text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-google/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-google/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,294 |
import platform
from functools import lru_cache
@lru_cache(maxsize=1)
def get_runtime_environment() -> dict:
"""Get information about the LangChain runtime environment."""
# Lazy import to avoid circular imports
from langchain import __version__
return {
"library_version": __version__,
... | langchain/libs/langchain/langchain/env.py/0 | {
"file_path": "langchain/libs/langchain/langchain/env.py",
"repo_id": "langchain",
"token_count": 166
} | 536 |
import { PromptTemplate, FewShotPromptTemplate } from "@langchain/core/prompts";
import { LengthBasedExampleSelector } from "@langchain/core/example_selectors";
export async function run() {
// Create a prompt template that will be used to format the examples.
const examplePrompt = new PromptTemplate({
inputVa... | langchainjs/examples/src/prompts/length_based_example_selector.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/length_based_example_selector.ts",
"repo_id": "langchainjs",
"token_count": 667
} | 813 |
# Resumer Screener Pack
This LlamaPack loads a resume file, and review it against a user specified job description and screening criteria.
## CLI Usage
You can download llamapacks directly using `llamaindex-cli`, which comes installed with the `llama-index` python package:
```bash
llamaindex-cli download-llamapack ... | llama_index/llama-index-packs/llama-index-packs-resume-screener/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-resume-screener/README.md",
"repo_id": "llama_index",
"token_count": 657
} | 1,725 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-cdk/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-cdk/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,307 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/agent/runner/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/agent/runner/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,729 |
"""Managed index.
A managed Index - where the index is accessible via some API that
interfaces a managed service.
"""
import logging
from typing import Any, Dict, Optional, Sequence, Type
import requests
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.data_structs.data_stru... | llama_index/llama-index-legacy/llama_index/legacy/indices/managed/zilliz/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/managed/zilliz/base.py",
"repo_id": "llama_index",
"token_count": 7439
} | 1,665 |
import os
from typing import Any, Optional
from llama_index.llms.openai_like import OpenAILike
class TogetherLLM(OpenAILike):
def __init__(
self,
model: str,
api_key: Optional[str] = None,
api_base: str = "https://api.together.xyz/v1",
is_chat_model: bool = True,
*... | llama_index/llama-index-integrations/llms/llama-index-llms-together/llama_index/llms/together/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-together/llama_index/llms/together/base.py",
"repo_id": "llama_index",
"token_count": 362
} | 1,281 |
from typing import Dict, Type, Union
from langchain.agents.agent import BaseSingleActionAgent
from langchain.agents.agent_types import AgentType
from langchain.agents.chat.base import ChatAgent
from langchain.agents.conversational.base import ConversationalAgent
from langchain.agents.conversational_chat.base import Co... | langchain/libs/langchain/langchain/agents/types.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/types.py",
"repo_id": "langchain",
"token_count": 472
} | 447 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-wolfram-alpha/llama_index/tools/wolfram_alpha/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-wolfram-alpha/llama_index/tools/wolfram_alpha/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,445 |
# Train your first Deep Reinforcement Learning Agent ๐ค [[hands-on]]
<CourseFloatingBanner classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/deep-rl-class/blob/main/notebooks/unit1/unit1.ipynb"}
]}
... | deep-rl-class/units/en/unit1/hands-on.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit1/hands-on.mdx",
"repo_id": "deep-rl-class",
"token_count": 9469
} | 155 |
import { AgentExecutor } from "langchain/agents";
import { ChatOpenAI } from "@langchain/openai";
import { Calculator } from "langchain/tools/calculator";
import { OpenAIFunctionsAgentOutputParser } from "langchain/agents/openai/output_parser";
import { convertToOpenAIFunction } from "@langchain/core/utils/function_cal... | langchainjs/examples/src/agents/openai_runnable_stream_log.ts/0 | {
"file_path": "langchainjs/examples/src/agents/openai_runnable_stream_log.ts",
"repo_id": "langchainjs",
"token_count": 2714
} | 768 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.microsoft_onedrive import OneDriveReader
def test_class():
names_of_base_classes = [b.__name__ for b in OneDriveReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/tests/test_readers_microsoft_onedrive.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/tests/test_readers_microsoft_onedrive.py",
"repo_id": "llama_index",
"token_count": 90
} | 1,338 |
from langchain_core.pydantic_v1 import SecretStr
from pytest import CaptureFixture
from langchain_community.llms.pipelineai import PipelineAI
def test_api_key_is_string() -> None:
llm = PipelineAI(pipeline_api_key="secret-api-key")
assert isinstance(llm.pipeline_api_key, SecretStr)
def test_api_key_masked_... | langchain/libs/community/tests/unit_tests/llms/test_pipelineai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/llms/test_pipelineai.py",
"repo_id": "langchain",
"token_count": 219
} | 381 |
/* eslint-disable @typescript-eslint/no-explicit-any */
import { JsonRefs } from "./json-refs";
// jsonforms doesn't support schemas with root $ref
// so we resolve root $ref and replace it with the actual schema
export function simplifySchema(schema: any) {
return JsonRefs.resolveRefs(schema)
.then((r: any) => ... | opengpts/frontend/src/utils/simplifySchema.ts/0 | {
"file_path": "opengpts/frontend/src/utils/simplifySchema.ts",
"repo_id": "opengpts",
"token_count": 375
} | 1,925 |
python_sources()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,252 |
# WordLift Reader
The WordLift GraphQL Reader is a connector to fetch and transform data from a WordLift Knowledge Graph using your the WordLift Key. The connector provides a convenient way to load data from WordLift using a GraphQL query and transform it into a list of documents for further processing.
## Usage
To ... | llama_index/llama-index-integrations/readers/llama-index-readers-wordlift/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wordlift/README.md",
"repo_id": "llama_index",
"token_count": 843
} | 1,450 |
version: '3'
services:
langchain:
build:
dockerfile: libs/langchain/dev.Dockerfile
context: ..
volumes:
# Update this to wherever you want VS Code to mount the folder of your project
- ..:/workspaces:cached
networks:
- langchain-network
# environment:
# MONGO_ROOT_USE... | langchain/.devcontainer/docker-compose.yaml/0 | {
"file_path": "langchain/.devcontainer/docker-compose.yaml",
"repo_id": "langchain",
"token_count": 318
} | 72 |
# OpenAI
All functionality related to OpenAI
>[OpenAI](https://en.wikipedia.org/wiki/OpenAI) is American artificial intelligence (AI) research laboratory
> consisting of the non-profit `OpenAI Incorporated`
> and its for-profit subsidiary corporation `OpenAI Limited Partnership`.
> `OpenAI` conducts AI research wit... | langchain/docs/docs/integrations/platforms/openai.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/platforms/openai.mdx",
"repo_id": "langchain",
"token_count": 998
} | 128 |
// 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/tests/integration/util_query.go/0 | {
"file_path": "milvus/tests/integration/util_query.go",
"repo_id": "milvus",
"token_count": 2109
} | 1,960 |
package typeutil
import (
"testing"
"github.com/stretchr/testify/suite"
)
type MapUtilSuite struct {
suite.Suite
}
func (suite *MapUtilSuite) TestMapEqual() {
left := map[int64]int64{
1: 10,
2: 20,
}
right := map[int64]int64{
1: 10,
2: 200,
}
suite.False(MapEqual(left, right))
suite.False(MapEqual(... | milvus/pkg/util/typeutil/map_test.go/0 | {
"file_path": "milvus/pkg/util/typeutil/map_test.go",
"repo_id": "milvus",
"token_count": 1584
} | 1,844 |
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.postprocessor.presidio import PresidioPIINodePostprocessor
def test_class():
names_of_base_classes = [b.__name__ for b in PresidioPIINodePostprocessor.__mro__]
assert BaseNodePostprocessor.__name__ in names_of_base_classes... | llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/tests/test_postprocessor_presidio.py/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-presidio/tests/test_postprocessor_presidio.py",
"repo_id": "llama_index",
"token_count": 103
} | 1,298 |
python_sources()
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/indices/empty/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/empty/BUILD",
"repo_id": "llama_index",
"token_count": 32
} | 1,618 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/util/typeutil/set_test.go/0 | {
"file_path": "milvus/pkg/util/typeutil/set_test.go",
"repo_id": "milvus",
"token_count": 653
} | 1,918 |
# Copyright 2020 The HuggingFace Datasets Authors.
#
# 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 ... | datasets/src/datasets/inspect.py/0 | {
"file_path": "datasets/src/datasets/inspect.py",
"repo_id": "datasets",
"token_count": 9910
} | 138 |
package main
import (
"flag"
"fmt"
"sort"
"strings"
"github.com/golang/protobuf/proto"
"go.uber.org/zap"
etcdkv "github.com/milvus-io/milvus/internal/kv/etcd"
"github.com/milvus-io/milvus/internal/proto/datapb"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/util/etcd"
"github.com/m... | milvus/cmd/tools/datameta/main.go/0 | {
"file_path": "milvus/cmd/tools/datameta/main.go",
"repo_id": "milvus",
"token_count": 1689
} | 1,721 |
<!--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/models/transformer2d.md/0 | {
"file_path": "diffusers/docs/source/en/api/models/transformer2d.md",
"repo_id": "diffusers",
"token_count": 467
} | 172 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/segformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/segformer.md",
"repo_id": "transformers",
"token_count": 3177
} | 454 |
from __future__ import absolute_import, division, print_function
import argparse
import glob
import logging
import os
import random
import time
import numpy as np
import torch
from torch import nn
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset
from torch.utils.data.distribute... | transformers/examples/research_projects/deebert/run_glue_deebert.py/0 | {
"file_path": "transformers/examples/research_projects/deebert/run_glue_deebert.py",
"repo_id": "transformers",
"token_count": 13897
} | 539 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/unets/unet_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_2d.py",
"repo_id": "diffusers",
"token_count": 7250
} | 215 |
# Conversation summary memory
Now let's take a look at using a slightly more complex type of memory - `ConversationSummaryMemory`. This type of memory creates a summary of the conversation over time. This can be useful for condensing information from the conversation over time.
Conversation summary memory summarizes t... | langchainjs/docs/core_docs/docs/modules/memory/types/summary.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/memory/types/summary.mdx",
"repo_id": "langchainjs",
"token_count": 309
} | 746 |
# 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/gpt2/test_modeling_flax_gpt2.py/0 | {
"file_path": "transformers/tests/models/gpt2/test_modeling_flax_gpt2.py",
"repo_id": "transformers",
"token_count": 7399
} | 817 |
<jupyter_start><jupyter_text>OllamaLet's load the Ollama Embeddings class.<jupyter_code>from langchain_community.embeddings import OllamaEmbeddings
embeddings = OllamaEmbeddings()
text = "This is a test document."<jupyter_output><empty_output><jupyter_text>To generate embeddings, you can either query an invidivual text... | langchain/docs/docs/integrations/text_embedding/ollama.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/ollama.ipynb",
"repo_id": "langchain",
"token_count": 343
} | 165 |
// 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/exec/operator/FilterBits.h/0 | {
"file_path": "milvus/internal/core/src/exec/operator/FilterBits.h",
"repo_id": "milvus",
"token_count": 635
} | 1,870 |
"""Combining documents by mapping a chain over them first, then reranking results."""
from __future__ import annotations
from typing import Any, Dict, List, Optional, Sequence, Tuple, Type, Union, cast
from langchain_core.callbacks import Callbacks
from langchain_core.documents import Document
from langchain_core.py... | langchain/libs/langchain/langchain/chains/combine_documents/map_rerank.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/combine_documents/map_rerank.py",
"repo_id": "langchain",
"token_count": 3744
} | 456 |
# coding=utf-8
# Copyright 2021 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... | transformers/tests/test_sequence_feature_extraction_common.py/0 | {
"file_path": "transformers/tests/test_sequence_feature_extraction_common.py",
"repo_id": "transformers",
"token_count": 7929
} | 757 |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, List, Tuple
from uuid import uuid4
from llama_index.legacy.llm_predictor.vellum.types import (
VellumCompiledPrompt,
VellumRegisteredPrompt,
)
from llama_index.legacy.llm_predictor.vellum.utils import convert_to_kebab_case
from ll... | llama_index/llama-index-legacy/llama_index/legacy/llm_predictor/vellum/prompt_registry.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llm_predictor/vellum/prompt_registry.py",
"repo_id": "llama_index",
"token_count": 4313
} | 1,503 |
<!--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/en/create_a_model.md/0 | {
"file_path": "transformers/docs/source/en/create_a_model.md",
"repo_id": "transformers",
"token_count": 5484
} | 434 |
---
sidebar_label: Azure OpenAI
---
import CodeBlock from "@theme/CodeBlock";
# Azure ChatOpenAI
[Azure OpenAI](https://azure.microsoft.com/products/ai-services/openai-service/) is a cloud service to help you quickly develop generative AI experiences with a diverse set of prebuilt and curated models from OpenAI, Met... | langchainjs/docs/core_docs/docs/integrations/chat/azure.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/azure.mdx",
"repo_id": "langchainjs",
"token_count": 1241
} | 773 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_azure_chunk_manager.cpp/0 | {
"file_path": "milvus/internal/core/unittest/test_azure_chunk_manager.cpp",
"repo_id": "milvus",
"token_count": 4358
} | 1,901 |
# 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/albert/test_modeling_albert.py/0 | {
"file_path": "transformers/tests/models/albert/test_modeling_albert.py",
"repo_id": "transformers",
"token_count": 6342
} | 701 |
<jupyter_start><jupyter_text>Multi-modal outputs: Image & Text This notebook shows how non-text producing tools can be used to create multi-modal agents.This example is limited to text and image outputs and uses UUIDs to transfer content across tools and agents. This example uses Steamship to generate and store generat... | langchain/cookbook/multi_modal_output_agent.ipynb/0 | {
"file_path": "langchain/cookbook/multi_modal_output_agent.ipynb",
"repo_id": "langchain",
"token_count": 740
} | 80 |
<jupyter_start><jupyter_text>C TransformersThe [C Transformers](https://github.com/marella/ctransformers) library provides Python bindings for GGML models.This example goes over how to use LangChain to interact with `C Transformers` [models](https://github.com/marella/ctransformerssupported-models). **Install**<jupyter... | langchain/docs/docs/integrations/llms/ctransformers.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/ctransformers.ipynb",
"repo_id": "langchain",
"token_count": 446
} | 117 |
import pytest
from langchain_core.messages import (
AIMessage,
ChatMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
)
from langchain_community.chat_models.llama_edge import (
LlamaEdgeChatService,
_convert_dict_to_message,
_convert_message_to_dict,
)
def test__convert_message_to... | langchain/libs/community/tests/unit_tests/chat_models/test_llama_edge.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/chat_models/test_llama_edge.py",
"repo_id": "langchain",
"token_count": 866
} | 385 |
"""Callback handler for Context AI"""
import os
from typing import Any, Dict, List
from uuid import UUID
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.messages import BaseMessage
from langchain_core.outputs import LLMResult
def import_context() -> Any:
"""Import the `getcontext` pa... | langchain/libs/community/langchain_community/callbacks/context_callback.py/0 | {
"file_path": "langchain/libs/community/langchain_community/callbacks/context_callback.py",
"repo_id": "langchain",
"token_count": 2950
} | 230 |
from llama_index.readers.imdb_review.base import IMDBReviews
__all__ = ["IMDBReviews"]
| llama_index/llama-index-integrations/readers/llama-index-readers-imdb-review/llama_index/readers/imdb_review/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-imdb-review/llama_index/readers/imdb_review/__init__.py",
"repo_id": "llama_index",
"token_count": 33
} | 1,389 |
[tool.poetry]
name = "nvidia-rag-canonical"
version = "0.1.0"
description = "RAG with NVIDIA"
authors = ["Sagar Bogadi Manjunath <sbogadimanju@nvidia.com>"]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
pymilvus = ">=2.3.0"
langchain-nvidia-aiplay = "^0.0.2"
pypdf = ">=3.1"... | langchain/templates/nvidia-rag-canonical/pyproject.toml/0 | {
"file_path": "langchain/templates/nvidia-rag-canonical/pyproject.toml",
"repo_id": "langchain",
"token_count": 296
} | 673 |
# Text-generation-launcher arguments
<!-- WRAP CODE BLOCKS -->
```shell
Text Generation Launcher
Usage: text-generation-launcher [OPTIONS]
Options:
```
## MODEL_ID
```shell
--model-id <MODEL_ID>
The name of the model to load. Can be a MODEL_ID as listed on <https://hf.co/models> like `gpt2` or `Open... | text-generation-inference/docs/source/basic_tutorials/launcher.md/0 | {
"file_path": "text-generation-inference/docs/source/basic_tutorials/launcher.md",
"repo_id": "text-generation-inference",
"token_count": 6114
} | 416 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-weaviate/llama_index/readers/weaviate/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-weaviate/llama_index/readers/weaviate/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,464 |
syntax = "proto3";
package chroma;
option go_package = "github.com/chroma/chroma-coordinator/internal/proto/coordinatorpb";
message Status {
string reason = 1;
int32 code = 2; // TODO: What is the enum of this code?
}
message ChromaResponse {
Status status = 1;
}
// Types here should mirror chromadb/types.py... | chroma/idl/chromadb/proto/chroma.proto/0 | {
"file_path": "chroma/idl/chromadb/proto/chroma.proto",
"repo_id": "chroma",
"token_count": 1001
} | 55 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_flax_available,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transfor... | diffusers/src/diffusers/pipelines/controlnet/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/controlnet/__init__.py",
"repo_id": "diffusers",
"token_count": 1294
} | 236 |
<jupyter_start><jupyter_text>Upstash Redis>[Upstash](https://upstash.com/docs/introduction) is a provider of the serverless `Redis`, `Kafka`, and `QStash` APIs.This notebook goes over how to use `Upstash Redis` to store chat message history.<jupyter_code>from langchain_community.chat_message_histories.upstash_redis imp... | langchain/docs/docs/integrations/memory/upstash_redis_chat_message_history.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/upstash_redis_chat_message_history.ipynb",
"repo_id": "langchain",
"token_count": 248
} | 123 |
python_tests()
| llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/indices/llama-index-indices-managed-colbert/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,208 |
<jupyter_start><jupyter_text>Local Llama2 + VectorStoreIndexThis notebook walks through the proper setup to use llama-2 with LlamaIndex locally. Note that you need a decent GPU to run this notebook, ideally an A100 with at least 40GB of memory.Specifically, we look at using a vector store index. Setup<jupyter_code>%pi... | llama_index/docs/examples/vector_stores/SimpleIndexDemoLlama-Local.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/SimpleIndexDemoLlama-Local.ipynb",
"repo_id": "llama_index",
"token_count": 1546
} | 1,092 |
# Use RunnableMaps
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationInstallTooltip></IntegrationInstallTooltip>
```bash npm2yarn
npm install @langchain/anthropic @langchain/community
```
RunnableMaps allow you to execute multiple Runnables in parallel, and to retu... | langchainjs/docs/core_docs/docs/expression_language/how_to/map.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/expression_language/how_to/map.mdx",
"repo_id": "langchainjs",
"token_count": 399
} | 717 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package metacache
import (
datapb "github.com/milvus-io/milvus/internal/proto/datapb"
mock "github.com/stretchr/testify/mock"
schemapb "github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
storage "github.com/milvus-io/milvus/internal/storage"
)
// MockMetaCa... | milvus/internal/datanode/metacache/mock_meta_cache.go/0 | {
"file_path": "milvus/internal/datanode/metacache/mock_meta_cache.go",
"repo_id": "milvus",
"token_count": 6970
} | 1,976 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | trl/tests/test_peft_models.py/0 | {
"file_path": "trl/tests/test_peft_models.py",
"repo_id": "trl",
"token_count": 3832
} | 872 |
# WholeSiteReader
The WholeSiteReader is a sophisticated web scraping tool that employs a breadth-first search (BFS) algorithm. It's designed to methodically traverse and extract content from entire websites, focusing specifically on predefined URL paths.
## Features
- **Breadth-First Search (BFS):** Traverses a web... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/whole_site/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/whole_site/README.md",
"repo_id": "llama_index",
"token_count": 944
} | 1,460 |
from typing import List
import requests
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class LinearReader(BaseReader):
"""Linear reader. Reads data from Linear issues for the passed query.
Args:
api_key (str): Personal API token.
"""
def __... | llama_index/llama-index-integrations/readers/llama-index-readers-linear/llama_index/readers/linear/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-linear/llama_index/readers/linear/base.py",
"repo_id": "llama_index",
"token_count": 1337
} | 1,471 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: test-mixcoord-pod-failure
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
app.kubernetes.io/component: mixcoord
mode: fixed
value: "1"
ac... | milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_mixcoord_pod_failure.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_mixcoord_pod_failure.yaml",
"repo_id": "milvus",
"token_count": 151
} | 1,957 |
// https://github.com/karpathy/llama2.c
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
use candle_transformers::models::llama2_c as model;
use candle_transformers::models::llama2_c_weights as weights;
use candle_transformers::models::quantized_llama2_c... | candle/candle-examples/examples/llama2-c/main.rs/0 | {
"file_path": "candle/candle-examples/examples/llama2-c/main.rs",
"repo_id": "candle",
"token_count": 5988
} | 45 |
<jupyter_start><jupyter_code>from llama_hub.openalex import OpenAlexReader
from llama_index.llms import OpenAI
from llama_index.query_engine import CitationQueryEngine
from llama_index import (
VectorStoreIndex,
ServiceContext,
)
from llama_index.response.notebook_utils import display_response
# change this to ... | llama_index/llama-index-integrations/readers/llama-index-readers-openalex/examples/demo.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-openalex/examples/demo.ipynb",
"repo_id": "llama_index",
"token_count": 370
} | 1,437 |
<!--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/en/model_doc/roc_bert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/roc_bert.md",
"repo_id": "transformers",
"token_count": 999
} | 516 |
import base64
import torch
from io import BytesIO
from diffusers import StableDiffusionPipeline
def model_fn(model_dir):
# Load stable diffusion and move it to the GPU
pipe = StableDiffusionPipeline.from_pretrained(model_dir, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
return pipe
def predict_fn(data,... | notebooks/sagemaker/23_stable_diffusion_inference/code/inference.py/0 | {
"file_path": "notebooks/sagemaker/23_stable_diffusion_inference/code/inference.py",
"repo_id": "notebooks",
"token_count": 400
} | 318 |
from typing import TYPE_CHECKING
from ...utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_dance_diffusion": ["DanceDiffusionPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_dance_diffusion import DanceDiffusionPipeline
else:
import sys
sys.modules[__na... | diffusers/src/diffusers/pipelines/dance_diffusion/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/dance_diffusion/__init__.py",
"repo_id": "diffusers",
"token_count": 189
} | 230 |
"""Test ChatGoogleGenerativeAI function call."""
import json
from langchain_core.messages import AIMessage
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.tools import tool
from langchain_google_genai.chat_models import (
ChatGoogleGenerativeAI,
)
def test_function_call() -> None:
func... | langchain/libs/partners/google-genai/tests/integration_tests/test_function_call.py/0 | {
"file_path": "langchain/libs/partners/google-genai/tests/integration_tests/test_function_call.py",
"repo_id": "langchain",
"token_count": 1121
} | 652 |
import pytest
@pytest.fixture()
def english_text() -> str:
return """\
A Curious Beginning
In a quaint little village, nestled deep within a lush, green valley, there lived a \
curious young girl named Lily! She had sparkling blue eyes that glimmered like the \
morning dewโyes, like tiny sapphires embedded in he... | llama_index/llama-index-legacy/tests/text_splitter/conftest.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/text_splitter/conftest.py",
"repo_id": "llama_index",
"token_count": 1479
} | 1,638 |
from __future__ import annotations
import logging
from enum import Enum
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import (
AIMessage,
BaseMessage,
HumanMessage,
SystemMessage,
)
if TYPE_CHECK... | langchain/libs/community/langchain_community/chat_message_histories/zep.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/zep.py",
"repo_id": "langchain",
"token_count": 3078
} | 222 |
# Copyright 2023-present 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 law or... | peft/src/peft/utils/constants.py/0 | {
"file_path": "peft/src/peft/utils/constants.py",
"repo_id": "peft",
"token_count": 2661
} | 349 |
from rag_multi_index_fusion.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-multi-index-fusion/rag_multi_index_fusion/__init__.py/0 | {
"file_path": "langchain/templates/rag-multi-index-fusion/rag_multi_index_fusion/__init__.py",
"repo_id": "langchain",
"token_count": 23
} | 695 |
<!--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/en/add_tensorflow_model.md/0 | {
"file_path": "transformers/docs/source/en/add_tensorflow_model.md",
"repo_id": "transformers",
"token_count": 5782
} | 448 |
from typing import TYPE_CHECKING
from ....utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and i... | diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/__init__.py",
"repo_id": "diffusers",
"token_count": 817
} | 234 |
#!/usr/bin/env bash
eval $(minikube -p chroma-test docker-env)
docker build -t chroma-coordinator:latest -f go/coordinator/Dockerfile .
kubectl delete deployment coordinator -n chroma
# Apply the kubernetes manifests
kubectl apply -f k8s/deployment
kubectl apply -f k8s/crd
kubectl apply -f k8s/cr
kubectl apply -f ... | chroma/bin/reset.sh/0 | {
"file_path": "chroma/bin/reset.sh",
"repo_id": "chroma",
"token_count": 128
} | 14 |
# Recursive Retriever Packs
## Embedded Tables Retriever Pack w/ Unstructured.io
This LlamaPack provides an example of our embedded tables retriever.
This specific template shows the e2e process of building this. It loads
a document, builds a hierarchical node graph (with bigger parent nodes and smaller
child nodes)... | llama_index/llama-index-packs/llama-index-packs-recursive-retriever/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-recursive-retriever/README.md",
"repo_id": "llama_index",
"token_count": 1262
} | 1,586 |
# Subscribing to events
import CodeBlock from "@theme/CodeBlock";
import DebuggingExample from "@examples/models/chat/chat_debugging.ts";
Especially when using an agent, there can be a lot of back-and-forth going on behind the scenes as a Chat Model processes a prompt. For agents, the response object contains an inte... | langchainjs/docs/core_docs/docs/modules/model_io/chat/subscribing_events.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/chat/subscribing_events.mdx",
"repo_id": "langchainjs",
"token_count": 263
} | 816 |
from langchain_community.retrievers.google_cloud_documentai_warehouse import (
GoogleDocumentAIWarehouseRetriever,
)
__all__ = ["GoogleDocumentAIWarehouseRetriever"]
| langchain/libs/langchain/langchain/retrievers/google_cloud_documentai_warehouse.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/google_cloud_documentai_warehouse.py",
"repo_id": "langchain",
"token_count": 53
} | 581 |
[tool.poetry]
name = "neo4j-parent"
version = "0.1.0"
description = "Balance precise embeddings and context retention with Neo4j hybrid search"
authors = [
"Tomaz Bratanic <tomaz.bratanic@neo4j.com>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
tiktoken = "^0.5.1"
o... | langchain/templates/neo4j-parent/pyproject.toml/0 | {
"file_path": "langchain/templates/neo4j-parent/pyproject.toml",
"repo_id": "langchain",
"token_count": 316
} | 664 |
<jupyter_start><jupyter_text>Pandas DataFrameThis notebook goes over how to load data from a [pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/index) DataFrame.<jupyter_code>%pip install --upgrade --quiet pandas
import pandas as pd
df = pd.read_csv("example_data/mlb_teams_2012.csv")
df.head()
from langc... | langchain/docs/docs/integrations/document_loaders/pandas_dataframe.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/pandas_dataframe.ipynb",
"repo_id": "langchain",
"token_count": 591
} | 104 |
/**
* A simple data structure that holds information about an attribute. It
* is typically used to provide metadata about attributes in other classes
* or data structures within the LangChain framework.
*/
export class AttributeInfo {
constructor(
public name: string,
public type: string,
public descr... | langchainjs/langchain/src/schema/query_constructor.ts/0 | {
"file_path": "langchainjs/langchain/src/schema/query_constructor.ts",
"repo_id": "langchainjs",
"token_count": 85
} | 934 |
# Weaviate
>[Weaviate](https://weaviate.io/) is an open-source vector database. It allows you to store data objects and vector embeddings from
>your favorite ML models, and scale seamlessly into billions of data objects.
What is `Weaviate`?
- Weaviate is an open-source โdatabase of the type โvector search engine.
- ... | langchain/docs/docs/integrations/providers/weaviate.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/weaviate.mdx",
"repo_id": "langchain",
"token_count": 539
} | 163 |
# candle-metal-kernels
This crate contains Metal kernels used from candle. | candle/candle-metal-kernels/README.md/0 | {
"file_path": "candle/candle-metal-kernels/README.md",
"repo_id": "candle",
"token_count": 18
} | 64 |
from langchain_community.llms.huggingface_pipeline import (
HuggingFacePipeline,
)
__all__ = [
"HuggingFacePipeline",
]
| langchain/libs/langchain/langchain/llms/huggingface_pipeline.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/huggingface_pipeline.py",
"repo_id": "langchain",
"token_count": 54
} | 521 |
# Copyright (C) 2019-2022 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 law or ag... | milvus/build/docker/milvus/gpu/ubuntu20.04/Dockerfile.base/0 | {
"file_path": "milvus/build/docker/milvus/gpu/ubuntu20.04/Dockerfile.base",
"repo_id": "milvus",
"token_count": 573
} | 1,748 |
<!--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/model_doc/bark.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bark.md",
"repo_id": "transformers",
"token_count": 2760
} | 501 |
/*!
**************************************************************************************************
* Deformable DETR
* Copyright (c) 2020 SenseTime. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 [see LICENSE for details]
***********************************************************************... | transformers/src/transformers/kernels/deformable_detr/cpu/ms_deform_attn_cpu.h/0 | {
"file_path": "transformers/src/transformers/kernels/deformable_detr/cpu/ms_deform_attn_cpu.h",
"repo_id": "transformers",
"token_count": 353
} | 625 |
# 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/marian/test_modeling_flax_marian.py/0 | {
"file_path": "transformers/tests/models/marian/test_modeling_flax_marian.py",
"repo_id": "transformers",
"token_count": 8297
} | 810 |
from llama_index.callbacks.deepeval.base import deepeval_callback_handler
__all__ = ["deepeval_callback_handler"]
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/llama_index/callbacks/deepeval/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/llama_index/callbacks/deepeval/__init__.py",
"repo_id": "llama_index",
"token_count": 41
} | 1,228 |
//load the candle SAM Model wasm module
import init, { Model } from "./build/m.js";
async function fetchArrayBuffer(url, cacheModel = true) {
if (!cacheModel)
return new Uint8Array(await (await fetch(url)).arrayBuffer());
const cacheName = "sam-candle-cache";
const cache = await caches.open(cacheName);
con... | candle/candle-wasm-examples/segment-anything/samWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/segment-anything/samWorker.js",
"repo_id": "candle",
"token_count": 1747
} | 76 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.hubspot import HubspotReader
def test_class():
names_of_base_classes = [b.__name__ for b in HubspotReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-hubspot/tests/test_readers_hubspot.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hubspot/tests/test_readers_hubspot.py",
"repo_id": "llama_index",
"token_count": 88
} | 1,379 |
# Differences between Dataset and IterableDataset
There are two types of dataset objects, a [`Dataset`] and an [`IterableDataset`].
Whichever type of dataset you choose to use or create depends on the size of the dataset.
In general, an [`IterableDataset`] is ideal for big datasets (think hundreds of GBs!) due to its ... | datasets/docs/source/about_mapstyle_vs_iterable.mdx/0 | {
"file_path": "datasets/docs/source/about_mapstyle_vs_iterable.mdx",
"repo_id": "datasets",
"token_count": 3261
} | 115 |
#!/usr/bin/env python
# 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/LI... | transformers/examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py",
"repo_id": "transformers",
"token_count": 19782
} | 562 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-perplexity/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-perplexity/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,298 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/align/test_modeling_align.py/0 | {
"file_path": "transformers/tests/models/align/test_modeling_align.py",
"repo_id": "transformers",
"token_count": 10758
} | 728 |
// 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/binlog_adapter.go/0 | {
"file_path": "milvus/internal/util/importutil/binlog_adapter.go",
"repo_id": "milvus",
"token_count": 19729
} | 1,801 |
from llama_index.readers.hwp.base import HWPReader
__all__ = ["HWPReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-hwp/llama_index/readers/hwp/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hwp/llama_index/readers/hwp/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,315 |
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
import botocore
def get_aws_service_client(
service_name: Optional[str] = None,
region_name: Optional[str] = None,
aws_access_key_id: Optional[str] = None,
aws_secret_access_key: Optional[str] = None,
aws_session_token: Optional[str... | llama_index/llama-index-core/llama_index/core/utilities/aws_utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/utilities/aws_utils.py",
"repo_id": "llama_index",
"token_count": 753
} | 1,212 |
# coding=utf-8
# Copyright 2023 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... | transformers/tests/tools/test_document_question_answering.py/0 | {
"file_path": "transformers/tests/tools/test_document_question_answering.py",
"repo_id": "transformers",
"token_count": 756
} | 758 |
<!---
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 ... | transformers/docs/source/ko/troubleshooting.md/0 | {
"file_path": "transformers/docs/source/ko/troubleshooting.md",
"repo_id": "transformers",
"token_count": 6557
} | 558 |
from langchain_community.utilities.anthropic import (
get_num_tokens_anthropic,
get_token_ids_anthropic,
)
__all__ = [
"get_num_tokens_anthropic",
"get_token_ids_anthropic",
]
| langchain/libs/langchain/langchain/utilities/anthropic.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/anthropic.py",
"repo_id": "langchain",
"token_count": 83
} | 572 |
"""Generalized implementation of SmartGPT (origin: https://youtu.be/wVzuvf9D9BU)"""
from langchain_experimental.smart_llm.base import SmartLLMChain
__all__ = ["SmartLLMChain"]
| langchain/libs/experimental/langchain_experimental/smart_llm/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/smart_llm/__init__.py",
"repo_id": "langchain",
"token_count": 61
} | 448 |
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