text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/activations_tf.py/0 | {
"file_path": "transformers/src/transformers/activations_tf.py",
"repo_id": "transformers",
"token_count": 1836
} | 627 |
import { OpenAIEmbeddings } from "@langchain/openai";
export const run = async () => {
const model = new OpenAIEmbeddings({
maxConcurrency: 1,
});
const res = await model.embedQuery(
"What would be a good company name a company that makes colorful socks?"
);
console.log({ res });
};
| langchainjs/examples/src/embeddings/max_concurrency.ts/0 | {
"file_path": "langchainjs/examples/src/embeddings/max_concurrency.ts",
"repo_id": "langchainjs",
"token_count": 97
} | 800 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/utils/other.py/0 | {
"file_path": "accelerate/src/accelerate/utils/other.py",
"repo_id": "accelerate",
"token_count": 4199
} | 17 |
from __future__ import annotations
import logging
from typing import Any, Dict, List, Optional
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
logger = logging.getLogg... | langchain/libs/community/langchain_community/embeddings/baidu_qianfan_endpoint.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/baidu_qianfan_endpoint.py",
"repo_id": "langchain",
"token_count": 2363
} | 254 |
# 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/examples/community/stable_diffusion_ipex.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_ipex.py",
"repo_id": "diffusers",
"token_count": 18596
} | 210 |
from llama_index.llms.together.base import TogetherLLM
__all__ = ["TogetherLLM"]
| llama_index/llama-index-integrations/llms/llama-index-llms-together/llama_index/llms/together/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-together/llama_index/llms/together/__init__.py",
"repo_id": "llama_index",
"token_count": 28
} | 1,317 |
import { BaseOutputParser } from "@langchain/core/output_parsers";
import { AutoGPTAction } from "./schema.js";
/**
* Utility function used to preprocess a string to be parsed as JSON.
* It replaces single backslashes with double backslashes, while leaving
* already escaped ones intact.
* It also extracts the json... | langchainjs/langchain/src/experimental/autogpt/output_parser.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/autogpt/output_parser.ts",
"repo_id": "langchainjs",
"token_count": 926
} | 984 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-vertex/llama_index/llms/vertex/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-vertex/llama_index/llms/vertex/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,248 |
readme_str = """# LlamaIndex {TYPE} Integration: {NAME}
"""
| llama_index/llama-index-cli/llama_index/cli/new_package/templates/readme.py/0 | {
"file_path": "llama_index/llama-index-cli/llama_index/cli/new_package/templates/readme.py",
"repo_id": "llama_index",
"token_count": 21
} | 1,194 |
"""Integration tests for the StreamlitCallbackHandler module."""
import pytest
# Import the internal StreamlitCallbackHandler from its module - and not from
# the `langchain_community.callbacks.streamlit` package - so that we don't end up using
# Streamlit's externally-provided callback handler.
from langchain_commun... | langchain/libs/community/tests/integration_tests/callbacks/test_streamlit_callback.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/callbacks/test_streamlit_callback.py",
"repo_id": "langchain",
"token_count": 349
} | 347 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-milvus/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-milvus/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,341 |
"""AINetwork toolkit."""
| langchain/libs/langchain/langchain/agents/agent_toolkits/ainetwork/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/ainetwork/__init__.py",
"repo_id": "langchain",
"token_count": 9
} | 456 |
from llama_index.packs.redis_ingestion_pipeline.base import RedisIngestionPipelinePack
__all__ = ["RedisIngestionPipelinePack"]
| llama_index/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/llama_index/packs/redis_ingestion_pipeline/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-redis-ingestion-pipeline/llama_index/packs/redis_ingestion_pipeline/__init__.py",
"repo_id": "llama_index",
"token_count": 48
} | 1,602 |
# coding=utf-8
# Copyright 2022 WenXiang ZhongzhiCheng LedellWu LiuGuang BoWenZhang 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
#
# ... | transformers/src/transformers/models/altclip/configuration_altclip.py/0 | {
"file_path": "transformers/src/transformers/models/altclip/configuration_altclip.py",
"repo_id": "transformers",
"token_count": 7757
} | 631 |
---
hide_table_of_contents: true
---
# Knowledge Bases for Amazon Bedrock
Knowledge Bases for Amazon Bedrock is a fully managed support for end-to-end RAG workflow provided by Amazon Web Services (AWS). It provides an entire ingestion workflow of converting your documents into embeddings (vector) and storing the embe... | langchainjs/docs/core_docs/docs/integrations/retrievers/bedrock-knowledge-bases.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/retrievers/bedrock-knowledge-bases.mdx",
"repo_id": "langchainjs",
"token_count": 267
} | 733 |
accuracy:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_7/sift_1b_2048_128_l2_sq8h_wal
cache_config.cpu_cache_capacity: 150
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
gpu_... | milvus/tests/benchmark/milvus_benchmark/suites/gpu_accuracy_debug.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/gpu_accuracy_debug.yaml",
"repo_id": "milvus",
"token_count": 702
} | 1,975 |
from typing import Any, Callable, Dict, List, Optional, Union
import PIL.Image
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
StableDiffusionImg... | diffusers/examples/community/stable_diffusion_mega.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_mega.py",
"repo_id": "diffusers",
"token_count": 4380
} | 203 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/indices/struct_store/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/struct_store/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,569 |
from typing import Any, Dict, List, Optional
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
NOTION_BASE_URL = "https://api.notion.com/v1"
DATABASE_URL = NOTION_BASE_URL + "/databases/{database_id}/query"
PAGE_URL = NOTION_BASE_URL + "/pa... | langchain/libs/community/langchain_community/document_loaders/notiondb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/notiondb.py",
"repo_id": "langchain",
"token_count": 3863
} | 236 |
import argparse
from typing import Any, Optional
from llama_index.core.command_line.rag import RagCLI, default_ragcli_persist_dir
from llama_index.core.command_line.upgrade import upgrade_dir, upgrade_file
from llama_index.core.ingestion import IngestionCache, IngestionPipeline
from llama_index.core.llama_dataset.down... | llama_index/llama-index-core/llama_index/core/command_line/command_line.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/command_line/command_line.py",
"repo_id": "llama_index",
"token_count": 3826
} | 1,166 |
"""Base output parser class."""
from string import Formatter
from typing import TYPE_CHECKING, Any, Optional
from llama_index.legacy.output_parsers.base import ChainableOutputParser
if TYPE_CHECKING:
from llama_index.legacy.bridge.langchain import BaseOutputParser as LCOutputParser
class LangchainOutputParser(... | llama_index/llama-index-legacy/llama_index/legacy/output_parsers/langchain.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/output_parsers/langchain.py",
"repo_id": "llama_index",
"token_count": 707
} | 1,624 |
package utils
import (
"fmt"
"strconv"
"strings"
"github.com/milvus-io/milvus/internal/metastore/kv/rootcoord"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
type (
UniqueID = typeutil.UniqueID
Timestamp = typeutil.Timestamp
)
type errNotOfTsKey struct {
key string
}
func (e errNotOfTsKey) Error() stri... | milvus/cmd/tools/migration/utils/util.go/0 | {
"file_path": "milvus/cmd/tools/migration/utils/util.go",
"repo_id": "milvus",
"token_count": 416
} | 1,758 |
"""Test ChatNVIDIA chat model."""
from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage
from langchain_nvidia_ai_endpoints.chat_models import ChatNVIDIA
def test_chat_ai_endpoints() -> None:
"""Test ChatNVIDIA wrapper."""
chat = ChatNVIDIA(
model="llama2_13b",
temperatu... | langchain/libs/partners/nvidia-ai-endpoints/tests/integration_tests/test_chat_models.py/0 | {
"file_path": "langchain/libs/partners/nvidia-ai-endpoints/tests/integration_tests/test_chat_models.py",
"repo_id": "langchain",
"token_count": 1119
} | 650 |
# Copyright 2021 The Fairseq Authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | transformers/src/transformers/models/m2m_100/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/m2m_100/__init__.py",
"repo_id": "transformers",
"token_count": 768
} | 686 |
import asyncio
import uuid
from typing import Any, Callable, Optional
import git
import langsmith
import pytest
from langchain.callbacks import manager, tracers
from langchain.callbacks.tracers import run_collector
from langsmith import schemas
try:
repo = git.Repo(search_parent_directories=True)
_GITHASH = r... | langsmith-cookbook/testing-examples/pytest-ut/utils.py/0 | {
"file_path": "langsmith-cookbook/testing-examples/pytest-ut/utils.py",
"repo_id": "langsmith-cookbook",
"token_count": 3769
} | 1,098 |
import warnings
from pathlib import Path
from typing import List, Tuple, Union
import fire
from torch import nn
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, PreTrainedModel
from transformers.utils import logging
logger = logging.get_logger(__name__)
def copy_layers(src_layers: nn.ModuleList, des... | transformers/examples/research_projects/seq2seq-distillation/make_student.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/make_student.py",
"repo_id": "transformers",
"token_count": 3522
} | 538 |
import os
from argparse import Namespace, _SubParsersAction
from llama_index import SimpleDirectoryReader
from .configuration import load_index, save_index
def add_cli(args: Namespace) -> None:
"""Handle subcommand "add"."""
index = load_index()
for p in args.files:
if not os.path.exists(p):
... | llama_index/experimental/cli/cli_add.py/0 | {
"file_path": "llama_index/experimental/cli/cli_add.py",
"repo_id": "llama_index",
"token_count": 435
} | 1,169 |
from langchain_community.retrievers.knn import KNNRetriever
__all__ = ["KNNRetriever"]
| langchain/libs/langchain/langchain/retrievers/knn.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/knn.py",
"repo_id": "langchain",
"token_count": 32
} | 535 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/llama_index/packs/deeplake_multimodal_retrieval/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-deeplake-multimodal-retrieval/llama_index/packs/deeplake_multimodal_retrieval/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,697 |
""" Dataset reader that wraps Hugging Face datasets
Hacked together by / Copyright 2022 Ross Wightman
"""
import io
import math
from typing import Optional
import torch
import torch.distributed as dist
from PIL import Image
try:
import datasets
except ImportError as e:
print("Please install Hugging Face data... | pytorch-image-models/timm/data/readers/reader_hfds.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/reader_hfds.py",
"repo_id": "pytorch-image-models",
"token_count": 1150
} | 349 |
#!/usr/bin/env bash
# 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... | milvus/scripts/run_cpp_unittest.sh/0 | {
"file_path": "milvus/scripts/run_cpp_unittest.sh",
"repo_id": "milvus",
"token_count": 867
} | 1,985 |
import os
import time
import pdb
import logging
import traceback
from milvus_benchmark.env import helm_utils
from milvus_benchmark.env.base import BaseEnv
from milvus_benchmark import config
logger = logging.getLogger("milvus_benchmark.env.helm")
TIMEOUT = 5
class HelmEnv(BaseEnv):
"""helm env class wrapper"""
... | milvus/tests/benchmark/milvus_benchmark/env/helm.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/env/helm.py",
"repo_id": "milvus",
"token_count": 1469
} | 1,862 |
import inspect
import warnings
from typing import Any, Dict, Optional, Union
from packaging import version
def deprecate(*args, take_from: Optional[Union[Dict, Any]] = None, standard_warn=True, stacklevel=2):
from .. import __version__
deprecated_kwargs = take_from
values = ()
if not isinstance(args... | diffusers/src/diffusers/utils/deprecation_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/deprecation_utils.py",
"repo_id": "diffusers",
"token_count": 793
} | 268 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/multi_rate_limiter_test.go/0 | {
"file_path": "milvus/internal/proxy/multi_rate_limiter_test.go",
"repo_id": "milvus",
"token_count": 5131
} | 1,963 |
from llama_index.tools.salesforce.base import SalesforceToolSpec
__all__ = ["SalesforceToolSpec"]
| llama_index/llama-index-integrations/tools/llama-index-tools-salesforce/llama_index/tools/salesforce/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-salesforce/llama_index/tools/salesforce/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,452 |
from __future__ import annotations
import logging
import operator
import os
import pickle
import uuid
import warnings
from pathlib import Path
from typing import (
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Sized,
Tuple,
Union,
)
import numpy as np
from langchain_core.documents... | langchain/libs/community/langchain_community/vectorstores/faiss.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/faiss.py",
"repo_id": "langchain",
"token_count": 20917
} | 328 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-feishu-docs/llama_index/readers/feishu_docs/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-feishu-docs/llama_index/readers/feishu_docs/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,364 |
# YouTube
>[YouTube](https://www.youtube.com/) is an online video sharing and social media platform by Google.
> We download the `YouTube` transcripts and video information.
## Installation and Setup
```bash
pip install youtube-transcript-api
pip install pytube
```
See a [usage example](/docs/integrations/document_l... | langchain/docs/docs/integrations/providers/youtube.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/youtube.mdx",
"repo_id": "langchain",
"token_count": 164
} | 158 |
from llama_index.core.storage.kvstore.types import BaseKVStore
from llama_index.storage.kvstore.dynamodb import DynamoDBKVStore
def test_class():
names_of_base_classes = [b.__name__ for b in DynamoDBKVStore.__mro__]
assert BaseKVStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/tests/test_storage_kvstore_dynamodb.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-dynamodb/tests/test_storage_kvstore_dynamodb.py",
"repo_id": "llama_index",
"token_count": 104
} | 1,498 |
import { Redis } from "@upstash/redis";
import { UpstashRedisStore } from "@langchain/community/storage/upstash_redis";
import { AIMessage, HumanMessage } from "@langchain/core/messages";
// Pro tip: define a helper function for getting your client
// along with handling the case where your environment variables
// ar... | langchainjs/examples/src/stores/upstash_redis_storage.ts/0 | {
"file_path": "langchainjs/examples/src/stores/upstash_redis_storage.ts",
"repo_id": "langchainjs",
"token_count": 844
} | 915 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
import Trajectory from "@examples/guides/evaluation/agent_trajectory/trajectory.ts";
# Agent Trajectory
Agents can be difficult to holistically evaluate due to the breadth of actions and generation they can make. We recommend using multip... | langchainjs/docs/core_docs/docs/guides/evaluation/trajectory/trajectory_eval.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/guides/evaluation/trajectory/trajectory_eval.mdx",
"repo_id": "langchainjs",
"token_count": 386
} | 772 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/whisper/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/whisper/__init__.py",
"repo_id": "transformers",
"token_count": 1768
} | 717 |
<jupyter_start><jupyter_text>Vsdx > A [visio file](https://fr.wikipedia.org/wiki/Microsoft_Visio) (with extension .vsdx) is associated with Microsoft Visio, a diagram creation software. It stores information about the structure, layout, and graphical elements of a diagram. This format facilitates the creation and shari... | langchain/docs/docs/integrations/document_loaders/vsdx.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/vsdx.ipynb",
"repo_id": "langchain",
"token_count": 759
} | 113 |
import sys
import time
import timeout_decorator
from numpy import NaN
from pymilvus import Collection
sys.path.append("..")
from check.func_check import ResponseChecker
from utils.api_request import api_request
from utils.wrapper import trace
from utils.util_log import test_log as log
from pymilvus.orm.types import C... | milvus/tests/python_client/base/collection_wrapper.py/0 | {
"file_path": "milvus/tests/python_client/base/collection_wrapper.py",
"repo_id": "milvus",
"token_count": 7240
} | 1,950 |
from llama_index.storage.index_store.redis.base import RedisIndexStore
__all__ = ["RedisIndexStore"]
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/llama_index/storage/index_store/redis/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/llama_index/storage/index_store/redis/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,602 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/mapping.py/0 | {
"file_path": "peft/src/peft/mapping.py",
"repo_id": "peft",
"token_count": 2265
} | 330 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.ai21 import AI21
def test_text_inference_embedding_class():
names_of_base_classes = [b.__name__ for b in AI21.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-ai21/tests/test_llms_ai21.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-ai21/tests/test_llms_ai21.py",
"repo_id": "llama_index",
"token_count": 96
} | 1,299 |
"""Test utils."""
from typing import Optional, Type, Union
import pytest
from _pytest.capture import CaptureFixture
from llama_index.legacy.utils import (
_ANSI_COLORS,
_LLAMA_INDEX_COLORS,
ErrorToRetry,
_get_colored_text,
get_color_mapping,
get_tokenizer,
iter_batch,
print_text,
r... | llama_index/llama-index-legacy/tests/test_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/test_utils.py",
"repo_id": "llama_index",
"token_count": 2236
} | 1,761 |
# 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/table_transformer/test_modeling_table_transformer.py/0 | {
"file_path": "transformers/tests/models/table_transformer/test_modeling_table_transformer.py",
"repo_id": "transformers",
"token_count": 10595
} | 751 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "chat_models/ollama",
});
export * from "@langchain/community/chat_models/ollama";
| langchainjs/langchain/src/chat_models/ollama.ts/0 | {
"file_path": "langchainjs/langchain/src/chat_models/ollama.ts",
"repo_id": "langchainjs",
"token_count": 74
} | 900 |
<jupyter_start><jupyter_text>KoboldAI API[KoboldAI](https://github.com/KoboldAI/KoboldAI-Client) is a "a browser-based front-end for AI-assisted writing with multiple local & remote AI models...". It has a public and local API that is able to be used in langchain.This example goes over how to use LangChain with that AP... | langchain/docs/docs/integrations/llms/koboldai.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/koboldai.ipynb",
"repo_id": "langchain",
"token_count": 292
} | 129 |
ann_accuracy:
collections:
-
server:
cache_config.cpu_cache_capacity: 16
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: false
gpu_resource_config.cache_capacity: 4
gpu_resource_config.search_resources:
... | milvus/tests/benchmark/milvus_benchmark/suites/cpu_accuracy_ann_hnsw.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/cpu_accuracy_ann_hnsw.yaml",
"repo_id": "milvus",
"token_count": 701
} | 1,951 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/informer/test_modeling_informer.py/0 | {
"file_path": "transformers/tests/models/informer/test_modeling_informer.py",
"repo_id": "transformers",
"token_count": 10012
} | 750 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: test-datacoord-pod-failure
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
app.kubernetes.io/instance: milvus-chaos
component: datacoord
mode: fixed
value: "1"
action: pod-failur... | milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_datacoord_pod_failure.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/pod_failure/chaos_datacoord_pod_failure.yaml",
"repo_id": "milvus",
"token_count": 144
} | 1,896 |
""" Create Conv2d Factory Method
Hacked together by / Copyright 2020 Ross Wightman
"""
from .mixed_conv2d import MixedConv2d
from .cond_conv2d import CondConv2d
from .conv2d_same import create_conv2d_pad
def create_conv2d(in_channels, out_channels, kernel_size, **kwargs):
""" Select a 2d convolution implementat... | pytorch-image-models/timm/layers/create_conv2d.py/0 | {
"file_path": "pytorch-image-models/timm/layers/create_conv2d.py",
"repo_id": "pytorch-image-models",
"token_count": 652
} | 374 |
"""Test EdenAi API wrapper.
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 will return d... | langchain/libs/community/tests/integration_tests/llms/test_edenai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_edenai.py",
"repo_id": "langchain",
"token_count": 556
} | 335 |
import json
from collections import defaultdict
from html.parser import HTMLParser
from typing import Any, DefaultDict, Dict, List, Optional, cast
from langchain.callbacks.manager import (
CallbackManagerForLLMRun,
)
from langchain.schema import (
ChatGeneration,
ChatResult,
)
from langchain_community.chat... | langchain/libs/experimental/langchain_experimental/llms/anthropic_functions.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/llms/anthropic_functions.py",
"repo_id": "langchain",
"token_count": 3458
} | 422 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-ollama/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-ollama/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,271 |
from typing import Any, Optional, Sequence
from llama_index.core.base.response.schema import NodeWithScore, Response
from llama_index.core.evaluation import BaseEvaluator
from llama_index.core.evaluation.base import EvaluationResult
from llama_index.core.prompts.mixin import PromptDictType
from llama_index.core.schema... | llama_index/llama-index-core/tests/evaluation/test_base.py/0 | {
"file_path": "llama_index/llama-index-core/tests/evaluation/test_base.py",
"repo_id": "llama_index",
"token_count": 858
} | 1,259 |
import { Document } from "@langchain/core/documents";
import { BufferLoader } from "./buffer.js";
import { formatDocumentsAsString } from "../../util/document.js";
/**
* A class that extends the `BufferLoader` class. It represents a document
* loader that loads documents from PDF files.
* @example
* ```typescript
... | langchainjs/langchain/src/document_loaders/fs/pdf.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/fs/pdf.ts",
"repo_id": "langchainjs",
"token_count": 1788
} | 902 |
import argparse
import sys
import tensorrt as trt
def convert_models(onnx_path: str, num_controlnet: int, output_path: str, fp16: bool = False, sd_xl: bool = False):
"""
Function to convert models in stable diffusion controlnet pipeline into TensorRT format
Example:
python convert_stable_diffusion_c... | diffusers/scripts/convert_stable_diffusion_controlnet_to_tensorrt.py/0 | {
"file_path": "diffusers/scripts/convert_stable_diffusion_controlnet_to_tensorrt.py",
"repo_id": "diffusers",
"token_count": 1860
} | 233 |
// Adapted from turboderp exllama: https://github.com/turboderp/exllama
#ifndef _hip_compat_cuh
#define _hip_compat_cuh
// Workaround for a bug in hipamd, backported from upstream, this is fixed in ROCm 5.6.
__device__ __forceinline__ __half __compat_hrcp(__half x) {
return __half_raw{
static_cast<_Float1... | text-generation-inference/server/exllama_kernels/exllama_kernels/hip_compat.cuh/0 | {
"file_path": "text-generation-inference/server/exllama_kernels/exllama_kernels/hip_compat.cuh",
"repo_id": "text-generation-inference",
"token_count": 1707
} | 415 |
from llama_index.finetuning.embeddings import (
EmbeddingAdapterFinetuneEngine,
SentenceTransformersFinetuneEngine,
)
from llama_index.finetuning.types import BaseEmbeddingFinetuneEngine
def test_class():
names_of_base_classes = [b.__name__ for b in EmbeddingAdapterFinetuneEngine.__mro__]
assert BaseE... | llama_index/llama-index-finetuning/tests/embeddings/test_embeddings_classes.py/0 | {
"file_path": "llama_index/llama-index-finetuning/tests/embeddings/test_embeddings_classes.py",
"repo_id": "llama_index",
"token_count": 204
} | 1,164 |
import { Serializable } from "../load/serializable.js";
import type { Example } from "../prompts/base.js";
/**
* Base class for example selectors.
*/
export abstract class BaseExampleSelector extends Serializable {
lc_namespace = ["langchain_core", "example_selectors", "base"];
/**
* Adds an example to the e... | langchainjs/langchain-core/src/example_selectors/base.ts/0 | {
"file_path": "langchainjs/langchain-core/src/example_selectors/base.ts",
"repo_id": "langchainjs",
"token_count": 232
} | 895 |
import { SupabaseVectorStore } from "@langchain/community/vectorstores/supabase";
import { OpenAIEmbeddings } from "@langchain/openai";
import { createClient } from "@supabase/supabase-js";
// First, follow set-up instructions at
// https://js.langchain.com/docs/modules/indexes/vector_stores/integrations/supabase
con... | langchainjs/examples/src/indexes/vector_stores/supabase_deletion.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/supabase_deletion.ts",
"repo_id": "langchainjs",
"token_count": 506
} | 881 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/gmail/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-google/llama_index/readers/google/gmail/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,500 |
import pytest
from llama_index.legacy.embeddings.llm_rails import LLMRailsEmbedding
@pytest.fixture()
def model_id() -> str:
# Replace with model name
return "your_model_id"
@pytest.fixture()
def api_key() -> str:
# Replace with your api key
return "your_api_key"
def test_llm_rails_embedding_const... | llama_index/llama-index-legacy/tests/embeddings/test_llm_rails.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/embeddings/test_llm_rails.py",
"repo_id": "llama_index",
"token_count": 182
} | 1,795 |
<jupyter_start><jupyter_text>OpenAI Agent Query PlanningIn this demo, we explore adding a `QueryPlanTool` to an `OpenAIAgent`. This effectively enables the agentto do advanced query planning, all through a single tool! The `QueryPlanTool` is designed to work well with the OpenAI Function API. The tool takes in a set of... | llama_index/docs/examples/agent/openai_agent_query_plan.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/openai_agent_query_plan.ipynb",
"repo_id": "llama_index",
"token_count": 2379
} | 1,170 |
<jupyter_start><jupyter_text>Simple Self RAG NotebookThis LlamaPack implements short form the [self-RAG paper by Akari et al.](https://arxiv.org/pdf/2310.11511.pdf).Novel framework called Self-Reflective Retrieval-Augmented Generation (SELF-RAG). Which aims to enhance the quality and factuality of large language models... | llama_index/llama-index-packs/llama-index-packs-self-rag/examples/self_rag.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-self-rag/examples/self_rag.ipynb",
"repo_id": "llama_index",
"token_count": 2045
} | 1,592 |
<jupyter_start><jupyter_text>Airbyte Typeform >[Airbyte](https://github.com/airbytehq/airbyte) is a data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes. It has the largest catalog of ELT connectors to data warehouses and databases.This loader exposes the Typeform connector as ... | langchain/docs/docs/integrations/document_loaders/airbyte_typeform.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/airbyte_typeform.ipynb",
"repo_id": "langchain",
"token_count": 946
} | 96 |
package typeutil
import (
"fmt"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
)
type kvPairsHelper[K comparable, V any] struct {
kvPairs map[K]V
}
func (h *kvPairsHelper[K, V]) Get(k K) (V, error) {
v, ok := h.kvPairs[k]
if !ok {
return v, fmt.Errorf("%v not found", k)
}
return v, nil
}
func NewK... | milvus/pkg/util/typeutil/kv_pair_helper.go/0 | {
"file_path": "milvus/pkg/util/typeutil/kv_pair_helper.go",
"repo_id": "milvus",
"token_count": 255
} | 1,926 |
terraform {
required_providers {
render = {
source = "jackall3n/render"
version = "~> 1.3.0"
}
}
}
variable "render_api_token" {
sensitive = true
}
variable "render_user_email" {
sensitive = true
}
provider "render" {
api_key = var.render_api_token
}
data "render_owner" "render_owner"... | chroma/examples/deployments/render-terraform/chroma.tf/0 | {
"file_path": "chroma/examples/deployments/render-terraform/chroma.tf",
"repo_id": "chroma",
"token_count": 937
} | 39 |
from llama_index.packs.cogniswitch_agent.base import CogniswitchAgentPack
__all__ = ["CogniswitchAgentPack"]
| llama_index/llama-index-packs/llama-index-packs-cogniswitch-agent/llama_index/packs/cogniswitch_agent/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-cogniswitch-agent/llama_index/packs/cogniswitch_agent/__init__.py",
"repo_id": "llama_index",
"token_count": 37
} | 1,778 |
# Multi-modal
LlamaIndex offers capabilities to not only build language-based applications, but also **multi-modal** applications - combining language and images.
## Types of Multi-modal Use Cases
This space is actively being explored right now, but there are some fascinating use cases popping up.
### RAG (Retrieva... | llama_index/docs/use_cases/multimodal.md/0 | {
"file_path": "llama_index/docs/use_cases/multimodal.md",
"repo_id": "llama_index",
"token_count": 1243
} | 1,111 |
# coding=utf-8
# Copyright 2023 The Intel Team Authors, 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/tests/models/tvp/test_image_processing_tvp.py/0 | {
"file_path": "transformers/tests/models/tvp/test_image_processing_tvp.py",
"repo_id": "transformers",
"token_count": 5453
} | 846 |
use crate::tokenizer::{NormalizedString, Normalizer, Result};
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Deserialize, Serialize)]
#[serde(tag = "type")]
pub struct Prepend {
pub prepend: String,
}
impl Prepend {
pub fn new(prepend: String) -> Self {
Self { prepend }
}
}
impl Norm... | tokenizers/tokenizers/src/normalizers/prepend.rs/0 | {
"file_path": "tokenizers/tokenizers/src/normalizers/prepend.rs",
"repo_id": "tokenizers",
"token_count": 856
} | 432 |
# FILE: bandit.yaml
exclude_dirs: [ 'chromadb/test', 'bin', 'build', 'build', '.git', '.venv', 'venv', 'env','.github','examples','clients/js','.vscode' ]
tests: [ ]
skips: [ ]
| chroma/bandit.yaml/0 | {
"file_path": "chroma/bandit.yaml",
"repo_id": "chroma",
"token_count": 75
} | 10 |
# 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_k_diffusion/pipeline_stable_diffusion_k_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_k_diffusion/pipeline_stable_diffusion_k_diffusion.py",
"repo_id": "diffusers",
"token_count": 14465
} | 258 |
@@@@base_visitor
@@root_base@@Visitor
####
@@@@body@struct_name
void
visit(@@struct_name@@& @@parameter_name@@) override;
####
@@@@main
#pragma once
// Generated File
// DO NOT EDIT
@@extra_inc@@
#include "@@base_visitor@@.h"
namespace @@namespace@@ {
class @@visitor_name@@ : public @@base_visitor@@ {
public:... | milvus/tools/core_gen/templates/visitor_derived.h/0 | {
"file_path": "milvus/tools/core_gen/templates/visitor_derived.h",
"repo_id": "milvus",
"token_count": 145
} | 1,917 |
## Description of changes
*Summarize the changes made by this PR.*
- Improvements & Bug fixes
- ...
- New functionality
- ...
## Test plan
*How are these changes tested?*
- [ ] Tests pass locally with `pytest` for python, `yarn test` for js
## Documentation Changes
*Are all docstrings for user-facing APIs upd... | chroma/pull_request_template.md/0 | {
"file_path": "chroma/pull_request_template.md",
"repo_id": "chroma",
"token_count": 120
} | 57 |
python_sources()
| llama_index/llama-index-core/llama_index/core/node_parser/text/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/node_parser/text/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,232 |
from conans import ConanFile
class MilvusConan(ConanFile):
settings = "os", "compiler", "build_type", "arch"
requires = (
"rocksdb/6.29.5@milvus/dev",
"boost/1.82.0",
"onetbb/2021.9.0",
"nlohmann_json/3.11.2",
"zstd/1.5.4",
"lz4/1.9.4",
"snappy/1.1.9",
... | milvus/internal/core/conanfile.py/0 | {
"file_path": "milvus/internal/core/conanfile.py",
"repo_id": "milvus",
"token_count": 1865
} | 1,861 |
<!--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/levit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/levit.md",
"repo_id": "transformers",
"token_count": 1801
} | 445 |
# SSL ResNet
**Residual Networks**, or **ResNets**, learn residual functions with reference to the layer inputs, instead of learning unreferenced functions. Instead of hoping each few stacked layers directly fit a desired underlying mapping, residual nets let these layers fit a residual mapping. They stack [residual b... | pytorch-image-models/docs/models/.templates/models/ssl-resnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/ssl-resnet.md",
"repo_id": "pytorch-image-models",
"token_count": 1616
} | 361 |
<jupyter_start><jupyter_text>---sidebar_position: 2title: Multi-language anonymization---<jupyter_code># Multi-language data anonymization with Microsoft Presidio
[](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/doc... | langchain/docs/docs/guides/privacy/presidio_data_anonymization/multi_language.ipynb/0 | {
"file_path": "langchain/docs/docs/guides/privacy/presidio_data_anonymization/multi_language.ipynb",
"repo_id": "langchain",
"token_count": 3724
} | 88 |
---
sidebar_label: Minimax
---
import CodeBlock from "@theme/CodeBlock";
# Minimax
[Minimax](https://api.minimax.chat) is a Chinese startup that provides natural language processing models for companies and individuals.
This example demonstrates using LangChain.js to interact with Minimax.
## Setup
To use Minimax... | langchainjs/docs/core_docs/docs/integrations/chat/minimax.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/minimax.mdx",
"repo_id": "langchainjs",
"token_count": 682
} | 709 |
[tool.pytest.ini_options]
markers = [
"base: marker for model tests using the basic setup",
"cfg: marker for model tests checking the config",
"torchscript: marker for model tests using torchscript",
"features: marker for model tests checking feature extraction",
"fxforward: marker for model tests u... | pytorch-image-models/pyproject.toml/0 | {
"file_path": "pytorch-image-models/pyproject.toml",
"repo_id": "pytorch-image-models",
"token_count": 169
} | 324 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-docstring-walker/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-docstring-walker/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,359 |
<!--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/ko/tasks/audio_classification.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/audio_classification.md",
"repo_id": "transformers",
"token_count": 8151
} | 498 |
import { ChainValues } from "@langchain/core/utils/types";
import { CallbackManagerForChainRun } from "@langchain/core/callbacks/manager";
import { BaseChain, ChainInputs } from "./base.js";
import {
SerializedBaseChain,
SerializedSequentialChain,
SerializedSimpleSequentialChain,
} from "./serde.js";
import { int... | langchainjs/langchain/src/chains/sequential_chain.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/sequential_chain.ts",
"repo_id": "langchainjs",
"token_count": 4327
} | 884 |
# coding=utf-8
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/auto/test_modeling_auto.py/0 | {
"file_path": "transformers/tests/models/auto/test_modeling_auto.py",
"repo_id": "transformers",
"token_count": 10171
} | 703 |
# Kibela Reader
This reader fetches article from your [Kibela](https://kibe.la/) notes using the GraphQL API.
# Usage
Here's an example of how to use it. You can get your access token from [here](https://my.kibe.la/settings/access_tokens).
```python
import os
from llama_hub.kibela import KibelaReader
team = os.env... | llama_index/llama-index-integrations/readers/llama-index-readers-kibela/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-kibela/README.md",
"repo_id": "llama_index",
"token_count": 277
} | 1,418 |
#include <torch/extension.h>
#include <ATen/ATen.h>
#include <vector>
std::vector<at::Tensor> fast_hash_ver1_kernel(
at::Tensor query_mask,
at::Tensor query_vector,
at::Tensor key_mask,
at::Tensor key_vector,
int num_hash_f,
int hash_code_len,
bool use_cuda
);
at::Tensor lsh_cumulation_ver1_kernel(
at... | transformers/src/transformers/kernels/yoso/fast_lsh_cumulation.h/0 | {
"file_path": "transformers/src/transformers/kernels/yoso/fast_lsh_cumulation.h",
"repo_id": "transformers",
"token_count": 639
} | 598 |
[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 = ["VectaraRagPack"]
contains_example = false
import_path = "llama_index.packs.vectara_rag"
... | llama_index/llama-index-packs/llama-index-packs-vectara-rag/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-vectara-rag/pyproject.toml",
"repo_id": "llama_index",
"token_count": 697
} | 1,602 |
# FBNet
**FBNet** is a type of convolutional neural architectures discovered through [DNAS](https://paperswithcode.com/method/dnas) neural architecture search. It utilises a basic type of image model block inspired by [MobileNetv2](https://paperswithcode.com/method/mobilenetv2) that utilises depthwise convolutions and... | pytorch-image-models/docs/models/.templates/models/fbnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/fbnet.md",
"repo_id": "pytorch-image-models",
"token_count": 896
} | 345 |
#include <torch/extension.h>
#include <ATen/ATen.h>
#include "fast_lsh_cumulation.h"
#include "common_cuda.h"
#include <vector>
std::vector<at::Tensor> fast_hash(
at::Tensor query_mask,
at::Tensor query_vector,
at::Tensor key_mask,
at::Tensor key_vector,
int num_hash_f,
int hash_code_len,
bool use_cuda,
... | transformers/src/transformers/kernels/yoso/fast_lsh_cumulation_torch.cpp/0 | {
"file_path": "transformers/src/transformers/kernels/yoso/fast_lsh_cumulation_torch.cpp",
"repo_id": "transformers",
"token_count": 1498
} | 566 |
<jupyter_start><jupyter_text>Timescale Vector Store (PostgreSQL)This notebook shows how to use the Postgres vector store `TimescaleVector` to store and query vector embeddings. What is Timescale Vector?**[Timescale Vector](https://www.timescale.com/ai) is PostgreSQL++ for AI applications.**Timescale Vector enables you ... | llama_index/docs/examples/vector_stores/Timescalevector.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/Timescalevector.ipynb",
"repo_id": "llama_index",
"token_count": 8598
} | 1,135 |
"""LLM Chains for evaluating question answering."""
from __future__ import annotations
import re
import string
from typing import Any, List, Optional, Sequence, Tuple
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import PromptTemplate
from langchain_core.pydantic_v1 import E... | langchain/libs/langchain/langchain/evaluation/qa/eval_chain.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/qa/eval_chain.py",
"repo_id": "langchain",
"token_count": 4851
} | 503 |
import math
import torch
import json
from loguru import logger
from functools import lru_cache
from typing import Optional, List, Dict, Union
from text_generation_server.pb.generate_pb2 import GrammarType
from outlines.fsm.fsm import RegexFSM
from outlines.fsm.json_schema import build_regex_from_object
from functools... | text-generation-inference/server/text_generation_server/utils/logits_process.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/logits_process.py",
"repo_id": "text-generation-inference",
"token_count": 9580
} | 421 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/trainer/test_data_collator.py/0 | {
"file_path": "transformers/tests/trainer/test_data_collator.py",
"repo_id": "transformers",
"token_count": 19982
} | 793 |
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