text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from langchain_community.document_loaders.srt import SRTLoader
__all__ = ["SRTLoader"]
| langchain/libs/langchain/langchain/document_loaders/srt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/srt.py",
"repo_id": "langchain",
"token_count": 29
} | 517 |
import pytest
from langchain_core.documents import Document
from langchain_community.document_loaders import XorbitsLoader
try:
import xorbits # noqa: F401
xorbits_installed = True
except ImportError:
xorbits_installed = False
@pytest.mark.skipif(not xorbits_installed, reason="xorbits not installed")
... | langchain/libs/community/tests/integration_tests/document_loaders/test_xorbits.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_xorbits.py",
"repo_id": "langchain",
"token_count": 826
} | 348 |
"""Test LLM Bash functionality."""
import sys
import pytest
from langchain.schema import OutputParserException
from langchain_experimental.llm_bash.base import LLMBashChain
from langchain_experimental.llm_bash.prompt import _PROMPT_TEMPLATE, BashOutputParser
from tests.unit_tests.fake_llm import FakeLLM
_SAMPLE_COD... | langchain/libs/experimental/tests/unit_tests/test_llm_bash.py/0 | {
"file_path": "langchain/libs/experimental/tests/unit_tests/test_llm_bash.py",
"repo_id": "langchain",
"token_count": 1028
} | 459 |
"""Test Tracer classes."""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any, List
from uuid import uuid4
import pytest
from freezegun import freeze_time
from langchain_core.callbacks import CallbackManager
from langchain_core.messages import HumanMessage
from langchai... | langchain/libs/core/tests/unit_tests/tracers/test_base_tracer.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/tracers/test_base_tracer.py",
"repo_id": "langchain",
"token_count": 11548
} | 432 |
from llama_index.readers.apify.actor.base import ApifyActor
from llama_index.readers.apify.dataset.base import ApifyDataset
__all__ = ["ApifyActor", "ApifyDataset"]
| llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-apify/llama_index/readers/apify/__init__.py",
"repo_id": "llama_index",
"token_count": 62
} | 1,376 |
<!--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/en/testing.md/0 | {
"file_path": "transformers/docs/source/en/testing.md",
"repo_id": "transformers",
"token_count": 13408
} | 500 |
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Extra
class QuantizedBiEncoderEmbeddings(BaseModel, Embeddings):
"""Quantized bi-encoders embedding models.
Please ensure that you have installed optimum-intel and ... | langchain/libs/community/langchain_community/embeddings/optimum_intel.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/optimum_intel.py",
"repo_id": "langchain",
"token_count": 3362
} | 260 |
"""Module to test generic parsers."""
from typing import Iterator
import pytest
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseBlobParser
from langchain_community.document_loaders.blob_loaders import Blob
from langchain_community.document_loaders.parsers.gener... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/test_generic.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/test_generic.py",
"repo_id": "langchain",
"token_count": 1539
} | 366 |
import { test, expect } from "@jest/globals";
import { SyntheticEmbeddings } from "@langchain/core/utils/testing";
test("Synthetic basic", async () => {
const embed = new SyntheticEmbeddings({ vectorSize: 5 });
const vector = await embed.embedQuery("aaaaaaaaaa");
expect(vector).toHaveLength(5);
expect(vector[0... | langchainjs/langchain/src/embeddings/tests/fake.test.ts/0 | {
"file_path": "langchainjs/langchain/src/embeddings/tests/fake.test.ts",
"repo_id": "langchainjs",
"token_count": 501
} | 915 |
from llama_index.legacy.vector_stores.google.generativeai import set_google_config
from .base import GoogleIndex
__all__ = [
"set_google_config",
"GoogleIndex",
]
| llama_index/llama-index-legacy/llama_index/legacy/indices/managed/google/generativeai/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/managed/google/generativeai/__init__.py",
"repo_id": "llama_index",
"token_count": 61
} | 1,519 |
# coding=utf-8
# Copyright 2024 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... | diffusers/utils/custom_init_isort.py/0 | {
"file_path": "diffusers/utils/custom_init_isort.py",
"repo_id": "diffusers",
"token_count": 5345
} | 284 |
import { ChatOpenAI } from "@langchain/openai";
import { HttpResponseOutputParser } from "langchain/output_parsers";
const handler = async () => {
const parser = new HttpResponseOutputParser({
contentType: "text/event-stream",
});
const model = new ChatOpenAI({ temperature: 0 });
// Values are stringifie... | langchainjs/examples/src/prompts/http_response_output_parser_event_stream.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/http_response_output_parser_event_stream.ts",
"repo_id": "langchainjs",
"token_count": 194
} | 835 |
# Create Index
`Index system` is the core part of `Milvus`, which is used to speed up the searches, this document introduces which components are involved in `Create Index`,and what these components do.
The execution flow of `Create Index` is shown in the following figure:
![create_index](./graphs/milvus_create_inde... | milvus/docs/design_docs/20211227-milvus_create_index.md/0 | {
"file_path": "milvus/docs/design_docs/20211227-milvus_create_index.md",
"repo_id": "milvus",
"token_count": 2863
} | 1,767 |
kind: StressChaos
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-querynode-memory-stress
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/name: milvus
app.kubernetes.io/instance: mic-memory
app.kubernetes.io/component:... | milvus/tests/python_client/chaos/chaos_objects/memory_stress/chaos_querynode_memory_stress.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/memory_stress/chaos_querynode_memory_stress.yaml",
"repo_id": "milvus",
"token_count": 181
} | 2,106 |
module.exports = {
extends: [
"airbnb-base",
"eslint:recommended",
"prettier",
"plugin:@typescript-eslint/recommended",
],
parserOptions: {
ecmaVersion: 12,
parser: "@typescript-eslint/parser",
sourceType: "module",
},
plugins: ["@typescript-eslint", "unused-imports"],
rules: {
... | langchainjs/examples/.eslintrc.cjs/0 | {
"file_path": "langchainjs/examples/.eslintrc.cjs",
"repo_id": "langchainjs",
"token_count": 639
} | 776 |
<!--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/main_classes/agent.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/agent.md",
"repo_id": "transformers",
"token_count": 1455
} | 488 |
from typing import Callable, Optional, Union
from uuid import UUID
from langchain_core.runnables.config import (
RunnableConfig,
call_func_with_variable_args,
)
from langchain_core.tracers.base import BaseTracer
from langchain_core.tracers.schemas import Run
Listener = Union[Callable[[Run], None], Callable[[R... | langchain/libs/core/langchain_core/tracers/root_listeners.py/0 | {
"file_path": "langchain/libs/core/langchain_core/tracers/root_listeners.py",
"repo_id": "langchain",
"token_count": 745
} | 399 |
"""ClickHouse vector store.
An index that is built on top of an existing ClickHouse cluster.
"""
import importlib
import json
import logging
import re
from typing import Any, Dict, List, Optional, cast
from pydantic import PrivateAttr
from llama_index.core import ServiceContext
from llama_index.core.schema import (... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/llama_index/vector_stores/clickhouse/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-clickhouse/llama_index/vector_stores/clickhouse/base.py",
"repo_id": "llama_index",
"token_count": 7228
} | 1,520 |
from .testing import (
are_the_same_tensors,
assert_exception,
device_count,
execute_subprocess_async,
memory_allocated_func,
require_bnb,
require_cpu,
require_cuda,
require_huggingface_suite,
require_mps,
require_multi_device,
require_multi_gpu,
require_multi_xpu,
... | accelerate/src/accelerate/test_utils/__init__.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/__init__.py",
"repo_id": "accelerate",
"token_count": 320
} | 13 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-recursive-retriever/llama_index/packs/recursive_retriever/small_to_big/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-recursive-retriever/llama_index/packs/recursive_retriever/small_to_big/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,587 |
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
// import all entrypoints to test, do not do this in your own app
import "../../entrypoints.js";
// Import a few things we'll use to test the exports
import { LLMChain } from "langchain/chains";
import { ChatOpenAI } from "langchain/chat_mo... | langchainjs/environment_tests/test-exports-vercel/src/pages/api/hello-serverless.ts/0 | {
"file_path": "langchainjs/environment_tests/test-exports-vercel/src/pages/api/hello-serverless.ts",
"repo_id": "langchainjs",
"token_count": 488
} | 763 |
# coding=utf-8
# Copyright 2023 The Intel AIA Team Authors, and 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/lice... | transformers/src/transformers/models/tvp/processing_tvp.py/0 | {
"file_path": "transformers/src/transformers/models/tvp/processing_tvp.py",
"repo_id": "transformers",
"token_count": 2826
} | 664 |
import { createOpenAPIChain } from "langchain/chains";
const chain = await createOpenAPIChain(
"https://gist.githubusercontent.com/roaldnefs/053e505b2b7a807290908fe9aa3e1f00/raw/0a212622ebfef501163f91e23803552411ed00e4/openapi.yaml"
);
const result = await chain.run(`What's today's comic?`);
console.log(JSON.string... | langchainjs/examples/src/chains/openai_functions_openapi_simple.ts/0 | {
"file_path": "langchainjs/examples/src/chains/openai_functions_openapi_simple.ts",
"repo_id": "langchainjs",
"token_count": 309
} | 762 |
import pytest
import pymilvus
from common import common_func as cf
from common import common_type as ct
from common.common_type import CaseLabel, CheckTasks
from common.milvus_sys import MilvusSys
from utils.util_pymilvus import *
from deploy.base import TestDeployBase
from deploy.common import gen_index_param, gen_sea... | milvus/tests/python_client/deploy/testcases/test_action_first_deployment.py/0 | {
"file_path": "milvus/tests/python_client/deploy/testcases/test_action_first_deployment.py",
"repo_id": "milvus",
"token_count": 4678
} | 1,970 |
from langchain_community.utilities.tavily_search import TavilySearchAPIWrapper
def test_api_wrapper_api_key_not_visible() -> None:
"""Test that an exception is raised if the API key is not present."""
wrapper = TavilySearchAPIWrapper(tavily_api_key="abcd123")
assert "abcd123" not in repr(wrapper)
| langchain/libs/community/tests/unit_tests/utilities/test_tavily.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/utilities/test_tavily.py",
"repo_id": "langchain",
"token_count": 103
} | 406 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["ElasticsearchStore"]
contains_example = false
import_path = "llama_index.vector_stores.el... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-elasticsearch/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-elasticsearch/pyproject.toml",
"repo_id": "llama_index",
"token_count": 652
} | 1,481 |
<jupyter_start><jupyter_code>import openai
openai.api_key = "sk-you-key"
from llama_index.agent import OpenAIAgent
from llama_index.llms import OpenAI
# Import and initialize our tool spec
from llama_index.tools.zapier.base import ZapierToolSpec
zapier_spec = ZapierToolSpec(api_key="sk-ak-your-key")
tools = zapier_sp... | llama_index/llama-index-integrations/tools/llama-index-tools-zapier/examples/zapier.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-zapier/examples/zapier.ipynb",
"repo_id": "llama_index",
"token_count": 709
} | 1,644 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.... | datasets/metrics/accuracy/accuracy.py/0 | {
"file_path": "datasets/metrics/accuracy/accuracy.py",
"repo_id": "datasets",
"token_count": 1611
} | 116 |
// 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/params/params.go/0 | {
"file_path": "milvus/internal/querycoordv2/params/params.go",
"repo_id": "milvus",
"token_count": 650
} | 1,981 |
from llama_index.retrievers.bm25.base import BM25Retriever
__all__ = ["BM25Retriever"]
| llama_index/llama-index-integrations/retrievers/llama-index-retrievers-bm25/llama_index/retrievers/bm25/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/retrievers/llama-index-retrievers-bm25/llama_index/retrievers/bm25/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,446 |
/* eslint-disable */
/**
* Generated data model types.
*
* THIS CODE IS AUTOMATICALLY GENERATED.
*
* Generated by convex@1.3.1.
* To regenerate, run `npx convex dev`.
* @module
*/
import type { DataModelFromSchemaDefinition } from "convex/server";
import type { DocumentByName, TableNamesInDataModel } from "con... | langchainjs/libs/langchain-community/src/vectorstores/tests/convex/convex/_generated/dataModel.d.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/convex/convex/_generated/dataModel.d.ts",
"repo_id": "langchainjs",
"token_count": 502
} | 970 |
- title: Unit 0. Welcome to the course
sections:
- local: unit0/introduction
title: Welcome to the course 🤗
- local: unit0/setup
title: Setup
- local: unit0/discord101
title: Discord 101
- title: Unit 1. Introduction to Deep Reinforcement Learning
sections:
- local: unit1/introduction
title... | deep-rl-class/units/en/_toctree.yml/0 | {
"file_path": "deep-rl-class/units/en/_toctree.yml",
"repo_id": "deep-rl-class",
"token_count": 2743
} | 161 |
# for backward compatibility
from llama_index.legacy.postprocessor import (
AutoPrevNextNodePostprocessor,
CohereRerank,
EmbeddingRecencyPostprocessor,
FixedRecencyPostprocessor,
KeywordNodePostprocessor,
LLMRerank,
LongContextReorder,
LongLLMLinguaPostprocessor,
MetadataReplacementP... | llama_index/llama-index-legacy/llama_index/legacy/indices/postprocessor.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/postprocessor.py",
"repo_id": "llama_index",
"token_count": 387
} | 1,500 |
{ "embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {} }
| llama_index/llama-index-core/storage/default__vector_store.json/0 | {
"file_path": "llama_index/llama-index-core/storage/default__vector_store.json",
"repo_id": "llama_index",
"token_count": 32
} | 1,153 |
<jupyter_start><jupyter_text>Bash chainThis notebook showcases using LLMs and a bash process to perform simple filesystem commands.<jupyter_code>from langchain_experimental.llm_bash.base import LLMBashChain
from langchain_openai import OpenAI
llm = OpenAI(temperature=0)
text = "Please write a bash script that prints ... | langchain/cookbook/llm_bash.ipynb/0 | {
"file_path": "langchain/cookbook/llm_bash.ipynb",
"repo_id": "langchain",
"token_count": 1113
} | 79 |
//load Candle Bert Module wasm module
let init, ModelEncoder;
async function fetchArrayBuffer(url) {
const cacheName = "t5-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
if (cachedResponse) {
const data = await cachedResponse.arrayBuffer();
ret... | candle/candle-wasm-examples/t5/T5ModelEncoderWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/t5/T5ModelEncoderWorker.js",
"repo_id": "candle",
"token_count": 873
} | 78 |
#!/bin/bash
if [[ -z "${HF_MODEL_ID}" ]]; then
echo "HF_MODEL_ID must be set"
exit 1
fi
export MODEL_ID="${HF_MODEL_ID}"
if [[ -n "${HF_MODEL_REVISION}" ]]; then
export REVISION="${HF_MODEL_REVISION}"
fi
if [[ -n "${SM_NUM_GPUS}" ]]; then
export NUM_SHARD="${SM_NUM_GPUS}"
fi
if [[ -n "${HF_MODEL_QUANTIZE}" ... | text-generation-inference/sagemaker-entrypoint.sh/0 | {
"file_path": "text-generation-inference/sagemaker-entrypoint.sh",
"repo_id": "text-generation-inference",
"token_count": 239
} | 394 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/file_utils.py/0 | {
"file_path": "transformers/src/transformers/file_utils.py",
"repo_id": "transformers",
"token_count": 1564
} | 621 |
from langchain_community.retrievers.wikipedia import WikipediaRetriever
__all__ = ["WikipediaRetriever"]
| langchain/libs/langchain/langchain/retrievers/wikipedia.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/wikipedia.py",
"repo_id": "langchain",
"token_count": 29
} | 540 |
<!--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/ja/model_doc/conditional_detr.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/conditional_detr.md",
"repo_id": "transformers",
"token_count": 1847
} | 493 |
# coding=utf-8
# 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 requir... | transformers/src/transformers/models/clvp/convert_clvp_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/clvp/convert_clvp_to_hf.py",
"repo_id": "transformers",
"token_count": 4095
} | 620 |
# 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/splinter/test_modeling_splinter.py/0 | {
"file_path": "transformers/tests/models/splinter/test_modeling_splinter.py",
"repo_id": "transformers",
"token_count": 9643
} | 750 |
# candle-whisper: speech recognition
An implementation of [OpenAI Whisper](https://github.com/openai/whisper) using
candle. Whisper is a general purpose speech recognition model, it can be used to
convert audio files (in the `.wav` format) to text. Supported features include
language detection as well as multilingual ... | candle/candle-examples/examples/whisper/README.md/0 | {
"file_path": "candle/candle-examples/examples/whisper/README.md",
"repo_id": "candle",
"token_count": 569
} | 52 |
<!--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/en/chat_templating.md/0 | {
"file_path": "transformers/docs/source/en/chat_templating.md",
"repo_id": "transformers",
"token_count": 6715
} | 466 |
"""Test LLM saving and loading functions."""
from pathlib import Path
from unittest.mock import patch
from langchain_community.llms.loading import load_llm
from tests.unit_tests.llms.fake_llm import FakeLLM
@patch(
"langchain_community.llms.loading.get_type_to_cls_dict",
lambda: {"fake": lambda: FakeLLM},
)
... | langchain/libs/community/tests/unit_tests/llms/test_loading.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/llms/test_loading.py",
"repo_id": "langchain",
"token_count": 229
} | 409 |
import { Ai } from "@cloudflare/ai";
import { Fetcher } from "@cloudflare/workers-types";
import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
import { chunkArray } from "@langchain/core/utils/chunk_array";
type AiTextEmbeddingsInput = {
text: string | string[];
};
type AiTextEmbeddingsOutput ... | langchainjs/libs/langchain-cloudflare/src/embeddings.ts/0 | {
"file_path": "langchainjs/libs/langchain-cloudflare/src/embeddings.ts",
"repo_id": "langchainjs",
"token_count": 968
} | 1,045 |
# 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/experimental/rl/value_guided_sampling.py/0 | {
"file_path": "diffusers/src/diffusers/experimental/rl/value_guided_sampling.py",
"repo_id": "diffusers",
"token_count": 2639
} | 236 |
<jupyter_start><jupyter_text>---sidebar_position: 0title: Prompt + LLM---<jupyter_code>The most common and valuable composition is taking:
``PromptTemplate`` / ``ChatPromptTemplate`` -> ``LLM`` / ``ChatModel`` -> ``OutputParser``
Almost any other chains you build will use this building block.
## PromptTemplate + LLM
... | langchain/docs/docs/expression_language/cookbook/prompt_llm_parser.ipynb/0 | {
"file_path": "langchain/docs/docs/expression_language/cookbook/prompt_llm_parser.ipynb",
"repo_id": "langchain",
"token_count": 1397
} | 89 |
use candle::{CpuStorage, Layout, Result, Shape, Tensor};
use rayon::prelude::*;
/// Applies the softmax function to the input tensor, rescaling the element so that elements on
/// a slice of fixed index on dimension `dim` are between 0 and 1 and sum to 1.
///
/// ```rust
/// use candle::{Tensor, Device, test_utils::to... | candle/candle-nn/src/ops.rs/0 | {
"file_path": "candle/candle-nn/src/ops.rs",
"repo_id": "candle",
"token_count": 5205
} | 64 |
from typing import Optional, Sequence, TypeVar, Type
from abc import abstractmethod
from chromadb.types import (
Collection,
MetadataEmbeddingRecord,
Operation,
VectorEmbeddingRecord,
Where,
WhereDocument,
VectorQuery,
VectorQueryResult,
Segment,
SeqId,
Metadata,
)
from chrom... | chroma/chromadb/segment/__init__.py/0 | {
"file_path": "chroma/chromadb/segment/__init__.py",
"repo_id": "chroma",
"token_count": 1497
} | 21 |
---
sidebar_class_name: node-only
hide_table_of_contents: true
---
# GitHub
This example goes over how to load data from a GitHub repository.
You can set the `GITHUB_ACCESS_TOKEN` environment variable to a GitHub access token to increase the rate limit and access private repositories.
## Setup
The GitHub loader req... | langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/github.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/web_loaders/github.mdx",
"repo_id": "langchainjs",
"token_count": 651
} | 728 |
# Predibase
Learn how to use LangChain with models on Predibase.
## Setup
- Create a [Predibase](https://predibase.com/) account and [API key](https://docs.predibase.com/sdk-guide/intro).
- Install the Predibase Python client with `pip install predibase`
- Use your API key to authenticate
### LLM
Predibase integra... | langchain/docs/docs/integrations/providers/predibase.md/0 | {
"file_path": "langchain/docs/docs/integrations/providers/predibase.md",
"repo_id": "langchain",
"token_count": 254
} | 145 |
from io import StringIO
from typing import Any, Callable, List, Optional
import pandas as pd
from llama_index.legacy.node_parser.relational.base_element import (
BaseElementNodeParser,
Element,
)
from llama_index.legacy.schema import BaseNode, TextNode
def md_to_df(md_str: str) -> pd.DataFrame:
"""Conve... | llama_index/llama-index-legacy/llama_index/legacy/node_parser/relational/markdown_element.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/node_parser/relational/markdown_element.py",
"repo_id": "llama_index",
"token_count": 4732
} | 1,584 |
import { Client, ClientConfiguration, HubPushOptions } from "langchainhub";
import { Runnable } from "@langchain/core/runnables";
import { load } from "./load/index.js";
/**
* Push a prompt to the hub.
* If the specified repo doesn't already exist, it will be created.
* @param repoFullName The full name of the repo... | langchainjs/langchain/src/hub.ts/0 | {
"file_path": "langchainjs/langchain/src/hub.ts",
"repo_id": "langchainjs",
"token_count": 321
} | 964 |
/*
* Adapted from
* https://github.com/NVIDIA/FasterTransformer/blob/release/v5.3_tag/src/fastertransformer/kernels/reduce_kernel_utils.cuh
* Copyright (c) 2023, The vLLM team.
* Copyright (c) 2020-2023, NVIDIA CORPORATION. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
... | candle/candle-examples/examples/custom-ops/kernels/reduction_utils.cuh/0 | {
"file_path": "candle/candle-examples/examples/custom-ops/kernels/reduction_utils.cuh",
"repo_id": "candle",
"token_count": 529
} | 36 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-milvus/llama_index/readers/milvus/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-milvus/llama_index/readers/milvus/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,430 |
from langgraph.utils import StrEnum
class ReservedChannels(StrEnum):
"""Channels managed by the framework."""
is_last_step = "is_last_step"
"""A channel that is True if the current step is the last step, False otherwise."""
| langgraph/langgraph/pregel/reserved.py/0 | {
"file_path": "langgraph/langgraph/pregel/reserved.py",
"repo_id": "langgraph",
"token_count": 74
} | 1,035 |
package tso
import (
"time"
)
// TODO(longjiquan): replace this by mockery.
type MockAllocator struct {
Allocator
InitializeF func() error
UpdateTSOF func() error
SetTSOF func(tso uint64) error
GenerateTSOF func(count uint32) (uint64, error)
ResetF func()
GetLastSavedTi... | milvus/internal/tso/mock_global_allocator.go/0 | {
"file_path": "milvus/internal/tso/mock_global_allocator.go",
"repo_id": "milvus",
"token_count": 368
} | 1,791 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::{test_utils::to_vec3_round, Device, Result, Tensor};
#[test]
fn softmax() -> Result<()> {
let device = &Device::Cpu;
let data = &[[[3f32, 1., 4.], [1., 5., 9.]], [[2., 1., 7.], [8., 2.,... | candle/candle-nn/tests/ops.rs/0 | {
"file_path": "candle/candle-nn/tests/ops.rs",
"repo_id": "candle",
"token_count": 1170
} | 59 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 330,
"logprob": null,
"text": "ir"
},
{
"id": 1622,
"logprob": -7.8125,
"text": "af"
},
{
"id": 249,
... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_all_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_all_params.json",
"repo_id": "text-generation-inference",
"token_count": 1204
} | 399 |
from __future__ import annotations
from typing import Any, Dict, List, Type
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.language_models import BaseLanguageModel
from langchain_core.messages import BaseMessage, SystemMessage, get_buffer_string
from langchain_core.prompts import B... | langchain/libs/langchain/langchain/memory/summary.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/summary.py",
"repo_id": "langchain",
"token_count": 1364
} | 524 |
<script lang="ts">
import { marked } from "marked";
import privacy from "../../../PRIVACY.md?raw";
</script>
<div class="overflow-auto p-6">
<div class="prose mx-auto px-4 pb-24 pt-6 dark:prose-invert md:pt-12">
<!-- eslint-disable-next-line svelte/no-at-html-tags -->
{@html marked(privacy, { gfm: true })}
</d... | chat-ui/src/routes/privacy/+page.svelte/0 | {
"file_path": "chat-ui/src/routes/privacy/+page.svelte",
"repo_id": "chat-ui",
"token_count": 141
} | 102 |
# Dataset features
[`Features`] defines the internal structure of a dataset. It is used to specify the underlying serialization format. What's more interesting to you though is that [`Features`] contains high-level information about everything from the column names and types, to the [`ClassLabel`]. You can think of [`... | datasets/docs/source/about_dataset_features.mdx/0 | {
"file_path": "datasets/docs/source/about_dataset_features.mdx",
"repo_id": "datasets",
"token_count": 2334
} | 110 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-sentence-window-retriever/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-sentence-window-retriever/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,728 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/whisper/test_processor_whisper.py/0 | {
"file_path": "transformers/tests/models/whisper/test_processor_whisper.py",
"repo_id": "transformers",
"token_count": 2869
} | 758 |
<jupyter_start><jupyter_text>Huggingface Sagemaker-sdk - Distributed Training Demo Distributed Question Answering with `transformers` scripts + `Trainer` and `squad` dataset 1. [Introduction](Introduction) 2. [Development Environment and Permissions](Development-Environment-and-Permissions) 1. [Installation](Insta... | notebooks/sagemaker/03_distributed_training_data_parallelism/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/03_distributed_training_data_parallelism/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 3514
} | 316 |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# 웹 서버를 위한 파이프라인 사용하기[[using_pipelines_for_a_webserver]]
<Tip>
추론 엔진을 만드는 것은 복잡한 주제이며, "최선의" 솔루션은 문제 공간에 따라 달라질 가능성이 높습니다. CPU 또는 GPU를 사용하는지에 따라 다르고... | transformers/docs/source/ko/pipeline_webserver.md/0 | {
"file_path": "transformers/docs/source/ko/pipeline_webserver.md",
"repo_id": "transformers",
"token_count": 6174
} | 506 |
// Copyright (C) 2019-2023 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/simd/sse2.h/0 | {
"file_path": "milvus/internal/core/src/simd/sse2.h",
"repo_id": "milvus",
"token_count": 664
} | 1,803 |
"""Azure CosmosDB Memory History."""
from __future__ import annotations
import logging
from types import TracebackType
from typing import TYPE_CHECKING, Any, List, Optional, Type
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import (
BaseMessage,
messages_from_dic... | langchain/libs/community/langchain_community/chat_message_histories/cosmos_db.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/cosmos_db.py",
"repo_id": "langchain",
"token_count": 2783
} | 221 |
export * from "@langchain/community/retrievers/vespa";
| langchainjs/langchain/src/retrievers/vespa.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/vespa.ts",
"repo_id": "langchainjs",
"token_count": 17
} | 963 |
# 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/utils/accelerate_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/accelerate_utils.py",
"repo_id": "diffusers",
"token_count": 558
} | 274 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.python_file import PythonFileToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in PythonFileToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-python-file/tests/test_tools_python_file.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-python-file/tests/test_tools_python_file.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,525 |
# Copyright 2022 - Intel Corp. All rights reserved.
# Authors: Mayank Kumar Raunak, Javier Turek, Nicole Backage
import copy
import logging
import random
import joblib
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
from transformers import AdamW, G... | transformers/examples/research_projects/information-gain-filtration/igf/igf.py/0 | {
"file_path": "transformers/examples/research_projects/information-gain-filtration/igf/igf.py",
"repo_id": "transformers",
"token_count": 6107
} | 543 |
python_tests()
| llama_index/llama-index-integrations/program/llama-index-program-openai/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/program/llama-index-program-openai/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,272 |
"""Google Search tool spec."""
import urllib.parse
from typing import Optional
import requests
from llama_index.core.schema import Document
from llama_index.core.tools.tool_spec.base import BaseToolSpec
QUERY_URL_TMPL = (
"https://www.googleapis.com/customsearch/v1?key={key}&cx={engine}&q={query}"
)
class Goog... | llama_index/llama-index-integrations/tools/llama-index-tools-google/llama_index/tools/google/search/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-google/llama_index/tools/google/search/base.py",
"repo_id": "llama_index",
"token_count": 586
} | 1,425 |
from __future__ import annotations
from typing import Any, Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from langchain_community.utilities.brave_search import BraveSearchWrapper
class BraveSearch(BaseTool):
"""Tool that queries the BraveSearc... | langchain/libs/community/langchain_community/tools/brave_search/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/brave_search/tool.py",
"repo_id": "langchain",
"token_count": 529
} | 293 |
<jupyter_start><jupyter_text>LoRAs of the World Unite - Training SOTA DreamBooth LoRA with Pivotal Tuning 🧨In this notebook, we show how to fine-tune [Stable Diffusion XL (SDXL)](https://huggingface.co/docs/diffusers/main/en/api/pipelines/stable_diffusion/stable_diffusion_xl) with [DreamBooth](https://huggingface.co/d... | notebooks/diffusers/SDXL_Dreambooth_LoRA_advanced_example.ipynb/0 | {
"file_path": "notebooks/diffusers/SDXL_Dreambooth_LoRA_advanced_example.ipynb",
"repo_id": "notebooks",
"token_count": 6610
} | 313 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-s3/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-s3/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,414 |
from langchain_core.documents import Document
from langchain_exa import ExaSearchRetriever
def test_exa_retriever() -> None:
retriever = ExaSearchRetriever()
res = retriever.invoke("best time to visit japan")
print(res) # noqa: T201
assert len(res) == 10 # default k
assert isinstance(res, list)... | langchain/libs/partners/exa/tests/integration_tests/test_retriever.py/0 | {
"file_path": "langchain/libs/partners/exa/tests/integration_tests/test_retriever.py",
"repo_id": "langchain",
"token_count": 323
} | 682 |
import os
from typing import List, Tuple
from langchain.agents import AgentExecutor
from langchain.agents.format_scratchpad import format_to_openai_function_messages
from langchain.agents.output_parsers import OpenAIFunctionsAgentOutputParser
from langchain_community.chat_models import ChatOpenAI
from langchain_commun... | langchain/templates/openai-functions-agent-gmail/openai_functions_agent/agent.py/0 | {
"file_path": "langchain/templates/openai-functions-agent-gmail/openai_functions_agent/agent.py",
"repo_id": "langchain",
"token_count": 1095
} | 681 |
/* eslint-disable */
// tslint:disable
/**
* FastAPI
*
*
* OpenAPI spec version: 0.1.0
*
*
* NOTE: This class is auto generated by OpenAPI Generator+.
* https://github.com/karlvr/openapi-generator-plus
* Do not edit the class manually.
*/
export namespace Api {
export interface Add201Response {
}
export ... | chroma/clients/js/src/generated/models.ts/0 | {
"file_path": "chroma/clients/js/src/generated/models.ts",
"repo_id": "chroma",
"token_count": 2220
} | 32 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,529 |
package proxy
import (
"context"
"google.golang.org/grpc"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
)
// DatabaseInterceptor fill dbname into request based on kv pair <"dbname": "xx"> in header
func DatabaseInterceptor() grpc.UnaryServerInterceptor {
return func(ctx context.Context, req any, info *... | milvus/internal/proxy/database_interceptor.go/0 | {
"file_path": "milvus/internal/proxy/database_interceptor.go",
"repo_id": "milvus",
"token_count": 3057
} | 1,814 |
from langchain_community.document_transformers.google_translate import (
GoogleTranslateTransformer,
)
__all__ = ["GoogleTranslateTransformer"]
| langchain/libs/langchain/langchain/document_transformers/google_translate.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_transformers/google_translate.py",
"repo_id": "langchain",
"token_count": 43
} | 542 |
import os
from typing import Callable, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class GitLoader(BaseLoader):
"""Load `Git` repository files.
The Repository can be local on disk available at `repo_path`,
or remote at `c... | langchain/libs/community/langchain_community/document_loaders/git.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/git.py",
"repo_id": "langchain",
"token_count": 1969
} | 256 |
---
hide_table_of_contents: true
---
# Notion markdown export
This example goes over how to load data from your Notion pages exported from the notion dashboard.
First, export your notion pages as **Markdown & CSV** as per the offical explanation [here](https://www.notion.so/help/export-your-content). Make sure to se... | langchainjs/docs/core_docs/docs/integrations/document_loaders/file_loaders/notion_markdown.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/file_loaders/notion_markdown.mdx",
"repo_id": "langchainjs",
"token_count": 201
} | 726 |
{
"language": [
"found",
"crowdsourced",
"expert-generated",
"machine-generated",
"other"
],
"annotations": [
"found",
"crowdsourced",
"expert-generated",
"machine-generated",
"no-annotation",
"other"
]
}
| datasets/src/datasets/utils/resources/creators.json/0 | {
"file_path": "datasets/src/datasets/utils/resources/creators.json",
"repo_id": "datasets",
"token_count": 119
} | 144 |
# 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/finetune_tpu.sh/0 | {
"file_path": "transformers/examples/legacy/seq2seq/finetune_tpu.sh",
"repo_id": "transformers",
"token_count": 323
} | 557 |
# Metric Card for ROUGE
## Metric Description
ROUGE, or Recall-Oriented Understudy for Gisting Evaluation, is a set of metrics and a software package used for evaluating automatic summarization and machine translation software in natural language processing. The metrics compare an automatically produced summary or tra... | datasets/metrics/rouge/README.md/0 | {
"file_path": "datasets/metrics/rouge/README.md",
"repo_id": "datasets",
"token_count": 2244
} | 129 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/llama_index/packs/redis_ingestion_pipeline/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/llama_index/packs/redis_ingestion_pipeline/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,670 |
"""A simple progress bar for the console."""
import threading
from typing import Any, Dict, Optional, Sequence
from uuid import UUID
from langchain_core.documents import Document
from langchain_core.outputs import LLMResult
from langchain.callbacks import base as base_callbacks
class ProgressBarCallback(base_callb... | langchain/libs/langchain/langchain/smith/evaluation/progress.py/0 | {
"file_path": "langchain/libs/langchain/langchain/smith/evaluation/progress.py",
"repo_id": "langchain",
"token_count": 1629
} | 547 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test, expect } from "@jest/globals";
import { createClient } from "@supabase/supabase-js";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import { Supa... | langchainjs/libs/langchain-community/src/vectorstores/tests/supabase.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/supabase.int.test.ts",
"repo_id": "langchainjs",
"token_count": 4677
} | 985 |
# candle-reinforcement-learning
Reinforcement Learning examples for candle.
This has been tested with `gymnasium` version `0.29.1`. You can install the
Python package with:
```bash
pip install "gymnasium[accept-rom-license]"
```
In order to run the examples, use the following commands. Note the additional
`--package... | candle/candle-examples/examples/reinforcement-learning/README.md/0 | {
"file_path": "candle/candle-examples/examples/reinforcement-learning/README.md",
"repo_id": "candle",
"token_count": 198
} | 45 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/util/importutil/numpy_parser.go/0 | {
"file_path": "milvus/internal/util/importutil/numpy_parser.go",
"repo_id": "milvus",
"token_count": 8917
} | 1,938 |
parser: '@typescript-eslint/parser'
parserOptions:
ecmaFeatures:
jsx: true
ecmaVersion: latest
sourceType: module
project: ./tsconfig.json
env:
browser: true
es6: true
node: true
jest: true
ignorePatterns: ['index.js', 'target/']
plugins:
- import
- '@typescript-eslint'
extends:
- eslint:... | tokenizers/bindings/node/.eslintrc.yml/0 | {
"file_path": "tokenizers/bindings/node/.eslintrc.yml",
"repo_id": "tokenizers",
"token_count": 2733
} | 404 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "tools/aws_lambda",
});
export * from "@langchain/community/tools/aws_lambda";
| langchainjs/langchain/src/tools/aws_lambda.ts/0 | {
"file_path": "langchainjs/langchain/src/tools/aws_lambda.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 993 |
import random
from typing import Any, List, Optional, Tuple
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.indices.query.embedding_utils import get_top_k_embeddings
from llama_index.finetuning import EmbeddingQAFinetuneDataset
class CohereRerankerFinetuneDataset(BaseModel):
"""Class... | llama_index/llama-index-finetuning/llama_index/finetuning/rerankers/dataset_gen.py/0 | {
"file_path": "llama_index/llama-index-finetuning/llama_index/finetuning/rerankers/dataset_gen.py",
"repo_id": "llama_index",
"token_count": 1973
} | 1,284 |
<!--
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 agree... | transformers/docs/source/ja/quicktour.md/0 | {
"file_path": "transformers/docs/source/ja/quicktour.md",
"repo_id": "transformers",
"token_count": 13041
} | 524 |
# 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/finetune.sh/0 | {
"file_path": "transformers/examples/legacy/seq2seq/finetune.sh",
"repo_id": "transformers",
"token_count": 298
} | 571 |
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from chromadb.proto import chroma_pb2 as chromadb_dot_proto_dot_chroma__pb2
class VectorReaderStub(object):
"""Vector Reader Interface"""
def __init__... | chroma/chromadb/proto/chroma_pb2_grpc.py/0 | {
"file_path": "chroma/chromadb/proto/chroma_pb2_grpc.py",
"repo_id": "chroma",
"token_count": 1964
} | 18 |
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