text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
### Description
#recipes #dessert #cookies
A document with HR elements that might trip up a front matter parser:
---
### Ingredients
- 3/4 cup (170g) **unsalted butter**, slightly softened to room temperature.
- 1 and 1/2 cups (180g) **confectioners’ sugar**
---
| langchainjs/langchain/src/document_loaders/tests/example_data/obsidian/no_frontmatter.md/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/example_data/obsidian/no_frontmatter.md",
"repo_id": "langchainjs",
"token_count": 84
} | 942 |
from dataclasses import dataclass
from typing import Dict, Optional, Union
import torch
import torch.nn.functional as F
from torch import nn
from ...configuration_utils import ConfigMixin, register_to_config
from ...loaders import PeftAdapterMixin, UNet2DConditionLoadersMixin
from ...utils import BaseOutput
from ..at... | diffusers/src/diffusers/models/transformers/prior_transformer.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/prior_transformer.py",
"repo_id": "diffusers",
"token_count": 7388
} | 233 |
import CodeBlock from "@theme/CodeBlock";
import CancellationExample from "@examples/models/chat/chat_cancellation.ts";
# Cancelling requests
You can cancel a request by passing a `signal` option when you call the model. For example, for OpenAI:
import IntegrationInstallTooltip from "@mdx_components/integration_inst... | langchainjs/docs/core_docs/docs/modules/model_io/chat/cancelling_requests.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/chat/cancelling_requests.mdx",
"repo_id": "langchainjs",
"token_count": 193
} | 815 |
#!/usr/bin/env python
"""A more complex example that shows how to configure index name at run time."""
from typing import Any, Iterable, List, Optional, Type
from fastapi import FastAPI
from langchain.embeddings import OpenAIEmbeddings
from langchain.schema import Document
from langchain.schema.embeddings import Embed... | langserve/examples/configurable_retrieval/server.py/0 | {
"file_path": "langserve/examples/configurable_retrieval/server.py",
"repo_id": "langserve",
"token_count": 1432
} | 1,010 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/controlnet/test_flax_controlnet.py/0 | {
"file_path": "diffusers/tests/pipelines/controlnet/test_flax_controlnet.py",
"repo_id": "diffusers",
"token_count": 2141
} | 268 |
from typing import List, Optional, Union
import PIL.Image
import torch
from transformers import CLIPImageProcessor, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionModelWithProjection
from ...models import PriorTransformer
from ...schedulers import UnCLIPScheduler
from ...utils import (
logging,
replace... | diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior_emb2emb.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_prior_emb2emb.py",
"repo_id": "diffusers",
"token_count": 11231
} | 253 |
import inspect
import re
from typing import Any, Callable, Dict, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from packaging import version
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import DiffusionPipeline
from diffusers.configuration_utils imp... | diffusers/examples/community/lpw_stable_diffusion.py/0 | {
"file_path": "diffusers/examples/community/lpw_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 32894
} | 211 |
import torch
from diffusers import DDPMScheduler
from .test_schedulers import SchedulerCommonTest
class DDPMSchedulerTest(SchedulerCommonTest):
scheduler_classes = (DDPMScheduler,)
def get_scheduler_config(self, **kwargs):
config = {
"num_train_timesteps": 1000,
"beta_start"... | diffusers/tests/schedulers/test_scheduler_ddpm.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_ddpm.py",
"repo_id": "diffusers",
"token_count": 3860
} | 288 |
# Process
🤗 Datasets provides many tools for modifying the structure and content of a dataset. These tools are important for tidying up a dataset, creating additional columns, converting between features and formats, and much more.
This guide will show you how to:
- Reorder rows and split the dataset.
- Rename and ... | datasets/docs/source/process.mdx/0 | {
"file_path": "datasets/docs/source/process.mdx",
"repo_id": "datasets",
"token_count": 10396
} | 112 |
- sections:
- local: index
title: TRL
- local: quickstart
title: Quickstart
- local: installation
title: Installation
- local: how_to_train
title: PPO Training FAQ
- local: use_model
title: Use Trained Models
- local: customization
title: Customize the Training
- local: logging
... | trl/docs/source/_toctree.yml/0 | {
"file_path": "trl/docs/source/_toctree.yml",
"repo_id": "trl",
"token_count": 479
} | 876 |
import string
from typing import Any, List
from langchain.evaluation.schema import StringEvaluator
class ExactMatchStringEvaluator(StringEvaluator):
"""Compute an exact match between the prediction and the reference.
Examples
----------
>>> evaluator = ExactMatchChain()
>>> evaluator.evaluate_st... | langchain/libs/langchain/langchain/evaluation/exact_match/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/exact_match/base.py",
"repo_id": "langchain",
"token_count": 1191
} | 503 |
"""Test MistralAI Chat API wrapper."""
import os
from typing import Any, AsyncGenerator, Generator
from unittest.mock import patch
import pytest
from langchain_core.callbacks.base import BaseCallbackHandler
from langchain_core.messages import (
AIMessage,
BaseMessage,
ChatMessage,
HumanMessage,
Sys... | langchain/libs/partners/mistralai/tests/unit_tests/test_chat_models.py/0 | {
"file_path": "langchain/libs/partners/mistralai/tests/unit_tests/test_chat_models.py",
"repo_id": "langchain",
"token_count": 1405
} | 632 |
# Graphsignal
This page covers how to use [Graphsignal](https://app.graphsignal.com) to trace and monitor LangChain. Graphsignal enables full visibility into your application. It provides latency breakdowns by chains and tools, exceptions with full context, data monitoring, compute/GPU utilization, OpenAI cost analyti... | langchain/docs/docs/integrations/providers/graphsignal.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/graphsignal.mdx",
"repo_id": "langchain",
"token_count": 443
} | 138 |
"""Ad-hoc data loader tool.
Tool that wraps any data loader, and is able to load data on-demand.
"""
from typing import Any, Callable, Dict, List, Optional, Tuple, Type
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.indices.base import BaseIndex
from llama_index.core.indices.vector_st... | llama_index/llama-index-core/llama_index/core/tools/ondemand_loader_tool.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/tools/ondemand_loader_tool.py",
"repo_id": "llama_index",
"token_count": 2621
} | 1,211 |
// Code generated by mockery v2.33.3. DO NOT EDIT.
package mocks
import (
context "context"
mock "github.com/stretchr/testify/mock"
model "github.com/chroma/chroma-coordinator/internal/model"
types "github.com/chroma/chroma-coordinator/internal/types"
)
// Catalog is an autogenerated mock type for the Catalog... | chroma/go/coordinator/internal/metastore/mocks/Catalog.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/mocks/Catalog.go",
"repo_id": "chroma",
"token_count": 2399
} | 51 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/tensorflow/multiple-choice/README.md/0 | {
"file_path": "transformers/examples/tensorflow/multiple-choice/README.md",
"repo_id": "transformers",
"token_count": 509
} | 624 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/accesslog/formater_test.go/0 | {
"file_path": "milvus/internal/proxy/accesslog/formater_test.go",
"repo_id": "milvus",
"token_count": 2202
} | 2,011 |
package coordinator
import (
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"github.com/chroma/chroma-coordinator/internal/model"
"github.com/chroma/chroma-coordinator/internal/types"
"github.com/pingcap/log"
"go.uber.org/zap"
)
func convertCollectionToModel(collectionAndMetadataList []*dbm... | chroma/go/coordinator/internal/metastore/coordinator/model_db_convert.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/coordinator/model_db_convert.go",
"repo_id": "chroma",
"token_count": 2392
} | 47 |
export * from "@langchain/community/memory/motorhead_memory";
| langchainjs/langchain/src/memory/motorhead_memory.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/motorhead_memory.ts",
"repo_id": "langchainjs",
"token_count": 18
} | 933 |
from __future__ import annotations
from collections import defaultdict
from typing import Any, Callable, Dict, List, Optional, Sequence, Set, Tuple
import uuid
from chromadb.config import Settings, System
from chromadb.ingest import Consumer, ConsumerCallbackFn, Producer
from overrides import overrides, EnforceOverride... | chroma/chromadb/ingest/impl/pulsar.py/0 | {
"file_path": "chroma/chromadb/ingest/impl/pulsar.py",
"repo_id": "chroma",
"token_count": 5066
} | 17 |
import { ChatOpenAI } from "@langchain/openai";
import { StringOutputParser } from "@langchain/core/output_parsers";
const parser = new StringOutputParser();
const model = new ChatOpenAI({ temperature: 0 });
const stream = await model.pipe(parser).stream("Hello there!");
for await (const chunk of stream) {
consol... | langchainjs/examples/src/prompts/string_output_parser.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/string_output_parser.ts",
"repo_id": "langchainjs",
"token_count": 131
} | 837 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/utils/create_dummy_models.py/0 | {
"file_path": "transformers/utils/create_dummy_models.py",
"repo_id": "transformers",
"token_count": 28790
} | 799 |
# News Article Loader
This loader makes use of the `newspaper3k` library to parse web page urls which have news
articles in them.
## Usage
```
pip install newspaper3k
```
Pass in an array of individual page URLs:
```python
from llama_index.readers.web.news import NewsArticleReader
reader = NewsArticleReader(use_n... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/news/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/news/README.md",
"repo_id": "llama_index",
"token_count": 216
} | 1,456 |
<jupyter_start><jupyter_text>Together AI + RAG [Together AI](https://python.langchain.com/docs/integrations/llms/together) has a broad set of OSS LLMs via inference API.See [here](https://api.together.xyz/playground). We use `"mistralai/Mixtral-8x7B-Instruct-v0.1` for RAG on the Mixtral paper.Download the paper:https:/... | langchain/cookbook/together_ai.ipynb/0 | {
"file_path": "langchain/cookbook/together_ai.ipynb",
"repo_id": "langchain",
"token_count": 711
} | 82 |
"""Notion tool spec."""
| llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/notion/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/notion/__init__.py",
"repo_id": "llama_index",
"token_count": 8
} | 1,607 |
# Requests Tool
This tool provides the agent the ability to make HTTP requests. It can be combined with the OpenAPIToolSpec to interface with an OpenAPI server.
For security reasons, you must specify the hostname for the headers that you wish to provide. See [here for an example](https://github.com/emptycrown/llama-h... | llama_index/llama-index-integrations/tools/llama-index-tools-requests/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-requests/README.md",
"repo_id": "llama_index",
"token_count": 432
} | 1,434 |
<!--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/tutorials/using_peft_for_inference.md/0 | {
"file_path": "diffusers/docs/source/en/tutorials/using_peft_for_inference.md",
"repo_id": "diffusers",
"token_count": 3320
} | 197 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.wordpress import WordpressReader
def test_class():
names_of_base_classes = [b.__name__ for b in WordpressReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-wordpress/tests/test_readers_wordpress.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wordpress/tests/test_readers_wordpress.py",
"repo_id": "llama_index",
"token_count": 87
} | 1,476 |
"""
Astra DB Vector store index.
An index based on a DB table with vector search capabilities,
powered by the astrapy library
"""
import json
import logging
from typing import Any, Dict, List, Optional, cast
from warnings import warn
from llama_index.legacy.bridge.pydantic import PrivateAttr
from llama_index.legacy... | llama_index/llama-index-legacy/llama_index/legacy/vector_stores/astra.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/astra.py",
"repo_id": "llama_index",
"token_count": 6406
} | 1,652 |
export const PREFIX = `Answer the following questions as best you can. You have access to the following tools:`;
export const FORMAT_INSTRUCTIONS = `Use the following format in your response:
Question: the input question you must answer
Thought: you should always think about what to do
Action: the action to take, shou... | langchainjs/langchain/src/agents/mrkl/prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/mrkl/prompt.ts",
"repo_id": "langchainjs",
"token_count": 175
} | 879 |
import gym
import numpy as np
import torch
from mujoco_py import GlfwContext
from transformers import DecisionTransformerModel
GlfwContext(offscreen=True) # Create a window to init GLFW.
def get_action(model, states, actions, rewards, returns_to_go, timesteps):
# we don't care about the past rewards in this m... | transformers/examples/research_projects/decision_transformer/run_decision_transformer.py/0 | {
"file_path": "transformers/examples/research_projects/decision_transformer/run_decision_transformer.py",
"repo_id": "transformers",
"token_count": 2763
} | 596 |
[tool.poetry]
name = "rag-redis"
version = "0.0.1"
description = "Run a RAG app backed by OpenAI, HuggingFace, and Redis as a vector database"
authors = [
"Tyler Hutcherson <tyler.hutcherson@redis.com>",
"Sam Partee <sam.partee@redis.com>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.9,<3.1... | langchain/templates/rag-redis/pyproject.toml/0 | {
"file_path": "langchain/templates/rag-redis/pyproject.toml",
"repo_id": "langchain",
"token_count": 543
} | 744 |
# 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... | accelerate/src/accelerate/scheduler.py/0 | {
"file_path": "accelerate/src/accelerate/scheduler.py",
"repo_id": "accelerate",
"token_count": 1577
} | 13 |
# Figma
>[Figma](https://www.figma.com/) is a collaborative web application for interface design.
## Installation and Setup
The Figma API requires an `access token`, `node_ids`, and a `file key`.
The `file key` can be pulled from the URL. https://www.figma.com/file/{filekey}/sampleFilename
`Node IDs` are also ava... | langchain/docs/docs/integrations/providers/figma.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/figma.mdx",
"repo_id": "langchain",
"token_count": 222
} | 144 |
import { Dataset, Run } from "../schemas.js";
import { FunctionMessage, HumanMessage } from "@langchain/core/messages";
import { Client } from "../client.js";
import { v4 as uuidv4 } from "uuid";
async function toArray<T>(iterable: AsyncIterable<T>): Promise<T[]> {
const result: T[] = [];
for await (const item of... | langsmith-sdk/js/src/tests/client.int.test.ts/0 | {
"file_path": "langsmith-sdk/js/src/tests/client.int.test.ts",
"repo_id": "langsmith-sdk",
"token_count": 6324
} | 1,047 |
# A Guide to Building a Full-Stack Web App with LLamaIndex
LlamaIndex is a python library, which means that integrating it with a full-stack web application will be a little different than what you might be used to.
This guide seeks to walk through the steps needed to create a basic API service written in python, and... | llama_index/docs/understanding/putting_it_all_together/apps/fullstack_app_guide.md/0 | {
"file_path": "llama_index/docs/understanding/putting_it_all_together/apps/fullstack_app_guide.md",
"repo_id": "llama_index",
"token_count": 4737
} | 1,130 |
"""Keep here for backwards compatibility."""
from langchain_community.utilities.sql_database import SQLDatabase
__all__ = ["SQLDatabase"]
| langchain/libs/langchain/langchain/sql_database.py/0 | {
"file_path": "langchain/libs/langchain/langchain/sql_database.py",
"repo_id": "langchain",
"token_count": 35
} | 593 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/opensearch",
});
export * from "@langchain/community/vectorstores/opensearch";
| langchainjs/langchain/src/vectorstores/opensearch.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/opensearch.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 937 |
build_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_7/jaccard_50m_512_512_jaccard_ivf_wal_debug
cache_config.cpu_cache_capacity: 16
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.ena... | milvus/tests/benchmark/milvus_benchmark/suites/gpu_build_performance_jaccard50m.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/gpu_build_performance_jaccard50m.yaml",
"repo_id": "milvus",
"token_count": 327
} | 1,882 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test, expect } from "@jest/globals";
import { TavilySearchAPIRetriever } from "../tavily_search_api.js";
test.skip("TavilySearchAPIRetriever", async () => {
const retriever = new TavilySearchAPIRetriever({
... | langchainjs/libs/langchain-community/src/retrievers/tests/tavily_search_api.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/retrievers/tests/tavily_search_api.int.test.ts",
"repo_id": "langchainjs",
"token_count": 185
} | 1,008 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/segments/pool_test.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/pool_test.go",
"repo_id": "milvus",
"token_count": 1157
} | 1,843 |
import time
import pytest
from base.client_base import TestcaseBase
from common import common_func as cf
from common import common_type as ct
from common.common_type import CaseLabel
from utils.util_log import test_log as log
prefix = "e2e_"
class TestE2e(TestcaseBase):
""" Test case of end to end"""
@pytes... | milvus/tests/python_client/testcases/test_e2e.py/0 | {
"file_path": "milvus/tests/python_client/testcases/test_e2e.py",
"repo_id": "milvus",
"token_count": 1824
} | 2,044 |
"""Wrapper around Together AI's Completion API."""
import logging
from typing import Any, Dict, List, Optional
from aiohttp import ClientSession
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchai... | langchain/libs/community/langchain_community/llms/together.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/together.py",
"repo_id": "langchain",
"token_count": 3162
} | 273 |
from langchain_community.tools.file_management.delete import (
DeleteFileTool,
FileDeleteInput,
)
__all__ = ["FileDeleteInput", "DeleteFileTool"]
| langchain/libs/langchain/langchain/tools/file_management/delete.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/file_management/delete.py",
"repo_id": "langchain",
"token_count": 50
} | 574 |
from typing import List, Optional
from langchain_core.pydantic_v1 import BaseModel
class Validation(BaseModel):
"""Connery Action parameter validation model."""
required: Optional[bool] = None
class Parameter(BaseModel):
"""Connery Action parameter model."""
key: str
title: str
descriptio... | langchain/libs/community/langchain_community/tools/connery/models.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/connery/models.py",
"repo_id": "langchain",
"token_count": 214
} | 304 |
from __future__ import annotations
import os
from typing import (
TYPE_CHECKING,
List,
Optional,
Union,
)
if TYPE_CHECKING:
import rdflib
class OntotextGraphDBGraph:
"""Ontotext GraphDB https://graphdb.ontotext.com/ wrapper for graph operations.
*Security note*: Make sure that the datab... | langchain/libs/community/langchain_community/graphs/ontotext_graphdb_graph.py/0 | {
"file_path": "langchain/libs/community/langchain_community/graphs/ontotext_graphdb_graph.py",
"repo_id": "langchain",
"token_count": 3281
} | 258 |
import type { Embeddings } from "../embeddings.js";
import type {
VectorStoreInterface,
VectorStoreRetrieverInterface,
VectorStore,
} from "../vectorstores.js";
import type { Example } from "../prompts/base.js";
import { Document } from "../documents/document.js";
import { BaseExampleSelector } from "./base.js";
... | langchainjs/langchain-core/src/example_selectors/semantic_similarity.ts/0 | {
"file_path": "langchainjs/langchain-core/src/example_selectors/semantic_similarity.ts",
"repo_id": "langchainjs",
"token_count": 2283
} | 859 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/evaluation/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/evaluation/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,309 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-guru/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-guru/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,331 |
# coding=utf-8
# Copyright 2020-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 ap... | transformers/src/transformers/trainer_callback.py/0 | {
"file_path": "transformers/src/transformers/trainer_callback.py",
"repo_id": "transformers",
"token_count": 9727
} | 714 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "embeddings/base",
newEntrypointName: "embeddings",
newPackageName: "@langchain/core",
});
export * from "@langchain/core/embeddings";
| langchainjs/langchain/src/embeddings/base.ts/0 | {
"file_path": "langchainjs/langchain/src/embeddings/base.ts",
"repo_id": "langchainjs",
"token_count": 94
} | 901 |
"""Test embedding model integration."""
from unittest.mock import Mock
import pytest
from ai21 import AI21Client, MissingApiKeyError
from ai21.models import EmbedResponse, EmbedResult, EmbedType
from pytest_mock import MockerFixture
from langchain_ai21.embeddings import AI21Embeddings
from tests.unit_tests.conftest i... | langchain/libs/partners/ai21/tests/unit_tests/test_embeddings.py/0 | {
"file_path": "langchain/libs/partners/ai21/tests/unit_tests/test_embeddings.py",
"repo_id": "langchain",
"token_count": 929
} | 639 |
<jupyter_start><jupyter_text>Memgraph QA chainThis notebook shows how to use LLMs to provide a natural language interface to a [Memgraph](https://github.com/memgraph/memgraph) database. To complete this tutorial, you will need [Docker](https://www.docker.com/get-started/) and [Python 3.x](https://www.python.org/) insta... | langchain/docs/docs/use_cases/graph/graph_memgraph_qa.ipynb/0 | {
"file_path": "langchain/docs/docs/use_cases/graph/graph_memgraph_qa.ipynb",
"repo_id": "langchain",
"token_count": 3859
} | 217 |
# 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/mbart/test_modeling_flax_mbart.py/0 | {
"file_path": "transformers/tests/models/mbart/test_modeling_flax_mbart.py",
"repo_id": "transformers",
"token_count": 8921
} | 796 |
import os
from pathlib import Path
from langchain_community import chat_models, llms
from langchain_core.language_models.chat_models import BaseChatModel, SimpleChatModel
from langchain_core.language_models.llms import LLM, BaseLLM
INTEGRATIONS_DIR = Path(os.path.abspath(__file__)).parents[1] / "docs" / "integrations... | langchain/docs/scripts/model_feat_table.py/0 | {
"file_path": "langchain/docs/scripts/model_feat_table.py",
"repo_id": "langchain",
"token_count": 2637
} | 195 |
use candle::{Result, Tensor};
use serde::Deserialize;
#[derive(Debug, Clone, Copy, PartialEq, Deserialize, Default)]
#[serde(rename_all = "lowercase")]
pub enum Activation {
#[default]
Gelu,
#[serde(alias = "gelu_new")]
NewGelu,
Relu,
Relu2,
Relu6,
Silu,
Sigmoid,
HardSigmoid,
... | candle/candle-nn/src/activation.rs/0 | {
"file_path": "candle/candle-nn/src/activation.rs",
"repo_id": "candle",
"token_count": 1570
} | 55 |
# Telegram Loader
This loader fetches posts/chat messages/comments from Telegram channels or chats into `Document`s.
Before working with Telegram’s API, you need to get your own API ID and hash:
1. [Login to your Telegram account](https://my.telegram.org) with the phone number of the developer account to use.
2. Cli... | llama_index/llama-index-integrations/readers/llama-index-readers-telegram/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-telegram/README.md",
"repo_id": "llama_index",
"token_count": 642
} | 1,385 |
import shutil
import os
from typing import List, Hashable
import hypothesis.strategies as st
import onnxruntime
import pytest
from hypothesis import given, settings
from chromadb.utils.embedding_functions import ONNXMiniLM_L6_V2, _verify_sha256
def unique_by(x: Hashable) -> Hashable:
return x
@settings(deadli... | chroma/chromadb/test/ef/test_default_ef.py/0 | {
"file_path": "chroma/chromadb/test/ef/test_default_ef.py",
"repo_id": "chroma",
"token_count": 1193
} | 26 |
from rag_self_query.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-self-query/rag_self_query/__init__.py/0 | {
"file_path": "langchain/templates/rag-self-query/rag_self_query/__init__.py",
"repo_id": "langchain",
"token_count": 20
} | 666 |
# coding=utf-8
# Copyright 2018 The Open AI Team Authors and 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
#
# ... | transformers/src/transformers/models/openai/tokenization_openai.py/0 | {
"file_path": "transformers/src/transformers/models/openai/tokenization_openai.py",
"repo_id": "transformers",
"token_count": 7047
} | 642 |
from llama_index.core.output_parsers.base import ChainableOutputParser
from llama_index.output_parsers.langchain import LangchainOutputParser
def test_class():
names_of_base_classes = [b.__name__ for b in LangchainOutputParser.__mro__]
assert ChainableOutputParser.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/tests/test_output_parsers_langchain.py/0 | {
"file_path": "llama_index/llama-index-integrations/output_parsers/llama-index-output-parsers-langchain/tests/test_output_parsers_langchain.py",
"repo_id": "llama_index",
"token_count": 100
} | 1,294 |
"""Wrapper around wikipedia API."""
from typing import Union
from langchain_core.documents import Document
from langchain_community.docstore.base import Docstore
class Wikipedia(Docstore):
"""Wrapper around wikipedia API."""
def __init__(self) -> None:
"""Check that wikipedia package is installed... | langchain/libs/community/langchain_community/docstore/wikipedia.py/0 | {
"file_path": "langchain/libs/community/langchain_community/docstore/wikipedia.py",
"repo_id": "langchain",
"token_count": 602
} | 224 |
# LlamaIndex Readers Integration: Github
| llama_index/llama-index-integrations/readers/llama-index-readers-github/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-github/README.md",
"repo_id": "llama_index",
"token_count": 9
} | 1,324 |
import json
from typing import List
import requests
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseModel, Field
class BraveSearchWrapper(BaseModel):
"""Wrapper around the Brave search engine."""
api_key: str
"""The API key to use for the Brave search engine."""
... | langchain/libs/community/langchain_community/utilities/brave_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/brave_search.py",
"repo_id": "langchain",
"token_count": 994
} | 299 |
# Twitter
>[Twitter](https://twitter.com/) is an online social media and social networking service.
## Installation and Setup
```bash
pip install tweepy
```
We must initialize the loader with the `Twitter API` token, and we need to set up the Twitter `username`.
## Document Loader
See a [usage example](/docs/in... | langchain/docs/docs/integrations/providers/twitter.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/twitter.mdx",
"repo_id": "langchain",
"token_count": 121
} | 148 |
"""GitHub Toolkit."""
from typing import Dict, List
from langchain_community.agent_toolkits.base import BaseToolkit
from langchain_community.tools import BaseTool
from langchain_community.tools.gitlab.prompt import (
COMMENT_ON_ISSUE_PROMPT,
CREATE_FILE_PROMPT,
CREATE_PULL_REQUEST_PROMPT,
DELETE_FILE_P... | langchain/libs/community/langchain_community/agent_toolkits/gitlab/toolkit.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/gitlab/toolkit.py",
"repo_id": "langchain",
"token_count": 1496
} | 228 |
/*!
**************************************************************************************************
* 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/cuda/ms_deform_attn_cuda.cuh/0 | {
"file_path": "transformers/src/transformers/kernels/deformable_detr/cuda/ms_deform_attn_cuda.cuh",
"repo_id": "transformers",
"token_count": 34703
} | 599 |
<!--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/it/debugging.md/0 | {
"file_path": "transformers/docs/source/it/debugging.md",
"repo_id": "transformers",
"token_count": 5635
} | 507 |
# 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/ctrl/test_modeling_tf_ctrl.py/0 | {
"file_path": "transformers/tests/models/ctrl/test_modeling_tf_ctrl.py",
"repo_id": "transformers",
"token_count": 4926
} | 726 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.awadb import AwaDBVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in AwaDBVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/tests/test_vector_stores_awadb.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/tests/test_vector_stores_awadb.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,593 |
from langchain_core.agents import AgentAction, AgentActionMessageLog, AgentFinish
__all__ = ["AgentAction", "AgentActionMessageLog", "AgentFinish"]
| langchain/libs/langchain/langchain/schema/agent.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/agent.py",
"repo_id": "langchain",
"token_count": 39
} | 541 |
#pragma once
namespace fluent
{
#define NAMED_TYPE_VERSION_MAJOR 1
#define NAMED_TYPE_VERSION_MINOR 1
#define NAMED_TYPE_VERSION_PATCH 0
#define NAMED_TYPE_VERSION "1.1.0"
} // namespace fluent
| milvus/internal/core/thirdparty/NamedType/version.hpp/0 | {
"file_path": "milvus/internal/core/thirdparty/NamedType/version.hpp",
"repo_id": "milvus",
"token_count": 78
} | 1,811 |
import { base } from "$app/paths";
import { requiresUser } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { fail, type Actions, redirect } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { z } from "zod";
import { sha256 } from "$lib/utils/sha256";
import sharp fr... | chat-ui/src/routes/settings/assistants/[assistantId]/edit/+page.server.ts/0 | {
"file_path": "chat-ui/src/routes/settings/assistants/[assistantId]/edit/+page.server.ts",
"repo_id": "chat-ui",
"token_count": 1573
} | 116 |
{"sender_name": "User 2", "timestamp_ms": 1675597571851, "content": "Bye!"}
{"sender_name": "User 1", "timestamp_ms": 1675597435669, "content": "Oh no worries! Bye"}
{"sender_name": "User 2", "timestamp_ms": 1675596277579, "content": "No Im sorry it was my mistake, the blue one is not for sale"}
| langchain/docs/docs/integrations/document_loaders/example_data/facebook_chat_messages.jsonl/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/example_data/facebook_chat_messages.jsonl",
"repo_id": "langchain",
"token_count": 110
} | 112 |
# 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... | accelerate/tests/test_offload.py/0 | {
"file_path": "accelerate/tests/test_offload.py",
"repo_id": "accelerate",
"token_count": 1981
} | 24 |
import tempfile
import urllib.request
import pytest
from langchain_core.documents import Document
# from langchain_community.vectorstores.vectara import Vectara, SummaryConfig
from langchain_community.vectorstores.vectara import SummaryConfig, Vectara
from tests.integration_tests.vectorstores.fake_embeddings import F... | langchain/libs/community/tests/integration_tests/vectorstores/test_vectara.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_vectara.py",
"repo_id": "langchain",
"token_count": 3603
} | 363 |
# candle-mixtral: 8x7b LLM using a sparse mixture of experts.
Mixtral-8x7B-v0.1 is a pretrained generative LLM with 56 billion parameters.
- [Blog post](https://mistral.ai/news/mixtral-of-experts/) from Mistral announcing the model release.
- [Model card](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the Hu... | candle/candle-examples/examples/mixtral/README.md/0 | {
"file_path": "candle/candle-examples/examples/mixtral/README.md",
"repo_id": "candle",
"token_count": 322
} | 51 |
from __future__ import annotations
from typing import Any, Dict, List, Mapping, Optional
from urllib.parse import urlparse
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import LLM
from langchain_core.pydantic_v1 import Field, PrivateAttr
class Mlflow(LLM):
"""... | langchain/libs/community/langchain_community/llms/mlflow.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/mlflow.py",
"repo_id": "langchain",
"token_count": 1563
} | 283 |
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/utils/check_dummies.py/0 | {
"file_path": "transformers/utils/check_dummies.py",
"repo_id": "transformers",
"token_count": 3337
} | 810 |
# flake8: noqa
QUERY_CHECKER = """
{query}
Double check the {dialect} query above for common mistakes, including:
- Using NOT IN with NULL values
- Using UNION when UNION ALL should have been used
- Using BETWEEN for exclusive ranges
- Data type mismatch in predicates
- Properly quoting identifiers
- Using the correct ... | langchain/libs/community/langchain_community/tools/sql_database/prompt.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/sql_database/prompt.py",
"repo_id": "langchain",
"token_count": 148
} | 321 |
build_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/binary_50m_512_jaccard_ivf
cache_config.cpu_cache_capacity: 8GB
gpu_resource_config.enable: false
collection_name: binary_50m_512_jaccard
index_type: bin_ivf_flat
index_param:... | milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_build_binary.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_cpu_build_binary.yaml",
"repo_id": "milvus",
"token_count": 160
} | 2,085 |
import asyncio
import logging
import warnings
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Dict, Iterator, List, Optional, Union, cast
import aiohttp
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = lo... | langchain/libs/community/langchain_community/document_loaders/async_html.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/async_html.py",
"repo_id": "langchain",
"token_count": 3861
} | 244 |
import { FaissStore } from "@langchain/community/vectorstores/faiss";
import { OpenAIEmbeddings, ChatOpenAI } from "@langchain/openai";
import { TextLoader } from "langchain/document_loaders/fs/text";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import {
createRetrieverTool,
createConve... | langchainjs/examples/src/guides/conversational_retrieval/agent.ts/0 | {
"file_path": "langchainjs/examples/src/guides/conversational_retrieval/agent.ts",
"repo_id": "langchainjs",
"token_count": 714
} | 773 |
#!/usr/bin/env python3
""" This script is adapted from the Bertology pruning code (https://github.com/huggingface/transformers/blob/783d7d2629e97c5f0c5f9ef01b8c66410275c204/examples/research_projects/bertology/run_bertology.py)
to prune GPT-like models. The author is @altsoph.
"""
import argparse
import logging
import... | transformers/examples/research_projects/bertology/run_prune_gpt.py/0 | {
"file_path": "transformers/examples/research_projects/bertology/run_prune_gpt.py",
"repo_id": "transformers",
"token_count": 6338
} | 520 |
[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 = ["TextEmbeddingsInference"]
contains_example = false
import_path = "llama_index.embeddings.... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/pyproject.toml",
"repo_id": "llama_index",
"token_count": 690
} | 1,203 |
from typing import Dict, List
import requests
def get_pdb_publications_from_rcsb(pdb_id: str) -> List[Dict]:
base_url = "https://data.rcsb.org/rest/v1/core/"
pubmed_query = f"{base_url}pubmed/{pdb_id}"
entry_query = f"{base_url}entry/{pdb_id}"
pubmed_response = requests.get(pubmed_query)
entry_re... | llama_index/llama-index-integrations/readers/llama-index-readers-pdb/llama_index/readers/pdb/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pdb/llama_index/readers/pdb/utils.py",
"repo_id": "llama_index",
"token_count": 1129
} | 1,415 |
<jupyter_start><jupyter_text>Retrieve as you generate with FLAREThis notebook is an implementation of Forward-Looking Active REtrieval augmented generation (FLARE).Please see the original repo [here](https://github.com/jzbjyb/FLARE/tree/main).The basic idea is:- Start answering a question- If you start generating token... | langchain/cookbook/forward_looking_retrieval_augmented_generation.ipynb/0 | {
"file_path": "langchain/cookbook/forward_looking_retrieval_augmented_generation.ipynb",
"repo_id": "langchain",
"token_count": 1324
} | 77 |
import base64
import email
from typing import Dict, Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_community.tools.gmail.base import GmailBaseTool
from langchain_community.tools.gmail.utils import clean_email_body
... | langchain/libs/community/langchain_community/tools/gmail/get_message.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/gmail/get_message.py",
"repo_id": "langchain",
"token_count": 963
} | 303 |
from llama_index.packs.nebulagraph_query_engine.base import NebulaGraphQueryEnginePack
__all__ = ["NebulaGraphQueryEnginePack"]
| llama_index/llama-index-packs/llama-index-packs-nebulagraph-query-engine/llama_index/packs/nebulagraph_query_engine/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-nebulagraph-query-engine/llama_index/packs/nebulagraph_query_engine/__init__.py",
"repo_id": "llama_index",
"token_count": 39
} | 1,857 |
from langchain_core.output_parsers.base import (
BaseGenerationOutputParser,
BaseLLMOutputParser,
BaseOutputParser,
)
from langchain_core.output_parsers.json import JsonOutputParser, SimpleJsonOutputParser
from langchain_core.output_parsers.list import (
CommaSeparatedListOutputParser,
ListOutputPar... | langchain/libs/core/langchain_core/output_parsers/__init__.py/0 | {
"file_path": "langchain/libs/core/langchain_core/output_parsers/__init__.py",
"repo_id": "langchain",
"token_count": 353
} | 393 |
import enum
import os
from typing import Optional
from huggingface_hub.utils import insecure_hashlib
from .. import config
from .logging import get_logger
logger = get_logger(__name__)
class VerificationMode(enum.Enum):
"""`Enum` that specifies which verification checks to run.
The default mode is `BASIC... | datasets/src/datasets/utils/info_utils.py/0 | {
"file_path": "datasets/src/datasets/utils/info_utils.py",
"repo_id": "datasets",
"token_count": 1893
} | 150 |
import base64
import logging
from typing import Tuple, Any, cast
from overrides import override
from pydantic import SecretStr
from chromadb.auth import (
ServerAuthProvider,
ClientAuthProvider,
ServerAuthenticationRequest,
ServerAuthCredentialsProvider,
AuthInfoType,
BasicAuthCredentials,
... | chroma/chromadb/auth/basic/__init__.py/0 | {
"file_path": "chroma/chromadb/auth/basic/__init__.py",
"repo_id": "chroma",
"token_count": 1535
} | 14 |
/* eslint-disable import/first */
/* eslint-disable arrow-body-style */
/* eslint-disable import/no-duplicates */
import { ChatOpenAI } from "@langchain/openai";
const chat = new ChatOpenAI({
modelName: "gpt-3.5-turbo-1106",
temperature: 0.2,
});
import { HumanMessage } from "@langchain/core/messages";
await ch... | langchainjs/examples/src/use_cases/chatbots/quickstart.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/chatbots/quickstart.ts",
"repo_id": "langchainjs",
"token_count": 2095
} | 854 |
# Copyright 2021 The Fairseq Authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | transformers/src/transformers/models/m2m_100/convert_m2m100_original_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/m2m_100/convert_m2m100_original_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1220
} | 654 |
# Offline vs. Online Reinforcement Learning
Deep Reinforcement Learning (RL) is a framework **to build decision-making agents**. These agents aim to learn optimal behavior (policy) by interacting with the environment through **trial and error and receiving rewards as unique feedback**.
The agent’s goal **is to maximi... | deep-rl-class/units/en/unitbonus3/offline-online.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus3/offline-online.mdx",
"repo_id": "deep-rl-class",
"token_count": 708
} | 172 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/levit/test_modeling_levit.py/0 | {
"file_path": "transformers/tests/models/levit/test_modeling_levit.py",
"repo_id": "transformers",
"token_count": 7345
} | 733 |
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iterators import ThreadedIterator
from tqdm import ... | transformers/examples/research_projects/codeparrot/scripts/minhash_deduplication.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/scripts/minhash_deduplication.py",
"repo_id": "transformers",
"token_count": 4391
} | 581 |
import {
AgentActionOutputParser,
AgentExecutor,
LLMSingleActionAgent,
} from "langchain/agents";
import { LLMChain } from "langchain/chains";
import { ChatOpenAI } from "@langchain/openai";
import { Calculator } from "langchain/tools/calculator";
import {
BaseChatPromptTemplate,
SerializedBasePromptTemplate,... | langchainjs/examples/src/agents/custom_llm_agent_chat.ts/0 | {
"file_path": "langchainjs/examples/src/agents/custom_llm_agent_chat.ts",
"repo_id": "langchainjs",
"token_count": 1541
} | 790 |
[tool.poetry]
name = "rag-matching-engine"
version = "0.0.1"
description = "RAG using Google Cloud Platform's Vertex AI"
authors = ["Leonid Kuligin"]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
google-cloud-aiplatform = "^1.35.0"
[tool.poetry.group.dev.dependencies]
lang... | langchain/templates/rag-matching-engine/pyproject.toml/0 | {
"file_path": "langchain/templates/rag-matching-engine/pyproject.toml",
"repo_id": "langchain",
"token_count": 287
} | 734 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import { BaseChain, ChainInputs } from "langchain/chains";
import { BasePromptTemplate, PromptTemplate } from "@langchain/core/prompts";
import { CallbackManagerForChainRun } from "@langchain/core/callbacks/manager";
import { ChainV... | langchainjs/examples/src/chains/advanced_subclass_call.ts/0 | {
"file_path": "langchainjs/examples/src/chains/advanced_subclass_call.ts",
"repo_id": "langchainjs",
"token_count": 667
} | 817 |
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