text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from __future__ import annotations
import copy
from typing import TYPE_CHECKING, List
import pytest
from langchain_core.documents import Document
from pytest_mock import MockerFixture
from langchain_community.retrievers import ZepRetriever
if TYPE_CHECKING:
from zep_python import MemorySearchResult, ZepClient
... | langchain/libs/community/tests/integration_tests/retrievers/test_zep.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/retrievers/test_zep.py",
"repo_id": "langchain",
"token_count": 1558
} | 342 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-dashvector/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,515 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.google import (
GmailToolSpec,
GoogleCalendarToolSpec,
GoogleSearchToolSpec,
)
def test_class():
names_of_base_classes = [b.__name__ for b in GoogleCalendarToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_... | llama_index/llama-index-integrations/tools/llama-index-tools-google/tests/test_tools_google.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-google/tests/test_tools_google.py",
"repo_id": "llama_index",
"token_count": 221
} | 1,485 |
python_tests(
name="tests",
)
| llama_index/llama-index-finetuning/tests/callbacks/BUILD/0 | {
"file_path": "llama_index/llama-index-finetuning/tests/callbacks/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,163 |
# candle-transformers
| candle/candle-transformers/README.md/0 | {
"file_path": "candle/candle-transformers/README.md",
"repo_id": "candle",
"token_count": 6
} | 70 |
<jupyter_start><jupyter_text>DeepInfra[DeepInfra](https://deepinfra.com/?utm_source=langchain) is a serverless inference as a service that provides access to a [variety of LLMs](https://deepinfra.com/models?utm_source=langchain) and [embeddings models](https://deepinfra.com/models?type=embeddings&utm_source=langchain).... | langchain/docs/docs/integrations/chat/deepinfra.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/chat/deepinfra.ipynb",
"repo_id": "langchain",
"token_count": 561
} | 100 |
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/extractors/llama-index-extractors-marvin/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/extractors/llama-index-extractors-marvin/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,329 |
// Code generated by protoc-gen-go. DO NOT EDIT.
// source: event_log.proto
package eventlog
import (
context "context"
fmt "fmt"
proto "github.com/golang/protobuf/proto"
grpc "google.golang.org/grpc"
codes "google.golang.org/grpc/codes"
status "google.golang.org/grpc/status"
math "math"
)
// Reference import... | milvus/pkg/eventlog/event_log.pb.go/0 | {
"file_path": "milvus/pkg/eventlog/event_log.pb.go",
"repo_id": "milvus",
"token_count": 4044
} | 1,882 |
<script lang="ts">
import { PUBLIC_APP_NAME, PUBLIC_VERSION } from "$env/static/public";
import { PUBLIC_ANNOUNCEMENT_BANNERS } from "$env/static/public";
import { PUBLIC_APP_DESCRIPTION } from "$env/static/public";
import Logo from "$lib/components/icons/Logo.svelte";
import { createEventDispatcher } from "svelte... | chat-ui/src/lib/components/chat/ChatIntroduction.svelte/0 | {
"file_path": "chat-ui/src/lib/components/chat/ChatIntroduction.svelte",
"repo_id": "chat-ui",
"token_count": 1318
} | 86 |
import { loadEvaluator } from "langchain/evaluation";
const evaluator = await loadEvaluator("criteria", { criteria: "conciseness" });
const res = await evaluator.evaluateStrings({
input: "What's 2+2?",
prediction:
"What's 2+2? That's an elementary question. The answer you're looking for is that two and two is... | langchainjs/examples/src/guides/evaluation/string/criteria_without_reference.ts/0 | {
"file_path": "langchainjs/examples/src/guides/evaluation/string/criteria_without_reference.ts",
"repo_id": "langchainjs",
"token_count": 278
} | 838 |
<jupyter_start><jupyter_text>XMLThe `UnstructuredXMLLoader` is used to load `XML` files. The loader works with `.xml` files. The page content will be the text extracted from the XML tags.<jupyter_code>from langchain_community.document_loaders import UnstructuredXMLLoader
loader = UnstructuredXMLLoader(
"example_dat... | langchain/docs/docs/integrations/document_loaders/xml.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/xml.ipynb",
"repo_id": "langchain",
"token_count": 136
} | 117 |
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/unclip/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/unclip/__init__.py",
"repo_id": "diffusers",
"token_count": 700
} | 254 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.chroma_autoretrieval import ChromaAutoretrievalPack
def test_class():
names_of_base_classes = [b.__name__ for b in ChromaAutoretrievalPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-chroma-autoretrieval/tests/test_packs_chroma_autoretrieval.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-chroma-autoretrieval/tests/test_packs_chroma_autoretrieval.py",
"repo_id": "llama_index",
"token_count": 106
} | 1,559 |
# coding=utf-8
# 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/... | transformers/src/transformers/models/mbart/modeling_tf_mbart.py/0 | {
"file_path": "transformers/src/transformers/models/mbart/modeling_tf_mbart.py",
"repo_id": "transformers",
"token_count": 32356
} | 690 |
"""Simple in memory docstore in the form of a dict."""
from typing import Dict, List, Optional, Union
from langchain_core.documents import Document
from langchain_community.docstore.base import AddableMixin, Docstore
class InMemoryDocstore(Docstore, AddableMixin):
"""Simple in memory docstore in the form of a d... | langchain/libs/community/langchain_community/docstore/in_memory.py/0 | {
"file_path": "langchain/libs/community/langchain_community/docstore/in_memory.py",
"repo_id": "langchain",
"token_count": 656
} | 228 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/swin2sr.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/swin2sr.md",
"repo_id": "transformers",
"token_count": 979
} | 488 |
""" GitHub Tool """
| langchain/libs/community/langchain_community/tools/github/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/github/__init__.py",
"repo_id": "langchain",
"token_count": 5
} | 307 |
from langchain_core.prompts import (
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from .chat import chat
librarian_prompt = ChatPromptTemplate.from_messages(
[
SystemMessagePromptTemplate.from_template(
"""
You are a librarian at cohere... | langchain/templates/cohere-librarian/cohere_librarian/library_info.py/0 | {
"file_path": "langchain/templates/cohere-librarian/cohere_librarian/library_info.py",
"repo_id": "langchain",
"token_count": 301
} | 669 |
from llama_index.readers.nougat_ocr.base import PDFNougatOCR
__all__ = ["PDFNougatOCR"]
| llama_index/llama-index-integrations/readers/llama-index-readers-nougat-ocr/llama_index/readers/nougat_ocr/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-nougat-ocr/llama_index/readers/nougat_ocr/__init__.py",
"repo_id": "llama_index",
"token_count": 38
} | 1,528 |
from langchain_community.embeddings.nlpcloud import NLPCloudEmbeddings
__all__ = ["NLPCloudEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/nlpcloud.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/nlpcloud.py",
"repo_id": "langchain",
"token_count": 35
} | 503 |
import { collections } from "$lib/server/database";
import { ObjectId } from "mongodb";
import { describe, expect, it } from "vitest";
import {
insertLegacyConversation,
insertLinearBranchConversation,
insertSideBranchesConversation,
} from "./treeHelpers.spec";
import { buildSubtree } from "./buildSubtree";
descr... | chat-ui/src/lib/utils/tree/buildSubtree.spec.ts/0 | {
"file_path": "chat-ui/src/lib/utils/tree/buildSubtree.spec.ts",
"repo_id": "chat-ui",
"token_count": 1375
} | 107 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/util/importutil/parquet_parser.go/0 | {
"file_path": "milvus/internal/util/importutil/parquet_parser.go",
"repo_id": "milvus",
"token_count": 8859
} | 1,871 |
# coding=utf-8
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/pop2piano/test_tokenization_pop2piano.py/0 | {
"file_path": "transformers/tests/models/pop2piano/test_tokenization_pop2piano.py",
"repo_id": "transformers",
"token_count": 7905
} | 745 |
from langchain_community.vectorstores.baiducloud_vector_search import BESVectorStore
__all__ = ["BESVectorStore"]
| langchain/libs/langchain/langchain/vectorstores/baiducloud_vector_search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/baiducloud_vector_search.py",
"repo_id": "langchain",
"token_count": 35
} | 612 |
import {
bpeDecoder,
byteFallbackDecoder,
ctcDecoder,
fuseDecoder,
metaspaceDecoder,
replaceDecoder,
sequenceDecoder,
stripDecoder,
wordPieceDecoder,
} from '../../'
describe('wordPieceDecoder', () => {
it('accepts `undefined` as first parameter', () => {
expect(wordPieceDecoder(undefined)).toB... | tokenizers/bindings/node/lib/bindings/decoders.test.ts/0 | {
"file_path": "tokenizers/bindings/node/lib/bindings/decoders.test.ts",
"repo_id": "tokenizers",
"token_count": 1393
} | 426 |
#!/usr/bin/env python
#
# This a `torch.distributed` diagnostics script that checks that all GPUs in the cluster (one or
# many nodes) can talk to each other via nccl and allocate gpu memory.
#
# To run first adjust the number of processes and nodes:
#
# python -m torch.distributed.run --nproc_per_node 2 --nnodes 1 to... | transformers/scripts/distributed/torch-distributed-gpu-test.py/0 | {
"file_path": "transformers/scripts/distributed/torch-distributed-gpu-test.py",
"repo_id": "transformers",
"token_count": 1240
} | 586 |
python_sources()
| llama_index/llama-index-core/llama_index/core/text_splitter/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/text_splitter/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,203 |
import re
from typing import Callable, List
from langchain_community.document_loaders.parsers.language.code_segmenter import (
CodeSegmenter,
)
class CobolSegmenter(CodeSegmenter):
"""Code segmenter for `COBOL`."""
PARAGRAPH_PATTERN = re.compile(r"^[A-Z0-9\-]+(\s+.*)?\.$", re.IGNORECASE)
DIVISION_PA... | langchain/libs/community/langchain_community/document_loaders/parsers/language/cobol.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/parsers/language/cobol.py",
"repo_id": "langchain",
"token_count": 1733
} | 244 |
// 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.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/pool.go",
"repo_id": "milvus",
"token_count": 1624
} | 1,854 |
# LlamaDataset Metadata Pack
As part of the `LlamaDataset` submission package into [llamahub](https://llamahub.ai),
two metadata files are required, namely: `card.json` and `README.md`. This pack
creates these two files and saves them to disk to help expedite the submission
process.
## CLI Usage
You can download lla... | llama_index/llama-index-packs/llama-index-packs-llama-dataset-metadata/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llama-dataset-metadata/README.md",
"repo_id": "llama_index",
"token_count": 693
} | 1,589 |
use std::marker::PhantomData;
use serde::{
self,
de::{Error, MapAccess, Visitor},
ser::SerializeStruct,
Deserialize, Deserializer, Serialize, Serializer,
};
use super::{added_vocabulary::AddedTokenWithId, TokenizerImpl};
use crate::{Decoder, Model, Normalizer, PostProcessor, PreTokenizer, TokenizerBui... | tokenizers/tokenizers/src/tokenizer/serialization.rs/0 | {
"file_path": "tokenizers/tokenizers/src/tokenizer/serialization.rs",
"repo_id": "tokenizers",
"token_count": 3618
} | 463 |
from langchain_community.utilities.portkey import Portkey
__all__ = ["Portkey"]
| langchain/libs/langchain/langchain/utilities/portkey.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/portkey.py",
"repo_id": "langchain",
"token_count": 25
} | 619 |
<jupyter_start><jupyter_text>Wikipedia>[Wikipedia](https://wikipedia.org/) is a multilingual free online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and using a wiki-based editing system called MediaWiki. `Wikipedia` is the largest and most-read ref... | langchain/docs/docs/integrations/document_loaders/wikipedia.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/wikipedia.ipynb",
"repo_id": "langchain",
"token_count": 391
} | 121 |
import responses
from langchain_community.retrievers.you import YouRetriever
from ..utilities.test_you import (
LIMITED_PARSED_OUTPUT,
MOCK_PARSED_OUTPUT,
MOCK_RESPONSE_RAW,
NEWS_RESPONSE_PARSED,
NEWS_RESPONSE_RAW,
TEST_ENDPOINT,
)
class TestYouRetriever:
@responses.activate
def test... | langchain/libs/community/tests/unit_tests/retrievers/test_you.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/retrievers/test_you.py",
"repo_id": "langchain",
"token_count": 1122
} | 389 |
import os
def get_directory_size(directory: str) -> int:
"""
Calculate the total size of the directory by walking through each file.
Parameters:
directory (str): The path of the directory for which to calculate the size.
Returns:
total_size (int): The total size of the directory in bytes.
... | chroma/chromadb/utils/directory.py/0 | {
"file_path": "chroma/chromadb/utils/directory.py",
"repo_id": "chroma",
"token_count": 246
} | 30 |
# 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/src/transformers/models/mobilevit/image_processing_mobilevit.py/0 | {
"file_path": "transformers/src/transformers/models/mobilevit/image_processing_mobilevit.py",
"repo_id": "transformers",
"token_count": 9348
} | 667 |
kind: Schedule
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-datanode-pod-kill
namespace: chaos-testing
spec:
schedule: '*/5 * * * * *'
startingDeadlineSeconds: 60
concurrencyPolicy: Forbid
historyLimit: 1
type: PodChaos
podChaos:
selector:
namespaces:
- chaos-testing
... | milvus/tests/python_client/chaos/chaos_objects/pod_kill/chaos_datanode_pod_kill.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_kill/chaos_datanode_pod_kill.yaml",
"repo_id": "milvus",
"token_count": 224
} | 2,170 |
export * from "@langchain/core/callbacks/promises";
| langchainjs/langchain/src/callbacks/promises.ts/0 | {
"file_path": "langchainjs/langchain/src/callbacks/promises.ts",
"repo_id": "langchainjs",
"token_count": 16
} | 849 |
# Instagram ResNeXt WSL
A **ResNeXt** repeats a [building block](https://paperswithcode.com/method/resnext-block) that aggregates a set of transformations with the same topology. Compared to a [ResNet](https://paperswithcode.com/method/resnet), it exposes a new dimension, *cardinality* (the size of the set of transfo... | pytorch-image-models/hfdocs/source/models/ig-resnext.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/ig-resnext.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3231
} | 378 |
# 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/pipelines/stable_diffusion/pipeline_flax_stable_diffusion_img2img.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion_img2img.py",
"repo_id": "diffusers",
"token_count": 9901
} | 242 |
from __future__ import annotations
import os
import time
import uuid
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Tuple, Type
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
... | langchain/libs/community/langchain_community/vectorstores/vearch.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/vearch.py",
"repo_id": "langchain",
"token_count": 10805
} | 334 |
<jupyter_start><jupyter_text>BrowserlessBrowserless is a service that allows you to run headless Chrome instances in the cloud. It's a great way to run browser-based automation at scale without having to worry about managing your own infrastructure.To use Browserless as a document loader, initialize a `BrowserlessLoade... | langchain/docs/docs/integrations/document_loaders/browserless.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/browserless.ipynb",
"repo_id": "langchain",
"token_count": 473
} | 98 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/main_classes/image_processor.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/image_processor.md",
"repo_id": "transformers",
"token_count": 343
} | 453 |
from langchain_community.agent_toolkits.openapi.planner import (
MAX_RESPONSE_LENGTH,
RequestsDeleteToolWithParsing,
RequestsGetToolWithParsing,
RequestsPatchToolWithParsing,
RequestsPostToolWithParsing,
RequestsPutToolWithParsing,
create_openapi_agent,
)
__all__ = [
"MAX_RESPONSE_LENGT... | langchain/libs/langchain/langchain/agents/agent_toolkits/openapi/planner.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/openapi/planner.py",
"repo_id": "langchain",
"token_count": 218
} | 436 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package datanode
import (
datapb "github.com/milvus-io/milvus/internal/proto/datapb"
mock "github.com/stretchr/testify/mock"
schemapb "github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
)
// MockFlowgraphManager is an autogenerated mock type for the Flowgraph... | milvus/internal/datanode/mock_fgmanager.go/0 | {
"file_path": "milvus/internal/datanode/mock_fgmanager.go",
"repo_id": "milvus",
"token_count": 4924
} | 1,706 |
"""Test EdenAi's identity parser Tool .
In order to run this test, you need to have an EdenAI api key.
You can get it by registering for free at https://app.edenai.run/user/register.
A test key can be found at https://app.edenai.run/admin/account/settings by
clicking on the 'sandbox' toggle.
(calls will be free, and w... | langchain/libs/community/tests/integration_tests/tools/edenai/test_ocr_identityparser.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/tools/edenai/test_ocr_identityparser.py",
"repo_id": "langchain",
"token_count": 320
} | 346 |
[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 = ["IonicShoppingToolSpec"]
contains_example = false
import_path = "llama_index.tools.ionic_s... | llama_index/llama-index-integrations/tools/llama-index-tools-ionic-shopping/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-ionic-shopping/pyproject.toml",
"repo_id": "llama_index",
"token_count": 666
} | 1,441 |
from __future__ import annotations
import asyncio
from typing import Any, Callable, Optional, Sequence
from langchain_core.runnables import (
Runnable,
RunnableConfig,
RunnablePassthrough,
)
from langchain_core.runnables.utils import ConfigurableFieldSpec
from langgraph.constants import CONFIG_KEY_SEND
... | langgraph/langgraph/pregel/write.py/0 | {
"file_path": "langgraph/langgraph/pregel/write.py",
"repo_id": "langgraph",
"token_count": 1190
} | 1,039 |
# import logging
# from apscheduler.schedulers.background import BackgroundScheduler
# from apscheduler.schedulers.blocking import BlockingScheduler
# from apscheduler.jobstores.mongodb import MongoDBJobStore
# from apscheduler.executors.pool import ProcessPoolExecutor, ThreadPoolExecutor
# from apscheduler.executors.... | milvus/tests/benchmark/milvus_benchmark/scheduler.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler.py",
"repo_id": "milvus",
"token_count": 307
} | 1,866 |
"""Test Lantern functionality."""
import os
from typing import List, Tuple
from langchain_core.documents import Document
from langchain_community.embeddings import FakeEmbeddings
from langchain_community.vectorstores import Lantern
CONNECTION_STRING = Lantern.connection_string_from_db_params(
driver=os.environ.g... | langchain/libs/community/tests/integration_tests/vectorstores/test_lantern.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_lantern.py",
"repo_id": "langchain",
"token_count": 4780
} | 378 |
# Test file to ensure that in general certain situational setups for notebooks work.
import os
from pytest import raises
from accelerate import PartialState, notebook_launcher
from accelerate.test_utils import require_bnb
from accelerate.utils import is_bnb_available
def basic_function():
# Just prints the Part... | accelerate/src/accelerate/test_utils/scripts/test_notebook.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/scripts/test_notebook.py",
"repo_id": "accelerate",
"token_count": 342
} | 11 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/gpt_neox.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/gpt_neox.md",
"repo_id": "transformers",
"token_count": 1662
} | 491 |
from typing import Optional, Tuple, List
import torch
def onnx_forward(onnx_file, example_input):
import onnxruntime
sess_options = onnxruntime.SessionOptions()
session = onnxruntime.InferenceSession(onnx_file, sess_options)
input_name = session.get_inputs()[0].name
output = session.run([], {inp... | pytorch-image-models/timm/utils/onnx.py/0 | {
"file_path": "pytorch-image-models/timm/utils/onnx.py",
"repo_id": "pytorch-image-models",
"token_count": 1392
} | 385 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/token_counter/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/token_counter/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,718 |
/* eslint-disable no-promise-executor-return */
/* eslint-disable @typescript-eslint/no-explicit-any */
import { Run } from "langsmith";
import { jest } from "@jest/globals";
import { createChatMessageChunkEncoderStream } from "../../language_models/chat_models.js";
import { BaseMessage } from "../../messages/index.js... | langchainjs/langchain-core/src/runnables/tests/runnable.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/tests/runnable.test.ts",
"repo_id": "langchainjs",
"token_count": 4575
} | 868 |
"""Test Cassandra caches. Requires a running vector-capable Cassandra cluster."""
import os
import time
from typing import Any, Iterator, Tuple
import pytest
from langchain_core.outputs import Generation, LLMResult
from langchain.cache import CassandraCache, CassandraSemanticCache
from langchain.globals import get_l... | langchain/libs/langchain/tests/integration_tests/cache/test_cassandra.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/cache/test_cassandra.py",
"repo_id": "langchain",
"token_count": 1371
} | 610 |
import { Document } from "@langchain/core/documents";
/**
* Given a list of documents, this util formats their contents
* into a string, separated by newlines.
*
* @param documents
* @returns A string of the documents page content, separated by newlines.
*/
export const formatDocumentsAsString = (documents: Docu... | langchainjs/langchain/src/util/document.ts/0 | {
"file_path": "langchainjs/langchain/src/util/document.ts",
"repo_id": "langchainjs",
"token_count": 107
} | 999 |
"""Init file."""
from llama_index.readers.gpt_repo.base import (
GPTRepoReader,
get_ignore_list,
process_repository,
should_ignore,
)
__all__ = [
"GPTRepoReader",
"get_ignore_list",
"process_repository",
"should_ignore",
]
| llama_index/llama-index-integrations/readers/llama-index-readers-gpt-repo/llama_index/readers/gpt_repo/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-gpt-repo/llama_index/readers/gpt_repo/__init__.py",
"repo_id": "llama_index",
"token_count": 116
} | 1,409 |
import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai";
// Or, if using the web entrypoint:
// import { ChatGoogleVertexAI } from "@langchain/community/chat_models/googlevertexai/web";
const model = new ChatGoogleVertexAI({
temperature: 0.7,
});
| langchainjs/examples/src/models/chat/integration_googlevertexai.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_googlevertexai.ts",
"repo_id": "langchainjs",
"token_count": 86
} | 846 |
from typing import Any, Dict, List
from langchain.chains.graph_qa.cypher_utils import CypherQueryCorrector, Schema
from langchain.memory import ChatMessageHistory
from langchain_community.chat_models import ChatOpenAI
from langchain_community.graphs import Neo4jGraph
from langchain_core.output_parsers import StrOutput... | langchain/templates/neo4j-cypher-memory/neo4j_cypher_memory/chain.py/0 | {
"file_path": "langchain/templates/neo4j-cypher-memory/neo4j_cypher_memory/chain.py",
"repo_id": "langchain",
"token_count": 1906
} | 710 |
package utils
import (
"testing"
"google.golang.org/grpc"
"github.com/milvus-io/milvus/pkg/util/paramtable"
)
func TestGracefulStopGrpcServer(t *testing.T) {
paramtable.Init()
// expected close by gracefulStop
s1 := grpc.NewServer()
GracefulStopGRPCServer(s1)
// expected not panic
GracefulStopGRPCServer(... | milvus/internal/distributed/utils/util_test.go/0 | {
"file_path": "milvus/internal/distributed/utils/util_test.go",
"repo_id": "milvus",
"token_count": 131
} | 1,712 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-tables/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-tables/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,736 |
import { test, expect } from "@jest/globals";
import * as url from "node:url";
import * as path from "node:path";
import { PDFLoader } from "../fs/pdf.js";
test("Test PDF loader from file", async () => {
const filePath = path.resolve(
path.dirname(url.fileURLToPath(import.meta.url)),
"./example_data/1706.037... | langchainjs/langchain/src/document_loaders/tests/pdf.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/pdf.test.ts",
"repo_id": "langchainjs",
"token_count": 473
} | 908 |
# coding=utf-8
# Copyright 2022 SHI Labs 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/oneformer/configuration_oneformer.py/0 | {
"file_path": "transformers/src/transformers/models/oneformer/configuration_oneformer.py",
"repo_id": "transformers",
"token_count": 5485
} | 648 |
from llama_index.llms.xinference.base import Xinference
__all__ = ["Xinference"]
| llama_index/llama-index-integrations/llms/llama-index-llms-xinference/llama_index/llms/xinference/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-xinference/llama_index/llms/xinference/__init__.py",
"repo_id": "llama_index",
"token_count": 29
} | 1,244 |
import numpy as np
from transformers import Pipeline
def softmax(outputs):
maxes = np.max(outputs, axis=-1, keepdims=True)
shifted_exp = np.exp(outputs - maxes)
return shifted_exp / shifted_exp.sum(axis=-1, keepdims=True)
class PairClassificationPipeline(Pipeline):
def _sanitize_parameters(self, **... | transformers/utils/test_module/custom_pipeline.py/0 | {
"file_path": "transformers/utils/test_module/custom_pipeline.py",
"repo_id": "transformers",
"token_count": 453
} | 813 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-intercom/llama_index/readers/intercom/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-intercom/llama_index/readers/intercom/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,384 |
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { Pinecone } from "@pinecone-database/pinecone";
import { OpenAIEmbeddings } from "@langchain/openai";
import { PineconeStore } from "@langchain/pinecone";
// Instantiate a new Pinecone client, which will automatically read the
// env vars: PINECONE_... | langchainjs/examples/src/indexes/vector_stores/pinecone/query_docs.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/pinecone/query_docs.ts",
"repo_id": "langchainjs",
"token_count": 299
} | 807 |
export function str(o: unknown): React.ReactNode {
return typeof o === "object"
? JSON.stringify(o, null, 2)
: (o as React.ReactNode);
}
| langserve/langserve/playground/src/utils/str.ts/0 | {
"file_path": "langserve/langserve/playground/src/utils/str.ts",
"repo_id": "langserve",
"token_count": 57
} | 1,089 |
package configs
import (
"fmt"
"strconv"
"github.com/milvus-io/milvus/cmd/tools/migration/console"
"github.com/milvus-io/milvus/pkg/util"
"github.com/milvus-io/milvus/pkg/util/paramtable"
)
const (
RunCmd = "run"
BackupCmd = "backup"
RollbackCmd = "rollback"
)
type RunConfig struct {
base ... | milvus/cmd/tools/migration/configs/config.go/0 | {
"file_path": "milvus/cmd/tools/migration/configs/config.go",
"repo_id": "milvus",
"token_count": 1224
} | 1,631 |
"""Init params."""
from llama_index.legacy.logger.base import LlamaLogger
__all__ = ["LlamaLogger"]
| llama_index/llama-index-legacy/llama_index/legacy/logger/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/logger/__init__.py",
"repo_id": "llama_index",
"token_count": 39
} | 1,576 |
"use client";
import { v4 as uuidv4 } from "uuid";
import { ChatWindow } from "../app/components/ChatWindow";
import { ToastContainer } from "react-toastify";
import { ChakraProvider } from "@chakra-ui/react";
export default function Home() {
return (
<ChakraProvider>
<ToastContainer />
<ChatWindow... | chat-langchain/chat-langchain/app/page.tsx/0 | {
"file_path": "chat-langchain/chat-langchain/app/page.tsx",
"repo_id": "chat-langchain",
"token_count": 138
} | 7 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/notion/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/notion/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,608 |
from langchain.schema.agent import __all__
EXPECTED_ALL = ["AgentAction", "AgentActionMessageLog", "AgentFinish"]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/schema/test_agent.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/schema/test_agent.py",
"repo_id": "langchain",
"token_count": 68
} | 671 |
# The Reinforcement Learning Framework [[the-reinforcement-learning-framework]]
## The RL Process [[the-rl-process]]
<figure>
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit1/RL_process.jpg" alt="The RL process" width="100%">
<figcaption>The RL Process: a loop o... | deep-rl-class/units/en/unit1/rl-framework.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit1/rl-framework.mdx",
"repo_id": "deep-rl-class",
"token_count": 2504
} | 158 |
python_tests(
interpreter_constraints=["==3.10.*"],
)
| llama_index/llama-index-integrations/readers/llama-index-readers-pathway/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pathway/tests/BUILD",
"repo_id": "llama_index",
"token_count": 22
} | 1,537 |
.. _Ref-Node:
Callbacks
=================
.. automodule:: llama_index.core.callbacks
:members:
:inherited-members:
| llama_index/docs/api_reference/callbacks.rst/0 | {
"file_path": "llama_index/docs/api_reference/callbacks.rst",
"repo_id": "llama_index",
"token_count": 46
} | 1,029 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.self_rag import SelfRAGPack
def test_class():
names_of_base_classes = [b.__name__ for b in SelfRAGPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-self-rag/tests/test_packs_self_rag.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-self-rag/tests/test_packs_self_rag.py",
"repo_id": "llama_index",
"token_count": 94
} | 1,870 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" href="/____LANGSERVE_BASE_URL/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Playground</title>
<script type="module" crossorigin src="/____LANGSERVE_BASE_URL/assets/i... | langserve/langserve/playground/dist/index.html/0 | {
"file_path": "langserve/langserve/playground/dist/index.html",
"repo_id": "langserve",
"token_count": 363
} | 1,044 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chatgpt-plugin/llama_index/vector_stores/chatgpt_plugin/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-chatgpt-plugin/llama_index/vector_stores/chatgpt_plugin/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,597 |
package httpserver
import (
"context"
"encoding/json"
"io"
"net/http"
"strconv"
"time"
"github.com/gin-gonic/gin"
"github.com/gin-gonic/gin/binding"
"github.com/go-playground/validator/v10"
"github.com/golang/protobuf/proto"
"github.com/tidwall/gjson"
"go.uber.org/zap"
"google.golang.org/grpc"
"github.... | milvus/internal/distributed/proxy/httpserver/handler_v2.go/0 | {
"file_path": "milvus/internal/distributed/proxy/httpserver/handler_v2.go",
"repo_id": "milvus",
"token_count": 26801
} | 1,788 |
.. _Ref-Retrievers:
Retrievers
=================
Index Retrievers
^^^^^^^^^^^^^^^^
Below we show index-specific retriever classes.
.. toctree::
:maxdepth: 1
:caption: Index Retrievers
retrievers/empty.rst
retrievers/kg.rst
retrievers/list.rst
retrievers/table.rst
retrievers/tree.rst
retrieve... | llama_index/docs/api_reference/query/retrievers.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/retrievers.rst",
"repo_id": "llama_index",
"token_count": 379
} | 1,095 |
"""Test ClickHouse functionality."""
from langchain_core.documents import Document
from langchain_community.vectorstores import Clickhouse, ClickhouseSettings
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
def test_clickhouse() -> None:
"""Test end to end construction and search.... | langchain/libs/community/tests/integration_tests/vectorstores/test_clickhouse.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_clickhouse.py",
"repo_id": "langchain",
"token_count": 1486
} | 391 |
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team, Microsoft Corporation.
#
# 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... | transformers/tests/models/mpnet/test_modeling_tf_mpnet.py/0 | {
"file_path": "transformers/tests/models/mpnet/test_modeling_tf_mpnet.py",
"repo_id": "transformers",
"token_count": 4844
} | 776 |
"""Simple reader that reads tweets of a twitter handle."""
from typing import Any, List, Optional
from llama_index.legacy.readers.base import BasePydanticReader
from llama_index.legacy.schema import Document
class TwitterTweetReader(BasePydanticReader):
"""Twitter tweets reader.
Read tweets of user twitter... | llama_index/llama-index-legacy/llama_index/legacy/readers/twitter.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/twitter.py",
"repo_id": "llama_index",
"token_count": 991
} | 1,597 |
<!--Copyright 2021 NVIDIA Corporation and 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 a... | transformers/docs/source/en/model_doc/megatron-bert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/megatron-bert.md",
"repo_id": "transformers",
"token_count": 1735
} | 510 |
# 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/src/transformers/models/convnext/image_processing_convnext.py/0 | {
"file_path": "transformers/src/transformers/models/convnext/image_processing_convnext.py",
"repo_id": "transformers",
"token_count": 6829
} | 638 |
// 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/timetick_sender.go/0 | {
"file_path": "milvus/internal/datanode/timetick_sender.go",
"repo_id": "milvus",
"token_count": 2270
} | 1,846 |
# langchain-google-vertexai
This package contains the LangChain integrations for Google Cloud generative models.
## Installation
```bash
pip install -U langchain-google-vertexai
```
## Chat Models
`ChatVertexAI` class exposes models such as `gemini-pro` and `chat-bison`.
To use, you should have Google Cloud proje... | langchain/libs/partners/google-vertexai/README.md/0 | {
"file_path": "langchain/libs/partners/google-vertexai/README.md",
"repo_id": "langchain",
"token_count": 853
} | 628 |
from typing import Callable, Iterator
from unittest import mock
import pytest
from llama_index.legacy.llm_predictor.vellum import VellumPredictor
from llama_index.legacy.prompts import BasePromptTemplate
def test_predict__basic(
mock_vellum_client_factory: Callable[..., mock.MagicMock],
vellum_predictor_fact... | llama_index/llama-index-legacy/tests/llm_predictor/vellum/test_predictor.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/llm_predictor/vellum/test_predictor.py",
"repo_id": "llama_index",
"token_count": 1148
} | 1,535 |
# Security Policy
## Reporting a Vulnerability
🤗 We have our bug bounty program set up with HackerOne. Please feel free to submit vulnerability reports to our private program at https://hackerone.com/hugging_face.
Note that you'll need to be invited to our program, so send us a quick email at security@huggingface.co... | transformers/SECURITY.md/0 | {
"file_path": "transformers/SECURITY.md",
"repo_id": "transformers",
"token_count": 89
} | 427 |
import json
import logging
from typing import List
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import (
BaseMessage,
message_to_dict,
messages_from_dict,
)
logger = logging.getLogger(__name__)
DEFAULT_DBNAME = "chat_history"
DEFAULT_COLLECTION_NAME = "messa... | langchain/libs/community/langchain_community/chat_message_histories/mongodb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/mongodb.py",
"repo_id": "langchain",
"token_count": 1124
} | 232 |
<jupyter_start><jupyter_text>Improve document indexing with HyDEThis notebook goes over how to use Hypothetical Document Embeddings (HyDE), as described in [this paper](https://arxiv.org/abs/2212.10496). At a high level, HyDE is an embedding technique that takes queries, generates a hypothetical answer, and then embeds... | langchain/cookbook/hypothetical_document_embeddings.ipynb/0 | {
"file_path": "langchain/cookbook/hypothetical_document_embeddings.ipynb",
"repo_id": "langchain",
"token_count": 1180
} | 77 |
# Additional Readings [[additional-readings]]
These are **optional readings** if you want to go deeper.
- [Foundations of Deep RL Series, L2 Deep Q-Learning by Pieter Abbeel](https://youtu.be/Psrhxy88zww)
- [Playing Atari with Deep Reinforcement Learning](https://arxiv.org/abs/1312.5602)
- [Double Deep Q-Learning](ht... | deep-rl-class/units/en/unit3/additional-readings.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit3/additional-readings.mdx",
"repo_id": "deep-rl-class",
"token_count": 163
} | 153 |
import logging
from argparse import ArgumentParser, Namespace
from .cli_add import register_add_cli
from .cli_init import register_init_cli
from .cli_query import register_query_cli
logger = logging.getLogger(__name__)
def main() -> None:
parser = ArgumentParser(description=None)
parser.add_argument(
... | llama_index/experimental/cli/__main__.py/0 | {
"file_path": "llama_index/experimental/cli/__main__.py",
"repo_id": "llama_index",
"token_count": 461
} | 1,190 |
# coding=utf-8
# Copyright 2022 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/... | text-generation-inference/server/text_generation_server/models/custom_modeling/opt_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/opt_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 15477
} | 397 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-voyageai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-voyageai/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,199 |
"""Utils for manipulating images."""
import base64
from io import BytesIO
from typing import cast
from PIL import Image
def img_2_b64(image: Image, format: str = "JPEG") -> str:
"""Convert a PIL.Image to a base64 encoded image str."""
buff = BytesIO()
image.save(buff, format=format)
return cast(str, ... | llama_index/llama-index-legacy/llama_index/legacy/img_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/img_utils.py",
"repo_id": "llama_index",
"token_count": 193
} | 1,657 |
# The Problem of Variance in Reinforce [[the-problem-of-variance-in-reinforce]]
In Reinforce, we want to **increase the probability of actions in a trajectory proportionally to how high the return is**.
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit8/pg.jpg" ... | deep-rl-class/units/en/unit6/variance-problem.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit6/variance-problem.mdx",
"repo_id": "deep-rl-class",
"token_count": 677
} | 182 |
# Baichuan
>[Baichuan Inc.](https://www.baichuan-ai.com/) is a Chinese startup in the era of AGI, dedicated to addressing fundamental human needs: Efficiency, Health, and Happiness.
## Visit Us
Visit us at https://www.baichuan-ai.com/.
Register and get an API key if you are trying out our APIs.
## Baichuan LLM Endpo... | langchain/docs/docs/integrations/providers/baichuan.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/baichuan.mdx",
"repo_id": "langchain",
"token_count": 183
} | 134 |
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