annotations
import logging
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_community.vectorstores.milvus import Milvus
logger = logging.getLogger(__name__)
class Zilliz(Milvus):
"""`Zilliz` vector store.
You need to have ... | langchain/libs/community/langchain_community/vectorstores/zilliz.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/zilliz.py",
"repo_id": "langchain",
"token_count": 3761
} | 335 |
// 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/mq/msgstream/mqwrapper/nmq/nmq_server.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mqwrapper/nmq/nmq_server.go",
"repo_id": "milvus",
"token_count": 1478
} | 2,041 |
from neo4j_cypher.chain import chain
if __name__ == "__main__":
original_query = "Who played in Top Gun?"
print(chain.invoke({"question": original_query})) # noqa: T201
| langchain/templates/neo4j-cypher/main.py/0 | {
"file_path": "langchain/templates/neo4j-cypher/main.py",
"repo_id": "langchain",
"token_count": 64
} | 649 |
# 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/tests/models/mt5/test_modeling_flax_mt5.py/0 | {
"file_path": "transformers/tests/models/mt5/test_modeling_flax_mt5.py",
"repo_id": "transformers",
"token_count": 950
} | 800 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-zephyr-query-engine/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-zephyr-query-engine/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,688 |
"""Question answering over a graph."""
from __future__ import annotations
from typing import Any, Dict, List, Optional
from langchain_community.graphs.networkx_graph import NetworkxEntityGraph, get_entities
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTempl... | langchain/libs/langchain/langchain/chains/graph_qa/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/graph_qa/base.py",
"repo_id": "langchain",
"token_count": 1447
} | 483 |
// 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/server_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/server_test.go",
"repo_id": "milvus",
"token_count": 7880
} | 1,865 |
# coding=utf-8
# Copyright Studio-Ouisa and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | transformers/src/transformers/models/luke/tokenization_luke.py/0 | {
"file_path": "transformers/src/transformers/models/luke/tokenization_luke.py",
"repo_id": "transformers",
"token_count": 38766
} | 685 |
import json
import logging
from typing import List, Optional
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import (
BaseMessage,
message_to_dict,
messages_from_dict,
)
from langchain_community.utilities.redis import get_client
logger = logging.getLogger(__nam... | langchain/libs/community/langchain_community/chat_message_histories/redis.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/redis.py",
"repo_id": "langchain",
"token_count": 835
} | 221 |
from llama_index.embeddings.gemini.base import GeminiEmbedding
__all__ = ["GeminiEmbedding"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gemini/llama_index/embeddings/gemini/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-gemini/llama_index/embeddings/gemini/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,307 |
from langchain_community.utilities.clickup import (
ClickupAPIWrapper,
Component,
CUList,
Member,
Space,
Task,
Team,
)
__all__ = [
"Component",
"Task",
"CUList",
"Member",
"Team",
"Space",
"ClickupAPIWrapper",
]
| langchain/libs/langchain/langchain/utilities/clickup.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/clickup.py",
"repo_id": "langchain",
"token_count": 128
} | 561 |
# LlamaIndex Vector_Stores Integration: Lantern
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-lantern/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,560 |
"""Common classes/functions for tree index operations."""
import asyncio
import logging
from typing import Dict, List, Optional, Sequence, Tuple
from llama_index.core.async_utils import run_async_tasks
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.data_structs.data_str... | llama_index/llama-index-core/llama_index/core/indices/common_tree/base.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/common_tree/base.py",
"repo_id": "llama_index",
"token_count": 4262
} | 1,176 |
# Metric Card for SQuAD
## Metric description
This metric wraps the official scoring script for version 1 of the [Stanford Question Answering Dataset (SQuAD)](https://huggingface.co/datasets/squad).
SQuAD is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles... | datasets/metrics/squad/README.md/0 | {
"file_path": "datasets/metrics/squad/README.md",
"repo_id": "datasets",
"token_count": 1494
} | 134 |
// 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/common/binary_set_c.h/0 | {
"file_path": "milvus/internal/core/src/common/binary_set_c.h",
"repo_id": "milvus",
"token_count": 501
} | 1,725 |
import { ChatOpenAI } from "@langchain/openai";
const model = new ChatOpenAI({
temperature: 0.9,
modelName: "ft:gpt-3.5-turbo-0613:{ORG_NAME}::{MODEL_ID}",
});
const message = await model.invoke("Hi there!");
console.log(message);
/*
AIMessage {
content: 'Hello! How can I assist you today?',
additiona... | langchainjs/examples/src/models/chat/integration_openai_fine_tune.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_openai_fine_tune.ts",
"repo_id": "langchainjs",
"token_count": 138
} | 897 |
# coding=utf-8
# Copyright 2023 Microsoft Research 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/L... | transformers/src/transformers/models/kosmos2/configuration_kosmos2.py/0 | {
"file_path": "transformers/src/transformers/models/kosmos2/configuration_kosmos2.py",
"repo_id": "transformers",
"token_count": 5219
} | 701 |
"""LLM reranker."""
from typing import Callable, List, Optional
from llama_index.core.bridge.pydantic import Field, PrivateAttr
from llama_index.core.indices.utils import (
default_format_node_batch_fn,
default_parse_choice_select_answer_fn,
)
from llama_index.core.llms.llm import LLM
from llama_index.core.pos... | llama_index/llama-index-core/llama_index/core/postprocessor/llm_rerank.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/postprocessor/llm_rerank.py",
"repo_id": "llama_index",
"token_count": 1902
} | 1,164 |
# 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/others/test_image_processor.py/0 | {
"file_path": "diffusers/tests/others/test_image_processor.py",
"repo_id": "diffusers",
"token_count": 5494
} | 281 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/model_summary.md/0 | {
"file_path": "transformers/docs/source/ja/model_summary.md",
"repo_id": "transformers",
"token_count": 9488
} | 522 |
# coding=utf-8
# Copyright 2021, Google and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | transformers/src/transformers/models/pegasus/configuration_pegasus.py/0 | {
"file_path": "transformers/src/transformers/models/pegasus/configuration_pegasus.py",
"repo_id": "transformers",
"token_count": 2966
} | 676 |
<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
xmlns:xhtml="http://www.w3.org/1999/xhtml">
<url>
<loc>https://python.langchain.com/en/stable/</loc>
<lastmod>2023-05-04T16:15:31.377584+00:00</lastmod>
<changefreq>weekly</changefreq>
<priority>1<... | langchain/libs/community/tests/examples/sitemap.xml/0 | {
"file_path": "langchain/libs/community/tests/examples/sitemap.xml",
"repo_id": "langchain",
"token_count": 363
} | 339 |
/*
* Copyright (c) 2010 Arc90 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 agreed t... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/Readability.js",
"repo_id": "llama_index",
"token_count": 35793
} | 1,444 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# AssemblyAI Audio Transcript
This covers how to load audio (and video) transcripts as document objects from a file using the [AssemblyAI API](https://www.assemblyai.com/docs/api-reference/transcript).
## Usage
First, you'll need to ins... | langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/assemblyai_audio_transcription.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/assemblyai_audio_transcription.mdx",
"repo_id": "langchainjs",
"token_count": 538
} | 727 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/segcore/Reduce.h/0 | {
"file_path": "milvus/internal/core/src/segcore/Reduce.h",
"repo_id": "milvus",
"token_count": 1385
} | 1,736 |
import asyncio
from typing import Any, Dict, Tuple
import pytest
from llama_index.legacy.indices.struct_store.base import default_output_parser
from llama_index.legacy.indices.struct_store.sql import SQLStructStoreIndex
from llama_index.legacy.indices.struct_store.sql_query import (
NLSQLTableQueryEngine,
NLSt... | llama_index/llama-index-legacy/tests/indices/struct_store/test_sql_query.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/struct_store/test_sql_query.py",
"repo_id": "llama_index",
"token_count": 2303
} | 1,622 |
"""Tool for the Reddit search API."""
from typing import Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import BaseTool
from langchain_community.utilities.reddit_search import RedditSearchAPIWrapper
cla... | langchain/libs/community/langchain_community/tools/reddit_search/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/reddit_search/tool.py",
"repo_id": "langchain",
"token_count": 761
} | 299 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/llama_index/readers/microsoft_sharepoint/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-sharepoint/llama_index/readers/microsoft_sharepoint/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,400 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.cogniswitch import CogniswitchToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in CogniswitchToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-cogniswitch/tests/test_tools_cogniswitch.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-cogniswitch/tests/test_tools_cogniswitch.py",
"repo_id": "llama_index",
"token_count": 98
} | 1,421 |
# Google MakerSuite
Google's [MakerSuite](https://makersuite.google.com/) is a web-based playground
for creating and saving chat, text, and "data" prompts that work with the
Google PaLM API and model. These prompts include the text, which may include
"test input" that act as template parameters, and parameters for the... | langchainjs/docs/core_docs/docs/ecosystem/integrations/makersuite.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/ecosystem/integrations/makersuite.mdx",
"repo_id": "langchainjs",
"token_count": 1208
} | 715 |
import * as uuid from "uuid";
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { MultiVectorRetriever } from "langchain/retrievers/multi_vector";
import { FaissStore } from "@langchain/community/vectorstores/faiss";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
impor... | langchainjs/examples/src/retrievers/multi_vector_summary.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/multi_vector_summary.ts",
"repo_id": "langchainjs",
"token_count": 869
} | 913 |
import os
import py
import pytest
from langchain_community.document_loaders import GitLoader
def init_repo(tmpdir: py.path.local, dir_name: str) -> str:
from git import Repo
repo_dir = tmpdir.mkdir(dir_name)
repo = Repo.init(repo_dir)
git = repo.git
git.checkout(b="main")
git.config("user.... | langchain/libs/community/tests/unit_tests/document_loaders/test_git.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_git.py",
"repo_id": "langchain",
"token_count": 670
} | 371 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,670 |
"""Neo4j Query Engine Pack."""
from enum import Enum
from typing import Any, Dict, List, Optional
from llama_index.core import (
KnowledgeGraphIndex,
QueryBundle,
ServiceContext,
StorageContext,
VectorStoreIndex,
get_response_synthesizer,
)
from llama_index.core.llama_pack.base import BaseLlam... | llama_index/llama-index-packs/llama-index-packs-neo4j-query-engine/llama_index/packs/neo4j_query_engine/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-neo4j-query-engine/llama_index/packs/neo4j_query_engine/base.py",
"repo_id": "llama_index",
"token_count": 3386
} | 1,858 |
# Dreambooth for the inpainting model
This script was added by @thedarkzeno .
Please note that this script is not actively maintained, you can open an issue and tag @thedarkzeno or @patil-suraj though.
```bash
export MODEL_NAME="runwayml/stable-diffusion-inpainting"
export INSTANCE_DIR="path-to-instance-images"
expo... | diffusers/examples/research_projects/dreambooth_inpaint/README.md/0 | {
"file_path": "diffusers/examples/research_projects/dreambooth_inpaint/README.md",
"repo_id": "diffusers",
"token_count": 1502
} | 214 |
from langchain_community.document_loaders.python import PythonLoader
__all__ = ["PythonLoader"]
| langchain/libs/langchain/langchain/document_loaders/python.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/python.py",
"repo_id": "langchain",
"token_count": 26
} | 536 |
import threading
from types import TracebackType
from typing import Optional, Type
class ReadWriteLock:
"""A lock object that allows many simultaneous "read locks", but
only one "write lock." """
def __init__(self) -> None:
self._read_ready = threading.Condition(threading.RLock())
self._r... | chroma/chromadb/utils/read_write_lock.py/0 | {
"file_path": "chroma/chromadb/utils/read_write_lock.py",
"repo_id": "chroma",
"token_count": 873
} | 28 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/api/pipelines/stable_diffusion/k_diffusion.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/stable_diffusion/k_diffusion.md",
"repo_id": "diffusers",
"token_count": 379
} | 191 |
export * from "@langchain/community/utils/event_source_parse";
| langchainjs/langchain/src/util/event-source-parse.ts/0 | {
"file_path": "langchainjs/langchain/src/util/event-source-parse.ts",
"repo_id": "langchainjs",
"token_count": 18
} | 946 |
"""Test JinaChat wrapper."""
from typing import cast
import pytest
from langchain_core.callbacks import CallbackManager
from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage
from langchain_core.outputs import ChatGeneration, LLMResult
from langchain_core.pydantic_v1 import SecretStr
from pytest... | langchain/libs/community/tests/integration_tests/chat_models/test_jinachat.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_jinachat.py",
"repo_id": "langchain",
"token_count": 2065
} | 319 |
import logging
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
from langchain_community.llms... | langchain/libs/community/langchain_community/llms/predictionguard.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/predictionguard.py",
"repo_id": "langchain",
"token_count": 1822
} | 283 |
---
hide_table_of_contents: true
sidebar_class_name: node-only
---
# Sonix Audio
:::tip Compatibility
Only available on Node.js.
:::
This covers how to load document objects from an audio file using the [Sonix](https://sonix.ai/) API.
## Setup
To run this loader you will need to create an account on the https://so... | langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/sonix_audio_transcription.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/sonix_audio_transcription.mdx",
"repo_id": "langchainjs",
"token_count": 312
} | 705 |
# coding=utf-8
# Copyright 2022 Meta and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | transformers/src/transformers/models/timesformer/modeling_timesformer.py/0 | {
"file_path": "transformers/src/transformers/models/timesformer/modeling_timesformer.py",
"repo_id": "transformers",
"token_count": 15092
} | 701 |
import os
from pathlib import Path
from langchain_community.document_loaders import UnstructuredCSVLoader
EXAMPLE_DIRECTORY = file_path = Path(__file__).parent.parent / "examples"
def test_unstructured_csv_loader() -> None:
"""Test unstructured loader."""
file_path = os.path.join(EXAMPLE_DIRECTORY, "stanley... | langchain/libs/community/tests/integration_tests/document_loaders/test_csv_loader.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_csv_loader.py",
"repo_id": "langchain",
"token_count": 155
} | 347 |
from llama_index.readers.metal.base import MetalReader
__all__ = ["MetalReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-metal/llama_index/readers/metal/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-metal/llama_index/readers/metal/__init__.py",
"repo_id": "llama_index",
"token_count": 26
} | 1,397 |
python_tests()
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-openinference/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-openinference/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,294 |
from __future__ import annotations
import os
from decimal import Decimal
from typing import Any, Dict, List, Set, Tuple
import boto3
from boto3.dynamodb.conditions import Key
from llama_index.core.storage.kvstore.types import DEFAULT_COLLECTION, BaseKVStore
def parse_schema(table: Any) -> Tuple[str, str]:
key_h... | llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/llama_index/storage/kvstore/dynamodb/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/llama_index/storage/kvstore/dynamodb/base.py",
"repo_id": "llama_index",
"token_count": 3079
} | 1,469 |
from langchain.prompts.few_shot_with_templates import __all__
EXPECTED_ALL = ["FewShotPromptWithTemplates"]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/prompts/test_few_shot_with_templates.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/prompts/test_few_shot_with_templates.py",
"repo_id": "langchain",
"token_count": 71
} | 610 |
package integration
import (
"context"
"testing"
"time"
"github.com/stretchr/testify/suite"
)
type QueryNodeV2Suite struct {
suite.Suite
c *MiniClusterV2
}
func (s *QueryNodeV2Suite) SetupSuite() {
ctx := context.Background()
var err error
s.c, err = StartMiniClusterV2(ctx)
s.Require().NoError(err)
tim... | milvus/tests/integration/querynodev2_test.go/0 | {
"file_path": "milvus/tests/integration/querynodev2_test.go",
"repo_id": "milvus",
"token_count": 233
} | 1,949 |
<jupyter_start><jupyter_text>TOML>[TOML](https://en.wikipedia.org/wiki/TOML) is a file format for configuration files. It is intended to be easy to read and write, and is designed to map unambiguously to a dictionary. Its specification is open-source. `TOML` is implemented in many programming languages. The name `TOML`... | langchain/docs/docs/integrations/document_loaders/toml.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/toml.ipynb",
"repo_id": "langchain",
"token_count": 199
} | 123 |
<jupyter_start><jupyter_text>ClientThis is an example client that interacts with the server that has "auth".Please reference appropriate documentation in the server code and in FastAPI to actually make this secure.**ATTENTION** Only the invoke endpoint has been defined by the server! So batch/stream won't work. If you ... | langserve/examples/auth/api_handler/client.ipynb/0 | {
"file_path": "langserve/examples/auth/api_handler/client.ipynb",
"repo_id": "langserve",
"token_count": 526
} | 995 |
// Pytorch also has an implementation of Philox RNG: https://github.com/pytorch/pytorch/blob/8ca3c881db3e3510fcb7725389f6a0633c9b992c/torch/csrc/jit/tensorexpr/cuda_random.h
#pragma once
// Philox CUDA.
namespace flash {
struct ull2 {
unsigned long long x;
unsigned long long y;
};
inline __device__ uint2 mul... | candle/candle-flash-attn/kernels/philox.cuh/0 | {
"file_path": "candle/candle-flash-attn/kernels/philox.cuh",
"repo_id": "candle",
"token_count": 2511
} | 61 |
# Baseten
[Baseten](https://baseten.co) provides all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.
As a model inference platform, Baseten is a `Provider` in the LangChain ecosystem. The Baseten integration currently implements a single `Component`, LLMs, but m... | langchain/docs/docs/integrations/providers/baseten.md/0 | {
"file_path": "langchain/docs/docs/integrations/providers/baseten.md",
"repo_id": "langchain",
"token_count": 941
} | 131 |
# iFixit
>[iFixit](https://www.ifixit.com) is the largest, open repair community on the web. The site contains nearly 100k
> repair manuals, 200k Questions & Answers on 42k devices, and all the data is licensed under `CC-BY-NC-SA 3.0`.
## Installation and Setup
There isn't any special setup for it.
## Document Loa... | langchain/docs/docs/integrations/providers/ifixit.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/ifixit.mdx",
"repo_id": "langchain",
"token_count": 142
} | 139 |
#!/usr/bin/env python
"""Example that shows how to upload files and process files in the server.
This example uses a very simple architecture for dealing with file uploads
and processing.
The main issue with this approach is that processing is done in
the same process rather than offloaded to a process pool. A smalle... | langserve/examples/file_processing/server.py/0 | {
"file_path": "langserve/examples/file_processing/server.py",
"repo_id": "langserve",
"token_count": 636
} | 1,041 |
# Want to name your test runs? Here's how!
You can easily name LangSmith test projects by setting the `project_name` parameter. We recommend including a string identifier for the model/variant you are testing, along with a time-based component so that you can easily tell your test runs apart, e.g."\<prompt-123\> {time... | langsmith-cookbook/testing-examples/naming-test-projects/naming-test-projects.md/0 | {
"file_path": "langsmith-cookbook/testing-examples/naming-test-projects/naming-test-projects.md",
"repo_id": "langsmith-cookbook",
"token_count": 203
} | 1,072 |
<jupyter_start><jupyter_text>Conversation Knowledge GraphThis type of memory uses a knowledge graph to recreate memory. Using memory with LLM<jupyter_code>from langchain.memory import ConversationKGMemory
from langchain_openai import OpenAI
llm = OpenAI(temperature=0)
memory = ConversationKGMemory(llm=llm)
memory.save... | langchain/docs/docs/modules/memory/types/kg.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/memory/types/kg.ipynb",
"repo_id": "langchain",
"token_count": 922
} | 204 |
import { OpenAI } from "@langchain/openai";
import { StructuredOutputParser } from "langchain/output_parsers";
import { PromptTemplate } from "@langchain/core/prompts";
// With a `StructuredOutputParser` we can define a schema for the output.
const parser = StructuredOutputParser.fromNamesAndDescriptions({
answer: "... | langchainjs/examples/src/prompts/structured_parser.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/structured_parser.ts",
"repo_id": "langchainjs",
"token_count": 724
} | 818 |
package planparserv2
import (
"github.com/milvus-io/milvus/internal/proto/planpb"
)
var wildcards = map[byte]struct{}{
// '_': {}, // TODO
'%': {},
}
var escapeCharacter byte = '\\'
// hasWildcards returns true if pattern contains any wildcard.
func hasWildcards(pattern string) bool {
l := len(pattern)
i := l ... | milvus/internal/parser/planparserv2/pattern_match.go/0 | {
"file_path": "milvus/internal/parser/planparserv2/pattern_match.go",
"repo_id": "milvus",
"token_count": 545
} | 2,008 |
import logging
from typing import Optional
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import RESPONSE_TYPE, Response
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.evaluation import BaseEvaluator
from llama_index.cor... | llama_index/llama-index-core/llama_index/core/query_engine/retry_source_query_engine.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_engine/retry_source_query_engine.py",
"repo_id": "llama_index",
"token_count": 1674
} | 1,289 |
<jupyter_start><jupyter_text>Comparing Q&A System Outputs[](https://colab.research.google.com/github/langchain-ai/langsmith-cookbook/blob/main/testing-examples/comparing-runs/comparing-qa.ipynb)The most common way to compare two models is to benchmark them both on a dataset and compare the aggregate metrics.This approa... | langsmith-cookbook/testing-examples/comparing-runs/comparing-qa.ipynb/0 | {
"file_path": "langsmith-cookbook/testing-examples/comparing-runs/comparing-qa.ipynb",
"repo_id": "langsmith-cookbook",
"token_count": 5776
} | 1,013 |
<!--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/unconditional_image_generation.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/unconditional_image_generation.md",
"repo_id": "diffusers",
"token_count": 635
} | 193 |
<jupyter_start><jupyter_text>Hugging Face Local PipelinesHugging Face models can be run locally through the `HuggingFacePipeline` class.The [Hugging Face Model Hub](https://huggingface.co/models) hosts over 120k models, 20k datasets, and 50k demo apps (Spaces), all open source and publicly available, in an online platf... | langchain/docs/docs/integrations/llms/huggingface_pipelines.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/huggingface_pipelines.ipynb",
"repo_id": "langchain",
"token_count": 1237
} | 115 |
from typing import Any, AsyncGenerator, Generator
try:
import litellm
except ImportError:
litellm = None # type: ignore
import pytest
from llama_index.legacy.core.llms.types import ChatMessage
from llama_index.legacy.llms.litellm import LiteLLM
from pytest import MonkeyPatch
from tests.conftest import Cache... | llama_index/llama-index-legacy/tests/llms/test_litellm.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/llms/test_litellm.py",
"repo_id": "llama_index",
"token_count": 2928
} | 1,807 |
import pytest
from langchain.schema import AIMessage, HumanMessage, SystemMessage
from langchain_experimental.chat_models import Vicuna
from tests.unit_tests.chat_models.test_llm_wrapper_llama2chat import FakeLLM
@pytest.fixture
def model() -> Vicuna:
return Vicuna(llm=FakeLLM())
@pytest.fixture
def model_cfg_... | langchain/libs/experimental/tests/unit_tests/chat_models/test_llm_wrapper_vicuna.py/0 | {
"file_path": "langchain/libs/experimental/tests/unit_tests/chat_models/test_llm_wrapper_vicuna.py",
"repo_id": "langchain",
"token_count": 319
} | 431 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/readers/github_readers/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/github_readers/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,518 |
# 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/test_backbone_common.py/0 | {
"file_path": "transformers/tests/test_backbone_common.py",
"repo_id": "transformers",
"token_count": 4375
} | 766 |
# 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/examples/legacy/seq2seq/old_test_seq2seq_examples.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/old_test_seq2seq_examples.py",
"repo_id": "transformers",
"token_count": 2127
} | 581 |
# coding=utf-8
# Copyright 2023 Microsoft 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/phi/convert_phi_weights_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/phi/convert_phi_weights_to_hf.py",
"repo_id": "transformers",
"token_count": 3301
} | 706 |
"""Test Base Schema of documents."""
from typing import Iterator, List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseBlobParser, BaseLoader
from langchain_community.document_loaders.blob_loaders import Blob
def test_base_blob_parser() -> None:
"""Verify ... | langchain/libs/community/tests/unit_tests/document_loaders/test_base.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_base.py",
"repo_id": "langchain",
"token_count": 566
} | 407 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/agent/custom/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/custom/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,485 |
# Information Gain Filtration(IGF)
Authors @Tuko @mraunak
This folder contains the code how to implement IGF for finetuning on GPT-2.
## What is IGF?
Here we present a general fine-tuning method that we call information gain filtration for improving the overall training efficiency and final
performance of language... | transformers/examples/research_projects/information-gain-filtration/README.md/0 | {
"file_path": "transformers/examples/research_projects/information-gain-filtration/README.md",
"repo_id": "transformers",
"token_count": 1456
} | 562 |
import { NodeHandler, ASTParser } from "./base.js";
import { NumericLiteralType } from "./types.js";
/**
* Handler for numeric literal nodes in an abstract syntax tree (AST).
* Extends the NodeHandler class.
*/
export class NumericLiteralHandler extends NodeHandler {
/**
* Checks if a given node is a numeric l... | langchainjs/langchain/src/output_parsers/expression_type_handlers/numeric_literal_handler.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/expression_type_handlers/numeric_literal_handler.ts",
"repo_id": "langchainjs",
"token_count": 425
} | 974 |
"""RWKV models.
Based on https://github.com/saharNooby/rwkv.cpp/blob/master/rwkv/chat_with_bot.py
https://github.com/BlinkDL/ChatRWKV/blob/main/v2/chat.py
"""
from typing import Any, Dict, List, Mapping, Optional, Set
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_... | langchain/libs/community/langchain_community/llms/rwkv.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/rwkv.py",
"repo_id": "langchain",
"token_count": 3437
} | 273 |
from langchain_community.llms.arcee import Arcee
__all__ = ["Arcee"]
| langchain/libs/langchain/langchain/llms/arcee.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/arcee.py",
"repo_id": "langchain",
"token_count": 28
} | 512 |
# 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/utils/check_support_list.py/0 | {
"file_path": "transformers/utils/check_support_list.py",
"repo_id": "transformers",
"token_count": 1443
} | 868 |
""" RepViT
Paper: `RepViT: Revisiting Mobile CNN From ViT Perspective`
- https://arxiv.org/abs/2307.09283
@misc{wang2023repvit,
title={RepViT: Revisiting Mobile CNN From ViT Perspective},
author={Ao Wang and Hui Chen and Zijia Lin and Hengjun Pu and Guiguang Ding},
year={2023},
eprint={23... | pytorch-image-models/timm/models/repvit.py/0 | {
"file_path": "pytorch-image-models/timm/models/repvit.py",
"repo_id": "pytorch-image-models",
"token_count": 8357
} | 367 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-konko/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-konko/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,354 |
import unittest
from langchain_community.document_loaders.rspace import RSpaceLoader
class TestRSpaceLoader(unittest.TestCase):
url = "https://community.researchspace.com"
api_key = "myapikey"
global_id = "SD12345"
def test_valid_arguments(self) -> None:
loader = RSpaceLoader(
ur... | langchain/libs/community/tests/unit_tests/document_loaders/test_rspace_loader.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_rspace_loader.py",
"repo_id": "langchain",
"token_count": 591
} | 371 |
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