text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/channel_manager_test.go/0 | {
"file_path": "milvus/internal/datanode/channel_manager_test.go",
"repo_id": "milvus",
"token_count": 2135
} | 1,919 |
// 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/metrics/metrics.go/0 | {
"file_path": "milvus/pkg/metrics/metrics.go",
"repo_id": "milvus",
"token_count": 1750
} | 1,916 |
<jupyter_start><jupyter_text>OpenAI Assistant Advanced Retrieval CookbookIn this notebook, we try out OpenAI Assistant API for advanced retrieval tasks, by plugging in a variety of query engine tools and datasets. The wrapper abstraction we use is our `OpenAIAssistantAgent` class, which allows us to plug in custom tool... | llama_index/docs/examples/agent/openai_assistant_query_cookbook.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/openai_assistant_query_cookbook.ipynb",
"repo_id": "llama_index",
"token_count": 5556
} | 1,069 |
// 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/funcutil/parallel_test.go/0 | {
"file_path": "milvus/pkg/util/funcutil/parallel_test.go",
"repo_id": "milvus",
"token_count": 1343
} | 2,105 |
"""Get evaluation utils.
NOTE: These are beta functions, might change.
"""
import asyncio
from collections import defaultdict
from typing import Any, List, Optional, Tuple
import numpy as np
import pandas as pd
from llama_index.legacy.async_utils import asyncio_module
from llama_index.legacy.core.base_query_engine... | llama_index/llama-index-legacy/llama_index/legacy/evaluation/eval_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/evaluation/eval_utils.py",
"repo_id": "llama_index",
"token_count": 813
} | 1,704 |
"""Tests for the Google Cloud DocAI parser."""
from unittest.mock import ANY, patch
import pytest
from langchain_community.document_loaders.parsers import DocAIParser
@pytest.mark.requires("google.cloud", "google.cloud.documentai")
def test_docai_parser_valid_processor_name() -> None:
processor_name = "projects... | langchain/libs/community/tests/integration_tests/document_loaders/parsers/test_docai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/parsers/test_docai.py",
"repo_id": "langchain",
"token_count": 398
} | 321 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/tvlt/processing_tvlt.py/0 | {
"file_path": "transformers/src/transformers/models/tvlt/processing_tvlt.py",
"repo_id": "transformers",
"token_count": 1327
} | 741 |
from langchain_core.tracers.schemas import (
BaseRun,
ChainRun,
LLMRun,
Run,
RunTypeEnum,
ToolRun,
TracerSession,
TracerSessionBase,
TracerSessionV1,
TracerSessionV1Base,
TracerSessionV1Create,
)
__all__ = [
"BaseRun",
"ChainRun",
"LLMRun",
"Run",
"RunTyp... | langchain/libs/langchain/langchain/callbacks/tracers/schemas.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/tracers/schemas.py",
"repo_id": "langchain",
"token_count": 223
} | 460 |
import { WikipediaQueryRun } from "@langchain/community/tools/wikipedia_query_run";
const tool = new WikipediaQueryRun({
topKResults: 3,
maxDocContentLength: 4000,
});
const res = await tool.call("Langchain");
console.log(res);
| langchainjs/examples/src/tools/wikipedia.ts/0 | {
"file_path": "langchainjs/examples/src/tools/wikipedia.ts",
"repo_id": "langchainjs",
"token_count": 73
} | 824 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "vectorstores/supabase",
});
export * from "@langchain/community/vectorstores/supabase";
| langchainjs/langchain/src/vectorstores/supabase.ts/0 | {
"file_path": "langchainjs/langchain/src/vectorstores/supabase.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 938 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "embeddings/cloudflare_workersai",
newEntrypointName: "",
newPackageName: "@langchain/cloudflare",
});
export * from "@langchain/community/embeddings/cloudflare_wo... | langchainjs/langchain/src/embeddings/cloudflare_workersai.ts/0 | {
"file_path": "langchainjs/langchain/src/embeddings/cloudflare_workersai.ts",
"repo_id": "langchainjs",
"token_count": 105
} | 874 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-kaltura/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-kaltura/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,467 |
"""[DEPRECATED] Zapier Toolkit."""
from typing import List
from langchain_core._api import warn_deprecated
from langchain_community.agent_toolkits.base import BaseToolkit
from langchain_community.tools import BaseTool
from langchain_community.tools.zapier.tool import ZapierNLARunAction
from langchain_community.utilit... | langchain/libs/community/langchain_community/agent_toolkits/zapier/toolkit.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/zapier/toolkit.py",
"repo_id": "langchain",
"token_count": 914
} | 234 |
"""Chroma Reader."""
from typing import Any, List, Optional, Union
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class ChromaReader(BaseReader):
"""Chroma reader.
Retrieve documents from existing persisted Chroma collections.
Args:
collection... | llama_index/llama-index-integrations/readers/llama-index-readers-chroma/llama_index/readers/chroma/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-chroma/llama_index/readers/chroma/base.py",
"repo_id": "llama_index",
"token_count": 1775
} | 1,302 |
// 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/index/ScalarIndexSort.h/0 | {
"file_path": "milvus/internal/core/src/index/ScalarIndexSort.h",
"repo_id": "milvus",
"token_count": 1430
} | 1,787 |
# This configures KinD to spin up a k8s cluster with trustworthy jwt (Service Account Token Volume Projection) feature.
kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
networking:
ipFamily: "ipv4"
kubeProxyMode: "iptables"
podSubnet: "10.247.0.0/16"
serviceSubnet: "10.248.0.0/16"
nodes:
- role: control-plane
-... | milvus/build/config/topology/trustworthy-jwt.yaml/0 | {
"file_path": "milvus/build/config/topology/trustworthy-jwt.yaml",
"repo_id": "milvus",
"token_count": 571
} | 1,713 |
// 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/local_worker.go/0 | {
"file_path": "milvus/internal/querynodev2/local_worker.go",
"repo_id": "milvus",
"token_count": 852
} | 1,770 |
""" Logging helpers
Hacked together by / Copyright 2020 Ross Wightman
"""
import logging
import logging.handlers
class FormatterNoInfo(logging.Formatter):
def __init__(self, fmt='%(levelname)s: %(message)s'):
logging.Formatter.__init__(self, fmt)
def format(self, record):
if record.levelno =... | pytorch-image-models/timm/utils/log.py/0 | {
"file_path": "pytorch-image-models/timm/utils/log.py",
"repo_id": "pytorch-image-models",
"token_count": 383
} | 354 |
# LlamaIndex Vector Stores Integration: Docarray
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-docarray/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,523 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class AlbertTokenizerFast(metaclass=DummyObject):
_backends = ["tokenizers"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["tokenizers"])
class BartTokenize... | transformers/src/transformers/utils/dummy_tokenizers_objects.py/0 | {
"file_path": "transformers/src/transformers/utils/dummy_tokenizers_objects.py",
"repo_id": "transformers",
"token_count": 4238
} | 736 |
<jupyter_start><jupyter_text>Weather>[OpenWeatherMap](https://openweathermap.org/) is an open-source weather service providerThis loader fetches the weather data from the OpenWeatherMap's OneCall API, using the pyowm Python package. You must initialize the loader with your OpenWeatherMap API token and the names of the ... | langchain/docs/docs/integrations/document_loaders/weather.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/weather.ipynb",
"repo_id": "langchain",
"token_count": 242
} | 112 |
## java_client | milvus/tests/java_client/README.md/0 | {
"file_path": "milvus/tests/java_client/README.md",
"repo_id": "milvus",
"token_count": 4
} | 1,889 |
import { z } from "zod";
import { GmailBaseTool, GmailBaseToolParams } from "./base.js";
import { CREATE_DRAFT_DESCRIPTION } from "./descriptions.js";
export class GmailCreateDraft extends GmailBaseTool {
name = "create_gmail_draft";
schema = z.object({
message: z.string(),
to: z.array(z.string()),
su... | langchainjs/libs/langchain-community/src/tools/gmail/create_draft.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/gmail/create_draft.ts",
"repo_id": "langchainjs",
"token_count": 660
} | 1,039 |
// Copyright 2019 PingCAP, Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to i... | milvus/pkg/log/config.go/0 | {
"file_path": "milvus/pkg/log/config.go",
"repo_id": "milvus",
"token_count": 1256
} | 1,893 |
#!/bin/bash
namespace="default"
root_path="by-dev"
operation="migrate"
image_tag="milvusdb/milvus:v2.2.0"
meta_migration_pod_tag="milvusdb/meta-migration:v2.2.0-bugfix-20230112"
remove_migrate_pod_after_migrate="false"
storage_class=""
external_etcd_svc=""
etcd_svc=""
#-n namespace: The namespace that Milvus is insta... | milvus/deployments/migrate-meta/migrate.sh/0 | {
"file_path": "milvus/deployments/migrate-meta/migrate.sh",
"repo_id": "milvus",
"token_count": 6225
} | 1,626 |
# 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/x_clip/test_modeling_x_clip.py/0 | {
"file_path": "transformers/tests/models/x_clip/test_modeling_x_clip.py",
"repo_id": "transformers",
"token_count": 12605
} | 834 |
from typing import Any, Iterable, List, Optional, Tuple
from uuid import uuid4
import numpy as np
import requests
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_env
from langchain_core.vectorstores import VectorStore
from langch... | langchain/libs/community/langchain_community/vectorstores/semadb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/semadb.py",
"repo_id": "langchain",
"token_count": 4550
} | 329 |
package storage
// Option for setting params used by chunk manager client.
type config struct {
address string
bucketName string
accessKeyID string
secretAccessKeyID string
useSSL bool
createBucket bool
rootPath string
useIAM bool
cloudProvider st... | milvus/internal/storage/options.go/0 | {
"file_path": "milvus/internal/storage/options.go",
"repo_id": "milvus",
"token_count": 728
} | 1,890 |
<!---
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/es/installation.md/0 | {
"file_path": "transformers/docs/source/es/installation.md",
"repo_id": "transformers",
"token_count": 3629
} | 514 |
# 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/models/speech_to_text/test_feature_extraction_speech_to_text.py/0 | {
"file_path": "transformers/tests/models/speech_to_text/test_feature_extraction_speech_to_text.py",
"repo_id": "transformers",
"token_count": 6315
} | 736 |
from __future__ import annotations
import logging
from typing import Any, Dict, Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import root_validator
from langchain_core.tools import BaseTool
from langchain_core.utils import get_from_dict_or_env
logger = loggin... | langchain/libs/community/langchain_community/tools/azure_cognitive_services/text_analytics_health.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/azure_cognitive_services/text_analytics_health.py",
"repo_id": "langchain",
"token_count": 1541
} | 282 |
# 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/blip/test_modeling_blip.py/0 | {
"file_path": "transformers/tests/models/blip/test_modeling_blip.py",
"repo_id": "transformers",
"token_count": 24002
} | 750 |
<jupyter_start><jupyter_text>Huggingface Sagemaker - Vision Transformer Image Classification with the `google/vit` on `cifar10` 1. [Introduction](Introduction) 2. [Development Environment and Permissions](Development-Environment-and-Permissions) 1. [Installation](Installation) 3. [Permissions](Permissions)3. ... | notebooks/sagemaker/09_image_classification_vision_transformer/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/09_image_classification_vision_transformer/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 2887
} | 308 |
# coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/auto/modeling_tf_auto.py/0 | {
"file_path": "transformers/src/transformers/models/auto/modeling_tf_auto.py",
"repo_id": "transformers",
"token_count": 12149
} | 643 |
from langchain_exa import ExaSearchResults
def test_search_tool() -> None:
tool = ExaSearchResults()
res = tool.invoke({"query": "best time to visit japan", "num_results": 5})
print(res) # noqa: T201
assert not isinstance(res, str) # str means error for this tool\
| langchain/libs/partners/exa/tests/integration_tests/test_search_tool.py/0 | {
"file_path": "langchain/libs/partners/exa/tests/integration_tests/test_search_tool.py",
"repo_id": "langchain",
"token_count": 100
} | 663 |
import { test, expect } from "@jest/globals";
import { StringOutputParser } from "@langchain/core/output_parsers";
import { OpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
import { PythonInterpreterTool } from "../pyinterpreter.js";
describe("Python Interpreter testsuite", ... | langchainjs/langchain/src/experimental/tools/tests/pyinterpreter.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/tools/tests/pyinterpreter.int.test.ts",
"repo_id": "langchainjs",
"token_count": 316
} | 887 |
import DocCardList from "@theme/DocCardList";
# Evaluation
Building applications with language models involves many moving parts. One of the most critical components is ensuring that the outcomes produced by your models are reliable and useful across a broad array of inputs, and that they work well with your applicat... | langchain/docs/docs/guides/evaluation/index.mdx/0 | {
"file_path": "langchain/docs/docs/guides/evaluation/index.mdx",
"repo_id": "langchain",
"token_count": 796
} | 93 |
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.embeddings.bedrock import BedrockEmbedding
def test_class():
names_of_base_classes = [b.__name__ for b in BedrockEmbedding.__mro__]
assert BaseEmbedding.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/tests/test_bedrock_embedding.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/tests/test_bedrock_embedding.py",
"repo_id": "llama_index",
"token_count": 100
} | 1,355 |
"""
GitHub repository collaborators reader.
Retrieves the list of collaborators in a GitHub repository and converts them to documents.
Each collaborator is converted to a document by doing the following:
- The text of the document is the login.
- The title of the document is also the login.
- The extra_i... | llama_index/llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/collaborators/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-github/llama_index/readers/github/collaborators/base.py",
"repo_id": "llama_index",
"token_count": 2569
} | 1,370 |
package tencent
import (
"fmt"
"github.com/cockroachdb/errors"
"github.com/minio/minio-go/v7"
minioCred "github.com/minio/minio-go/v7/pkg/credentials"
"github.com/tencentcloud/tencentcloud-sdk-go/tencentcloud/common"
)
// NewMinioClient returns a minio.Client which is compatible for tencent OSS
func NewMinioCli... | milvus/internal/storage/tencent/tencent.go/0 | {
"file_path": "milvus/internal/storage/tencent/tencent.go",
"repo_id": "milvus",
"token_count": 924
} | 1,865 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-awadb/llama_index/readers/awadb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-awadb/llama_index/readers/awadb/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,467 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/metacache/storagev2_cache.go/0 | {
"file_path": "milvus/internal/datanode/metacache/storagev2_cache.go",
"repo_id": "milvus",
"token_count": 734
} | 1,806 |
---
sidebar_class_name: node-only
---
import CodeBlock from "@theme/CodeBlock";
# Rockset
[Rockset](https://rockset.com) is a real-time analyitics SQL database that runs in the cloud.
Rockset provides vector search capabilities, in the form of [SQL functions](https://rockset.com/docs/vector-functions/#vector-distanc... | langchainjs/docs/core_docs/docs/integrations/vectorstores/rockset.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/rockset.mdx",
"repo_id": "langchainjs",
"token_count": 279
} | 730 |
import type { Config } from "@jest/types";
const config: Config.InitialOptions = {
preset: "ts-jest",
testEnvironment: "node",
clearMocks: true,
collectCoverage: false,
testTimeout: 15000,
coverageDirectory: "./test/coverage",
coverageReporters: ["json", "html", "lcov"],
collectCoverageFrom: [
"./s... | chroma/clients/js/jest.config.ts/0 | {
"file_path": "chroma/clients/js/jest.config.ts",
"repo_id": "chroma",
"token_count": 181
} | 33 |
from __future__ import annotations
import logging
import uuid
from typing import Any, Iterable, List, Optional, Tuple
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
from langchain_community.vectorstores.utils import D... | langchain/libs/community/langchain_community/vectorstores/kdbai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/kdbai.py",
"repo_id": "langchain",
"token_count": 4228
} | 337 |
// 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/datacoord/session.go/0 | {
"file_path": "milvus/internal/datacoord/session.go",
"repo_id": "milvus",
"token_count": 738
} | 1,797 |
from langchain.agents.openai_assistant.base import OpenAIAssistantRunnable
__all__ = ["OpenAIAssistantRunnable"]
| langchain/libs/langchain/langchain/agents/openai_assistant/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/openai_assistant/__init__.py",
"repo_id": "langchain",
"token_count": 39
} | 442 |
# coding=utf-8
# Copyright 2023 The HuggingFace Team 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... | transformers/src/transformers/models/fastspeech2_conformer/tokenization_fastspeech2_conformer.py/0 | {
"file_path": "transformers/src/transformers/models/fastspeech2_conformer/tokenization_fastspeech2_conformer.py",
"repo_id": "transformers",
"token_count": 2855
} | 671 |
from langchain_community.graphs.arangodb_graph import ArangoGraph, get_arangodb_client
__all__ = [
"ArangoGraph",
"get_arangodb_client",
]
| langchain/libs/langchain/langchain/graphs/arangodb_graph.py/0 | {
"file_path": "langchain/libs/langchain/langchain/graphs/arangodb_graph.py",
"repo_id": "langchain",
"token_count": 61
} | 505 |
<!--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/tasks/visual_question_answering.md/0 | {
"file_path": "transformers/docs/source/en/tasks/visual_question_answering.md",
"repo_id": "transformers",
"token_count": 4862
} | 475 |
import { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
import {
AsyncCaller,
AsyncCallerCallOptions,
} from "@langchain/core/utils/async_caller";
import { GenerationChunk } from "@langchain/core/outputs";
import type {
GoogleVertexAIBaseLLMInput,
GoogleVertexAIBasePrediction,
Goo... | langchainjs/libs/langchain-community/src/utils/googlevertexai-connection.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/utils/googlevertexai-connection.ts",
"repo_id": "langchainjs",
"token_count": 4414
} | 1,045 |
# notebooks
Notebooks using the Hugging Face libraries 🤗
| notebooks/README.md/0 | {
"file_path": "notebooks/README.md",
"repo_id": "notebooks",
"token_count": 15
} | 282 |
package console
import (
"testing"
)
func TestSuccess(t *testing.T) {
Success("success")
}
func TestError(t *testing.T) {
Error("error")
}
func TestWarning(t *testing.T) {
Warning("warning")
}
func TestExitIf(t *testing.T) {
ExitIf(nil)
}
| milvus/cmd/tools/migration/console/console_test.go/0 | {
"file_path": "milvus/cmd/tools/migration/console/console_test.go",
"repo_id": "milvus",
"token_count": 100
} | 1,842 |
python_tests()
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-dashscope/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,308 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/multi_modal_llms/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/multi_modal_llms/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,540 |
# 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_repo.py/0 | {
"file_path": "transformers/utils/check_repo.py",
"repo_id": "transformers",
"token_count": 19261
} | 776 |
from pathlib import Path
from langchain_community.document_loaders import WhatsAppChatLoader
def test_whatsapp_chat_loader() -> None:
"""Test WhatsAppChatLoader."""
file_path = Path(__file__).parent.parent / "examples" / "whatsapp_chat.txt"
loader = WhatsAppChatLoader(str(file_path))
docs = loader.lo... | langchain/libs/community/tests/integration_tests/document_loaders/test_whatsapp_chat.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_whatsapp_chat.py",
"repo_id": "langchain",
"token_count": 416
} | 359 |
import CodeBlock from "@theme/CodeBlock";
# CloseVector
:::tip Compatibility
available on both browser and Node.js
:::
[CloseVector](https://closevector.getmegaportal.com/) is a cross-platform vector database that can run in both the browser and Node.js. For example, you can create your index on Node.js and then loa... | langchainjs/docs/core_docs/docs/integrations/vectorstores/closevector.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/closevector.mdx",
"repo_id": "langchainjs",
"token_count": 567
} | 794 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is... | diffusers/src/diffusers/pipelines/audioldm/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/audioldm/__init__.py",
"repo_id": "diffusers",
"token_count": 581
} | 250 |
import logging
from typing import Callable, List, Optional, cast
from nltk.stem import PorterStemmer
from llama_index.legacy.callbacks.base import CallbackManager
from llama_index.legacy.constants import DEFAULT_SIMILARITY_TOP_K
from llama_index.legacy.core.base_retriever import BaseRetriever
from llama_index.legacy.... | llama_index/llama-index-legacy/llama_index/legacy/retrievers/bm25_retriever.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/retrievers/bm25_retriever.py",
"repo_id": "llama_index",
"token_count": 1621
} | 1,599 |
"""DashScope api utils."""
from http import HTTPStatus
from typing import Any, Dict, List, Sequence
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
CompletionResponse,
)
def dashscope_response_to_completion_response(
response: Any, stream: bool = False
) -> CompletionResp... | llama_index/llama-index-legacy/llama_index/legacy/llms/dashscope_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/dashscope_utils.py",
"repo_id": "llama_index",
"token_count": 522
} | 1,586 |
import argparse
import json
import os
import tensorstore as ts
import torch
from flax import serialization
from flax.traverse_util import flatten_dict, unflatten_dict
from tensorflow.io import gfile
from transformers.modeling_utils import dtype_byte_size
from transformers.models.switch_transformers.convert_switch_tra... | transformers/src/transformers/models/switch_transformers/convert_big_switch.py/0 | {
"file_path": "transformers/src/transformers/models/switch_transformers/convert_big_switch.py",
"repo_id": "transformers",
"token_count": 3229
} | 684 |
import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List
import git
import torch
from torch.utils.data import Dataset
from transfo... | transformers/examples/research_projects/rag-end2end-retriever/utils_rag.py/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/utils_rag.py",
"repo_id": "transformers",
"token_count": 3495
} | 598 |
import { Serializable } from "./load/serializable.js";
/** @deprecated For backwards compatibility only. Remove on next minor version upgrade. */
export interface BaseStoreInterface<K, V> {
/**
* Method to get multiple values for a set of keys.
* @param {K[]} keys - An array of keys.
* @returns {Promise<(V ... | langchainjs/langchain-core/src/stores.ts/0 | {
"file_path": "langchainjs/langchain-core/src/stores.ts",
"repo_id": "langchainjs",
"token_count": 798
} | 882 |
from langchain_core.tracers.root_listeners import RootListenersTracer
__all__ = ["RootListenersTracer"]
| langchain/libs/langchain/langchain/schema/callbacks/tracers/root_listeners.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/callbacks/tracers/root_listeners.py",
"repo_id": "langchain",
"token_count": 33
} | 575 |
# Language models in RL
## LMs encode useful knowledge for agents
**Language models** (LMs) can exhibit impressive abilities when manipulating text such as question-answering or even step-by-step reasoning. Additionally, their training on massive text corpora allowed them to **encode various types of knowledge includi... | deep-rl-class/units/en/unitbonus3/language-models.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus3/language-models.mdx",
"repo_id": "deep-rl-class",
"token_count": 1011
} | 177 |
import re
import sys
import tempfile
import unittest
from pathlib import Path
import pytest
import yaml
from huggingface_hub import DatasetCard, DatasetCardData
from datasets.config import METADATA_CONFIGS_FIELD
from datasets.info import DatasetInfo
from datasets.utils.metadata import MetadataConfigs
def _dedent(st... | datasets/tests/test_metadata_util.py/0 | {
"file_path": "datasets/tests/test_metadata_util.py",
"repo_id": "datasets",
"token_count": 5453
} | 149 |
#include "compat.cuh"
__forceinline__ __device__ half2 dot22_8(half2(&dq)[4], const half* a_ptr, const half2 g_result)
{
half2 result = {};
const half2* a2_ptr = (const half2*)a_ptr;
#pragma unroll
for (int i = 0; i < 4; i++) result = __hfma2(dq[i], *a2_ptr++, result);
return __hadd2(result, g_resu... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel_gptq.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel_gptq.cuh",
"repo_id": "text-generation-inference",
"token_count": 4839
} | 439 |
<jupyter_start><jupyter_text>Figma>[Figma](https://www.figma.com/) is a collaborative web application for interface design.This notebook covers how to load data from the `Figma` REST API into a format that can be ingested into LangChain, along with example usage for code generation.<jupyter_code>import os
from langcha... | langchain/docs/docs/integrations/document_loaders/figma.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/figma.ipynb",
"repo_id": "langchain",
"token_count": 956
} | 102 |
import { LLM, type BaseLLMParams } from "@langchain/core/language_models/llms";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import { GenerationChunk } from "@langchain/core/outputs";
import { convertEventStreamToItera... | langchainjs/libs/langchain-cloudflare/src/llms.ts/0 | {
"file_path": "langchainjs/libs/langchain-cloudflare/src/llms.ts",
"repo_id": "langchainjs",
"token_count": 2057
} | 988 |
services:
db:
image: pgvector/pgvector:pg16
ports:
- 5433:5432
volumes:
- ./data:/var/lib/postgresql/data
environment:
- POSTGRES_PASSWORD=ChangeMe
- POSTGRES_USER=myuser
- POSTGRES_DB=api
| langchainjs/examples/src/indexes/vector_stores/pgvector_vectorstore/docker-compose.example.yml/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/pgvector_vectorstore/docker-compose.example.yml",
"repo_id": "langchainjs",
"token_count": 116
} | 787 |
// 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/datacoord/garbage_collector_test.go/0 | {
"file_path": "milvus/internal/datacoord/garbage_collector_test.go",
"repo_id": "milvus",
"token_count": 19225
} | 1,792 |
import logging
from typing import Any, Callable, Dict, List, Optional, Sequence
from tenacity import (
before_sleep_log,
retry,
retry_if_exception_type,
stop_after_attempt,
wait_exponential,
)
from llama_index.legacy.core.llms.types import ChatMessage
COMMAND_MODELS = {
"command": 4096,
"... | llama_index/llama-index-legacy/llama_index/legacy/llms/cohere_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/cohere_utils.py",
"repo_id": "llama_index",
"token_count": 1318
} | 1,732 |
import logging
import uuid
from typing import Sequence
from bs4 import BeautifulSoup as Soup
from langchain_core.documents import Document
from langchain_core.runnables import Runnable
from propositional_retrieval.constants import DOCSTORE_ID_KEY
from propositional_retrieval.proposal_chain import proposition_chain
fr... | langchain/templates/propositional-retrieval/propositional_retrieval/ingest.py/0 | {
"file_path": "langchain/templates/propositional-retrieval/propositional_retrieval/ingest.py",
"repo_id": "langchain",
"token_count": 1058
} | 709 |
FROM ubuntu:20.04
LABEL maintainer="Hugging Face"
LABEL repository="diffusers"
ENV DEBIAN_FRONTEND=noninteractive
RUN apt update && \
apt install -y bash \
build-essential \
git \
git-lfs \
curl \
ca-certificates \
... | diffusers/docker/diffusers-flax-cpu/Dockerfile/0 | {
"file_path": "diffusers/docker/diffusers-flax-cpu/Dockerfile",
"repo_id": "diffusers",
"token_count": 666
} | 188 |
# Bedrock
> [Amazon Bedrock](https://aws.amazon.com/bedrock/) is a fully managed service that makes Foundation Models (FMs)
> from leading AI startups and Amazon available via an API. You can choose from a wide range of FMs to find the model that is best suited for your use case.
## Setup
You'll need to install a fe... | langchainjs/docs/core_docs/docs/integrations/llms/bedrock.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/bedrock.mdx",
"repo_id": "langchainjs",
"token_count": 448
} | 731 |
from langchain.schema.runnable.history import __all__
EXPECTED_ALL = [
"RunnableWithMessageHistory",
"GetSessionHistoryCallable",
"MessagesOrDictWithMessages",
]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/schema/runnable/test_history.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/schema/runnable/test_history.py",
"repo_id": "langchain",
"token_count": 98
} | 640 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/vit/convert_vit_timm_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/vit/convert_vit_timm_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4416
} | 746 |
# Key-Value Stores
Key-Value stores are the underlying storage abstractions that power our [Document Stores](./docstores.md) and [Index Stores](./index_stores.md).
We provide the following key-value stores:
- **Simple Key-Value Store**: An in-memory KV store. The user can choose to call `persist` on this kv store to... | llama_index/docs/module_guides/storing/kv_stores.md/0 | {
"file_path": "llama_index/docs/module_guides/storing/kv_stores.md",
"repo_id": "llama_index",
"token_count": 157
} | 1,183 |
# flake8: noqa
from langchain_core.prompts.prompt import PromptTemplate
_PROMPT_TEMPLATE = """
You are an agents controlling a browser. You are given:
(1) an objective that you are trying to achieve
(2) the URL of your current web page
(3) a simplified text description of what's visible in the browser window (more... | langchain/libs/langchain/langchain/chains/natbot/prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/natbot/prompt.py",
"repo_id": "langchain",
"token_count": 1532
} | 507 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-gradio-agent-chat/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gradio-agent-chat/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,705 |
from llama_index.packs.timescale_vector_autoretrieval.base import (
TimescaleVectorAutoretrievalPack,
)
__all__ = ["TimescaleVectorAutoretrievalPack"]
| llama_index/llama-index-packs/llama-index-packs-timescale-vector-autoretrieval/llama_index/packs/timescale_vector_autoretrieval/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-timescale-vector-autoretrieval/llama_index/packs/timescale_vector_autoretrieval/__init__.py",
"repo_id": "llama_index",
"token_count": 53
} | 1,702 |
// Adapted from turboderp exllama: https://github.com/turboderp/exllama
#ifndef _column_remap_cuh
#define _column_remap_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
void column_remap_cuda
(
const half* x,
half* x_new,
const int x_height,
const int x_width,
const uint32_... | text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_func/column_remap.cuh/0 | {
"file_path": "text-generation-inference/server/exllama_kernels/exllama_kernels/cuda_func/column_remap.cuh",
"repo_id": "text-generation-inference",
"token_count": 152
} | 376 |
// 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/config/etcd_source.go/0 | {
"file_path": "milvus/pkg/config/etcd_source.go",
"repo_id": "milvus",
"token_count": 1818
} | 1,949 |
"""Init File."""
| llama_index/llama-index-legacy/llama_index/legacy/readers/steamship/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/steamship/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,707 |
import { HumanMessage } from "../../messages/index.js";
import { applyPatch } from "../../utils/json_patch.js";
import { RemoteRunnable } from "../remote.js";
test("streamLog hosted langserve", async () => {
const remote = new RemoteRunnable({
url: `https://chat-langchain-backend.langchain.dev/chat`,
});
con... | langchainjs/langchain-core/src/runnables/tests/runnable_remote.int.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/tests/runnable_remote.int.test.ts",
"repo_id": "langchainjs",
"token_count": 683
} | 881 |
import { DriaRetriever } from "@langchain/community/retrievers/dria";
// contract of TypeScript Handbook v4.9 uploaded to Dria
// https://dria.co/knowledge/-B64DjhUtCwBdXSpsRytlRQCu-bie-vSTvTIT8Ap3g0
const contractId = "-B64DjhUtCwBdXSpsRytlRQCu-bie-vSTvTIT8Ap3g0";
const retriever = new DriaRetriever({
contractId, ... | langchainjs/examples/src/retrievers/dria.ts/0 | {
"file_path": "langchainjs/examples/src/retrievers/dria.ts",
"repo_id": "langchainjs",
"token_count": 217
} | 839 |
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.postprocessor.rankgpt_rerank import RankGPTRerank
def test_class():
names_of_base_classes = [b.__name__ for b in RankGPTRerank.__mro__]
assert BaseNodePostprocessor.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/tests/test_postprocessor_rankgpt_rerank.py/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-rankgpt-rerank/tests/test_postprocessor_rankgpt_rerank.py",
"repo_id": "llama_index",
"token_count": 100
} | 1,439 |
python_tests()
| llama_index/llama-index-integrations/agent/llama-index-agent-openai/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/agent/llama-index-agent-openai/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,179 |
use crate::tokenizer::{Encoding, PostProcessor, Result};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::iter::FromIterator;
#[derive(Serialize, Deserialize, Clone, Debug, PartialEq, Eq)]
#[serde(tag = "type")]
pub struct BertProcessing {
sep: (String, u32),
cls: (String, u32),
}
... | tokenizers/tokenizers/src/processors/bert.rs/0 | {
"file_path": "tokenizers/tokenizers/src/processors/bert.rs",
"repo_id": "tokenizers",
"token_count": 7375
} | 480 |
<jupyter_start><jupyter_text>Building RAG from Scratch (Open-source only!) In this tutorial, we show you how to build a data ingestion pipeline into a vector database, and then build a retrieval pipeline from that vector database, from scratch.Notably, we use a fully open-source stack:- Sentence Transformers as the emb... | llama_index/docs/examples/low_level/oss_ingestion_retrieval.ipynb/0 | {
"file_path": "llama_index/docs/examples/low_level/oss_ingestion_retrieval.ipynb",
"repo_id": "llama_index",
"token_count": 3494
} | 1,092 |
from typing import Any, Dict
import requests
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import Response
from llama_index.core.schema import QueryBundle
class CogniswitchQueryEngine(BaseQueryEngine):
def __init__(self, cs_token: str, OAI_token: s... | llama_index/llama-index-core/llama_index/core/query_engine/cogniswitch_query_engine.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_engine/cogniswitch_query_engine.py",
"repo_id": "llama_index",
"token_count": 921
} | 1,194 |
from typing import Iterator, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.utilities.brave_search import BraveSearchWrapper
class BraveSearchLoader(BaseLoader):
"""Load with `Brave Search` engine."""
de... | langchain/libs/community/langchain_community/document_loaders/brave_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/brave_search.py",
"repo_id": "langchain",
"token_count": 422
} | 233 |
// Auto-generated by `scripts/create-entrypoints.js`. Do not edit manually.
export const optionalImportEntrypoints: string[] = [
"langchain_community/tools/aws_lambda",
"langchain_community/tools/aws_sfn",
"langchain_community/tools/discord",
"langchain_community/tools/gmail",
"langchain_community/tools/goog... | langchainjs/libs/langchain-community/src/load/import_constants.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/load/import_constants.ts",
"repo_id": "langchainjs",
"token_count": 1771
} | 949 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-bing-search/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-bing-search/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,472 |
package indexstat
import (
"context"
"testing"
"github.com/golang/protobuf/proto"
"github.com/stretchr/testify/suite"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github... | milvus/tests/integration/indexstat/get_index_statistics_test.go/0 | {
"file_path": "milvus/tests/integration/indexstat/get_index_statistics_test.go",
"repo_id": "milvus",
"token_count": 2059
} | 1,878 |
<jupyter_start><jupyter_text>DuckDuckGo SearchThis notebook goes over how to use the duck-duck-go search component.<jupyter_code>%pip install --upgrade --quiet duckduckgo-search
from langchain.tools import DuckDuckGoSearchRun
search = DuckDuckGoSearchRun()
search.run("Obama's first name?")<jupyter_output><empty_output... | langchain/docs/docs/integrations/tools/ddg.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/ddg.ipynb",
"repo_id": "langchain",
"token_count": 395
} | 182 |
python_sources()
| llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/llama_index/postprocessor/sbert_rerank/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-sbert-rerank/llama_index/postprocessor/sbert_rerank/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,319 |
#!/usr/bin/env python
# coding=utf-8
# 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-... | transformers/examples/flax/language-modeling/run_clm_flax.py/0 | {
"file_path": "transformers/examples/flax/language-modeling/run_clm_flax.py",
"repo_id": "transformers",
"token_count": 16049
} | 506 |
# 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/schedulers/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/__init__.py",
"repo_id": "diffusers",
"token_count": 3836
} | 260 |
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