text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/schedulers/scheduling_consistency_models.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_consistency_models.py",
"repo_id": "diffusers",
"token_count": 8102
} | 256 |
/* eslint-disable no-process-env */
import * as uuid from "uuid";
import { test } from "@jest/globals";
import { LangChainTracer, Run } from "../tracer_langchain.js";
import { Serialized } from "../../load/serializable.js";
import { HumanMessage } from "../../messages/index.js";
const serialized: Serialized = {
lc:... | langchainjs/langchain-core/src/tracers/tests/langchain_tracer.int.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/tracers/tests/langchain_tracer.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1027
} | 871 |
# flake8: noqa
from langchain.chains.prompt_selector import ConditionalPromptSelector, is_chat_model
from langchain_core.prompts.chat import (
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from langchain_core.prompts.prompt import PromptTemplate
templ1 = """You are a smart ... | langchain/libs/langchain/langchain/chains/qa_generation/prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/qa_generation/prompt.py",
"repo_id": "langchain",
"token_count": 552
} | 463 |
import re
from pathlib import Path
from typing import Dict, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class IPYNBReader(BaseReader):
"""Image parser."""
def __init__(
self,
parser_config: Optional[Dict] = None,
co... | llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/ipynb/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/ipynb/base.py",
"repo_id": "llama_index",
"token_count": 560
} | 1,491 |
[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 = ["OpenAIAgent", "OpenAIAgentWorker", "OpenAIAssistantAgent"]
contains_example = false
impor... | llama_index/llama-index-integrations/agent/llama-index-agent-openai/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/agent/llama-index-agent-openai/pyproject.toml",
"repo_id": "llama_index",
"token_count": 667
} | 1,225 |
from typing import TYPE_CHECKING
from ....utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_latent_diffusion_uncond": ["LDMPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_latent_diffusion_uncond import LDMPipeline
else:
import sys
sys.modules[__name__]... | diffusers/src/diffusers/pipelines/deprecated/latent_diffusion_uncond/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/latent_diffusion_uncond/__init__.py",
"repo_id": "diffusers",
"token_count": 190
} | 242 |
import { SRTLoader } from "langchain/document_loaders/fs/srt";
export const run = async () => {
const loader = new SRTLoader(
"src/document_loaders/example_data/Star_Wars_The_Clone_Wars_S06E07_Crisis_at_the_Heart.srt"
);
const docs = await loader.load();
console.log({ docs });
};
| langchainjs/examples/src/document_loaders/srt.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/srt.ts",
"repo_id": "langchainjs",
"token_count": 109
} | 811 |
package model
import "github.com/milvus-io/milvus/internal/proto/internalpb"
type Credential struct {
Username string
EncryptedPassword string
Tenant string
IsSuper bool
Sha256Password string
}
func MarshalCredentialModel(cred *Credential) *internalpb.CredentialInfo {
if cred =... | milvus/internal/metastore/model/credential.go/0 | {
"file_path": "milvus/internal/metastore/model/credential.go",
"repo_id": "milvus",
"token_count": 251
} | 1,727 |
package typeutil
import (
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/proto/internalpb"
"github.com/milvus-io/milvus/internal/proto/segcorepb"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
type RetrieveRes... | milvus/internal/util/typeutil/retrieve_result.go/0 | {
"file_path": "milvus/internal/util/typeutil/retrieve_result.go",
"repo_id": "milvus",
"token_count": 727
} | 1,804 |
"""Sentence Transformer Finetuning Engine."""
from typing import Any, Optional
from llama_index.legacy.embeddings.base import BaseEmbedding
from llama_index.legacy.embeddings.utils import resolve_embed_model
from llama_index.legacy.finetuning.embeddings.common import (
EmbeddingQAFinetuneDataset,
)
from llama_ind... | llama_index/llama-index-legacy/llama_index/legacy/finetuning/embeddings/sentence_transformer.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/finetuning/embeddings/sentence_transformer.py",
"repo_id": "llama_index",
"token_count": 1500
} | 1,565 |
#!/usr/bin/env bash
set -euxo pipefail
export CI=true
# enable extended globbing for omitting build artifacts
shopt -s extglob
# avoid copying build artifacts from the host
cp -r ../langchain/!(node_modules|dist|dist-cjs|dist-esm|build|.next|.turbo) ./
yarn
# Check the test command completes successfully
NODE_OPT... | langchainjs/dependency_range_tests/scripts/test-langchain-with-latest-deps.sh/0 | {
"file_path": "langchainjs/dependency_range_tests/scripts/test-langchain-with-latest-deps.sh",
"repo_id": "langchainjs",
"token_count": 150
} | 764 |
# OpenDAL Loaders
## Base OpendalReader
This loader parses any file via [Apache OpenDAL](https://github.com/apache/incubator-opendal).
All files are temporarily downloaded locally and subsequently parsed with `SimpleDirectoryReader`. Hence, you may also specify a custom `file_extractor`, relying on any of the loader... | llama_index/llama-index-integrations/readers/llama-index-readers-opendal/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-opendal/README.md",
"repo_id": "llama_index",
"token_count": 1445
} | 1,350 |
import importlib
import torch
import yaml
from omegaconf import OmegaConf
from taming.models.vqgan import VQModel
def load_config(config_path, display=False):
config = OmegaConf.load(config_path)
if display:
print(yaml.dump(OmegaConf.to_container(config)))
return config
def load_vqgan(device, c... | transformers/examples/research_projects/vqgan-clip/loaders.py/0 | {
"file_path": "transformers/examples/research_projects/vqgan-clip/loaders.py",
"repo_id": "transformers",
"token_count": 926
} | 618 |
# coding=utf-8
# Copyright 2022 Sea AI Lab 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... | transformers/src/transformers/models/poolformer/modeling_poolformer.py/0 | {
"file_path": "transformers/src/transformers/models/poolformer/modeling_poolformer.py",
"repo_id": "transformers",
"token_count": 7408
} | 647 |
from langchain_community.document_loaders.nuclia import NucliaLoader
__all__ = ["NucliaLoader"]
| langchain/libs/langchain/langchain/document_loaders/nuclia.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/nuclia.py",
"repo_id": "langchain",
"token_count": 32
} | 485 |
import { GoogleGenerativeAIEmbeddings } from "@langchain/google-genai";
import { TaskType } from "@google/generative-ai";
/*
* Before running this, you should make sure you have created a
* Google Cloud Project that has `generativelanguage` API enabled.
*
* You will also need to generate an API key and set
* an e... | langchainjs/examples/src/models/embeddings/googlegenerativeai.ts/0 | {
"file_path": "langchainjs/examples/src/models/embeddings/googlegenerativeai.ts",
"repo_id": "langchainjs",
"token_count": 1198
} | 808 |
"""Office365 toolkit."""
| langchain/libs/langchain/langchain/agents/agent_toolkits/office365/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/office365/__init__.py",
"repo_id": "langchain",
"token_count": 8
} | 460 |
from llama_index.legacy.storage.kvstore.firestore_kvstore import FirestoreKVStore
from llama_index.legacy.storage.kvstore.mongodb_kvstore import MongoDBKVStore
from llama_index.legacy.storage.kvstore.redis_kvstore import RedisKVStore
from llama_index.legacy.storage.kvstore.simple_kvstore import SimpleKVStore
__all__ =... | llama_index/llama-index-legacy/llama_index/legacy/storage/kvstore/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/storage/kvstore/__init__.py",
"repo_id": "llama_index",
"token_count": 145
} | 1,604 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/llms/llama-index-llms-openrouter/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openrouter/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,295 |
/* eslint-disable no-process-env */
import { test, expect } from "@jest/globals";
import weaviate, { ApiKey } from "weaviate-ts-client";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
import { WeaviateStore } from "../vectorstores.js";
test("WeaviateStore", ... | langchainjs/libs/langchain-weaviate/src/tests/vectorstores.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-weaviate/src/tests/vectorstores.int.test.ts",
"repo_id": "langchainjs",
"token_count": 4329
} | 1,069 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/proxy/util.go/0 | {
"file_path": "milvus/internal/proxy/util.go",
"repo_id": "milvus",
"token_count": 18827
} | 1,970 |
python_sources()
| llama_index/llama-index-core/llama_index/core/indices/common/struct_store/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/common/struct_store/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,150 |
import { OpenAI } from "@langchain/openai";
import { ZapierNLAWrapper } from "langchain/tools";
import {
initializeAgentExecutorWithOptions,
ZapierToolKit,
} from "langchain/agents";
const model = new OpenAI({ temperature: 0 });
const zapier = new ZapierNLAWrapper();
const toolkit = await ZapierToolKit.fromZapierN... | langchainjs/examples/src/agents/zapier_mrkl.ts/0 | {
"file_path": "langchainjs/examples/src/agents/zapier_mrkl.ts",
"repo_id": "langchainjs",
"token_count": 260
} | 814 |
from unittest.mock import MagicMock, patch
from llama_index.core.graph_stores.types import GraphStore
from llama_index.graph_stores.kuzu import KuzuGraphStore
@patch("llama_index.graph_stores.kuzu.KuzuGraphStore")
def test_kuzu_graph_store(MockKuzuGraphStore: MagicMock):
instance: KuzuGraphStore = MockKuzuGraphS... | llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-kuzu/tests/test_graph_stores_kuzu.py/0 | {
"file_path": "llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-kuzu/tests/test_graph_stores_kuzu.py",
"repo_id": "llama_index",
"token_count": 136
} | 1,282 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/common/RangeSearchHelper.cpp/0 | {
"file_path": "milvus/internal/core/src/common/RangeSearchHelper.cpp",
"repo_id": "milvus",
"token_count": 2436
} | 1,745 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-awadb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,448 |
# coding=utf-8
# Copyright 2020 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... | transformers/tests/models/funnel/test_modeling_tf_funnel.py/0 | {
"file_path": "transformers/tests/models/funnel/test_modeling_tf_funnel.py",
"repo_id": "transformers",
"token_count": 6844
} | 761 |
from llama_index.storage.docstore.firestore.base import FirestoreDocumentStore
__all__ = ["FirestoreDocumentStore"]
| llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-firestore/llama_index/storage/docstore/firestore/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-firestore/llama_index/storage/docstore/firestore/__init__.py",
"repo_id": "llama_index",
"token_count": 33
} | 1,591 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/query/Relational.h/0 | {
"file_path": "milvus/internal/core/src/query/Relational.h",
"repo_id": "milvus",
"token_count": 842
} | 1,760 |
"""Agent utils."""
from llama_index.core.agent.types import TaskStep
from llama_index.core.base.llms.types import MessageRole
from llama_index.core.llms.base import ChatMessage
from llama_index.core.memory import BaseMemory
def add_user_step_to_memory(
step: TaskStep, memory: BaseMemory, verbose: bool = False
)... | llama_index/llama-index-core/llama_index/core/agent/utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/agent/utils.py",
"repo_id": "llama_index",
"token_count": 188
} | 1,117 |
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.embeddings.openai import OpenAIEmbedding
def test_openai_embedding_class():
names_of_base_classes = [b.__name__ for b in OpenAIEmbedding.__mro__]
assert BaseEmbedding.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-openai/tests/test_embeddings_openai.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-openai/tests/test_embeddings_openai.py",
"repo_id": "llama_index",
"token_count": 108
} | 1,195 |
# LlamaIndex Vector_Stores Integration: Jaguar
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,558 |
import { ChatOpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
const model = new ChatOpenAI({});
const promptTemplate = PromptTemplate.fromTemplate(
"Tell me a joke about {topic}"
);
const chain = promptTemplate.pipe(model);
const result = await chain.batch([{ topic: "bea... | langchainjs/examples/src/guides/expression_language/interface_batch.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/interface_batch.ts",
"repo_id": "langchainjs",
"token_count": 204
} | 867 |
# LlamaIndex Embeddings Integration: Together
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-together/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-together/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,257 |
# 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... | transformers/src/transformers/integrations/aqlm.py/0 | {
"file_path": "transformers/src/transformers/integrations/aqlm.py",
"repo_id": "transformers",
"token_count": 1821
} | 635 |
import { OpenAI } from "@langchain/openai";
import { RegexParser } from "langchain/output_parsers";
import { PromptTemplate } from "@langchain/core/prompts";
export const run = async () => {
const parser = new RegexParser(
/Humor: ([0-9]+), Sophistication: (A|B|C|D|E)/,
["mark", "grade"],
"noConfidence"
... | langchainjs/examples/src/prompts/regex_parser.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/regex_parser.ts",
"repo_id": "langchainjs",
"token_count": 366
} | 814 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_attend_and_excite.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_attend_and_excite.py",
"repo_id": "diffusers",
"token_count": 3673
} | 284 |
import type { Conversation } from "$lib/types/Conversation";
import type { Message } from "$lib/types/Message";
export function convertLegacyConversation(
conv: Pick<Conversation, "messages" | "rootMessageId" | "preprompt">
): Pick<Conversation, "messages" | "rootMessageId" | "preprompt"> {
if (conv.rootMessageId) r... | chat-ui/src/lib/utils/tree/convertLegacyConversation.ts/0 | {
"file_path": "chat-ui/src/lib/utils/tree/convertLegacyConversation.ts",
"repo_id": "chat-ui",
"token_count": 346
} | 107 |
import torch
from typing import Optional
from text_generation_server.models.flash_mistral import BaseFlashMistral
from text_generation_server.models.custom_modeling.flash_mixtral_modeling import (
MixtralConfig,
FlashMixtralForCausalLM,
)
class FlashMixtral(BaseFlashMistral):
def __init__(
self,... | text-generation-inference/server/text_generation_server/models/flash_mixtral.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/flash_mixtral.py",
"repo_id": "text-generation-inference",
"token_count": 379
} | 403 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ja/quicktour.md/0 | {
"file_path": "diffusers/docs/source/ja/quicktour.md",
"repo_id": "diffusers",
"token_count": 7835
} | 191 |
<jupyter_start><jupyter_text>MongoDB>`MongoDB` is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, `MongoDB` uses `JSON`-like documents with optional schemas.>>`MongoDB` is developed by MongoDB Inc. and licensed under the Server Side Public License (SSPL). - ... | langchain/docs/docs/integrations/memory/mongodb_chat_message_history.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/mongodb_chat_message_history.ipynb",
"repo_id": "langchain",
"token_count": 1057
} | 136 |
from llama_index.retrievers.pathway.base import PathwayRetriever
__all__ = ["PathwayRetriever"]
| llama_index/llama-index-integrations/retrievers/llama-index-retrievers-pathway/llama_index/retrievers/pathway/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/retrievers/llama-index-retrievers-pathway/llama_index/retrievers/pathway/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,585 |
import random
from datetime import datetime, timedelta
from typing import List
from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers import BaseOutputParser
from langchain_core.utils import comma_list
def _generate_random_datetime_strings(
pattern: str,
n: int = 3,
... | langchain/libs/langchain/langchain/output_parsers/datetime.py/0 | {
"file_path": "langchain/libs/langchain/langchain/output_parsers/datetime.py",
"repo_id": "langchain",
"token_count": 755
} | 559 |
# Long Form Question Answering
Author: @yjernite
This folder contains the code for the Long Form Question answering [demo](http://35.226.96.115:8080/) as well as methods to train and use a fully end-to-end Long Form Question Answering system using the [🤗transformers](https://github.com/huggingface/transformers) and ... | transformers/examples/research_projects/longform-qa/README.md/0 | {
"file_path": "transformers/examples/research_projects/longform-qa/README.md",
"repo_id": "transformers",
"token_count": 208
} | 590 |
#!/usr/bin/env bash
export PYTHONPATH="../":"${PYTHONPATH}"
export WANDB_PROJECT=dmar
export MAX_LEN=128
python finetune.py \
--learning_rate=3e-4 \
--do_train \
--do_predict \
--fp16 \
--val_check_interval 0.25 \
--data_dir $ENRO_DIR \
--max_source_length $MAX_LEN --max_target_length $MAX_LEN --val_max_t... | transformers/examples/research_projects/seq2seq-distillation/distil_marian_no_teacher.sh/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/distil_marian_no_teacher.sh",
"repo_id": "transformers",
"token_count": 274
} | 554 |
""" Summary utilities
Hacked together by / Copyright 2020 Ross Wightman
"""
import csv
import os
from collections import OrderedDict
try:
import wandb
except ImportError:
pass
def get_outdir(path, *paths, inc=False):
outdir = os.path.join(path, *paths)
if not os.path.exists(outdir):
os.maked... | pytorch-image-models/timm/utils/summary.py/0 | {
"file_path": "pytorch-image-models/timm/utils/summary.py",
"repo_id": "pytorch-image-models",
"token_count": 633
} | 376 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/pipelines/automatic_speech_recognition.py/0 | {
"file_path": "transformers/src/transformers/pipelines/automatic_speech_recognition.py",
"repo_id": "transformers",
"token_count": 16936
} | 761 |
[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 = ["TairVectorStore"]
contains_example = false
import_path = "llama_index.vector_stores.tair"... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/pyproject.toml",
"repo_id": "llama_index",
"token_count": 649
} | 1,679 |
//! Tensors are N-dimensional matrixes of elements using a single data type.
#![allow(clippy::redundant_closure_call)]
use crate::backend::{BackendDevice, BackendStorage};
use crate::op::{
BackpropOp, BinaryOp, CmpOp, CustomOp1, CustomOp2, CustomOp3, Op, ReduceOp, UnaryOp,
};
use crate::scalar::TensorOrScalar;
use ... | candle/candle-core/src/tensor.rs/0 | {
"file_path": "candle/candle-core/src/tensor.rs",
"repo_id": "candle",
"token_count": 50067
} | 34 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/common/FieldData.h/0 | {
"file_path": "milvus/internal/core/src/common/FieldData.h",
"repo_id": "milvus",
"token_count": 1677
} | 1,918 |
import base64
import io
from pathlib import Path
from langchain_community.vectorstores import Chroma
from langchain_core.documents import Document
from langchain_core.messages import HumanMessage
from langchain_core.output_parsers import StrOutputParser
from langchain_core.pydantic_v1 import BaseModel
from langchain_c... | langchain/templates/rag-gemini-multi-modal/rag_gemini_multi_modal/chain.py/0 | {
"file_path": "langchain/templates/rag-gemini-multi-modal/rag_gemini_multi_modal/chain.py",
"repo_id": "langchain",
"token_count": 1514
} | 690 |
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE en-export SYSTEM "http://xml.evernote.com/pub/evernote-export4.dtd">
<en-export export-date="20230613T110102Z" application="Evernote" version="10.56.9">
</en-export>
| langchain/libs/community/tests/unit_tests/document_loaders/sample_documents/empty_export.enex/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/sample_documents/empty_export.enex",
"repo_id": "langchain",
"token_count": 88
} | 373 |
from datetime import datetime
from time import sleep
from typing import Any, Callable, List, Union
from uuid import uuid4
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import (
BaseMessage,
message_to_dict,
messages_from_dict,
)
class RocksetChatMessageHistor... | langchain/libs/community/langchain_community/chat_message_histories/rocksetdb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/rocksetdb.py",
"repo_id": "langchain",
"token_count": 4700
} | 217 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/beit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/beit.md",
"repo_id": "transformers",
"token_count": 2186
} | 477 |
# LlamaIndex Llms Integration: Litellm
| llama_index/llama-index-integrations/llms/llama-index-llms-litellm/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-litellm/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,283 |
import re
from contextlib import AbstractContextManager, nullcontext
from typing import Dict, Optional, Tuple, Type, Union
from unittest.mock import patch
import pytest
from langchain_core.utils import check_package_version
from langchain_core.utils._merge import merge_dicts
@pytest.mark.parametrize(
("package"... | langchain/libs/core/tests/unit_tests/utils/test_utils.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/utils/test_utils.py",
"repo_id": "langchain",
"token_count": 1789
} | 452 |
from llama_index.core.base.base_query_engine import BaseQueryEngine
# SQL
from llama_index.core.indices.struct_store.sql_query import (
NLSQLTableQueryEngine,
PGVectorSQLQueryEngine,
SQLTableRetrieverQueryEngine,
)
from llama_index.core.query_engine.citation_query_engine import CitationQueryEngine
from lla... | llama_index/llama-index-core/llama_index/core/query_engine/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/query_engine/__init__.py",
"repo_id": "llama_index",
"token_count": 982
} | 1,196 |
from langchain.schema.prompt import __all__
EXPECTED_ALL = ["PromptValue"]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/schema/test_prompt.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/schema/test_prompt.py",
"repo_id": "langchain",
"token_count": 60
} | 617 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/swin/convert_swin_simmim_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/swin/convert_swin_simmim_to_pytorch.py",
"repo_id": "transformers",
"token_count": 2896
} | 672 |
python_tests()
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-jinaai/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,248 |
import typing
from typing import Sequence, Union
from llama_index.legacy.core.llms.types import MessageRole
from llama_index.legacy.llms.base import (
ChatMessage,
ChatResponse,
CompletionResponse,
)
if typing.TYPE_CHECKING:
import google.ai.generativelanguage as glm
import google.generativeai as ... | llama_index/llama-index-legacy/llama_index/legacy/llms/gemini_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/gemini_utils.py",
"repo_id": "llama_index",
"token_count": 1683
} | 1,504 |
[tool.poetry]
name = "__package_name__"
version = "0.0.1"
description = "An integration package connecting __ModuleName__ and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
license = "MIT"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langcha... | langchain/libs/cli/langchain_cli/integration_template/pyproject.toml/0 | {
"file_path": "langchain/libs/cli/langchain_cli/integration_template/pyproject.toml",
"repo_id": "langchain",
"token_count": 903
} | 213 |
GIT_ROOT ?= $(shell git rev-parse --show-toplevel)
help: ## Show all Makefile targets.
@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[33m%-30s\033[0m %s\n", $$1, $$2}'
format: ## Run code autoformatters (black).
pre-commit install
git ls-files | xargs pre-commit ru... | llama_index/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/Makefile/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-uptrain/Makefile",
"repo_id": "llama_index",
"token_count": 264
} | 1,349 |
# Copyright 2021 AlQuraishi Laboratory
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | transformers/src/transformers/models/esm/openfold_utils/chunk_utils.py/0 | {
"file_path": "transformers/src/transformers/models/esm/openfold_utils/chunk_utils.py",
"repo_id": "transformers",
"token_count": 6590
} | 600 |
# Example Selector Types
| Name | Description |
|------------|---------------------------------------------------------------------------------------------|
| Similarity | Uses semantic similarity between inputs and examples to decid... | langchain/docs/docs/modules/model_io/prompts/example_selector_types/index.mdx/0 | {
"file_path": "langchain/docs/docs/modules/model_io/prompts/example_selector_types/index.mdx",
"repo_id": "langchain",
"token_count": 241
} | 214 |
---
hide_table_of_contents: true
---
# Vector Store
Once you've created a [Vector Store](/docs/modules/data_connection/vectorstores), the way to use it as a Retriever is very simple:
```typescript
vectorStore = ...
retriever = vectorStore.asRetriever()
```
| langchainjs/docs/core_docs/docs/integrations/retrievers/vectorstore.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/retrievers/vectorstore.mdx",
"repo_id": "langchainjs",
"token_count": 85
} | 787 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.jaguar import JaguarVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in JaguarVectorStore.__mro__]
assert VectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/tests/test_vector_stores_jaguar.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/tests/test_vector_stores_jaguar.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,559 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/storage/ThreadPool.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/ThreadPool.cpp",
"repo_id": "milvus",
"token_count": 1353
} | 1,775 |
python_sources()
python_test_utils(
name="test_utils",
dependencies=[
'llama-index-core/tests/indices/vector_store/mock_services.py',
'llama-index-core/tests/mock_utils/mock_predict.py',
'llama-index-core/tests/mock_utils/mock_text_splitter.py',
'llama-index-core/tests/mock_util... | llama_index/llama-index-core/tests/indices/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/BUILD",
"repo_id": "llama_index",
"token_count": 211
} | 1,186 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/exec/expression/TermExpr.cpp/0 | {
"file_path": "milvus/internal/core/src/exec/expression/TermExpr.cpp",
"repo_id": "milvus",
"token_count": 9825
} | 1,869 |
from langchain_community.tools.google_serper.tool import (
GoogleSerperResults,
GoogleSerperRun,
)
__all__ = ["GoogleSerperRun", "GoogleSerperResults"]
| langchain/libs/langchain/langchain/tools/google_serper/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/google_serper/tool.py",
"repo_id": "langchain",
"token_count": 55
} | 562 |
""" CBAM (sort-of) Attention
Experimental impl of CBAM: Convolutional Block Attention Module: https://arxiv.org/abs/1807.06521
WARNING: Results with these attention layers have been mixed. They can significantly reduce performance on
some tasks, especially fine-grained it seems. I may end up removing this impl.
Hack... | pytorch-image-models/timm/layers/cbam.py/0 | {
"file_path": "pytorch-image-models/timm/layers/cbam.py",
"repo_id": "pytorch-image-models",
"token_count": 2016
} | 373 |
import { ChatOpenAI } from "@langchain/openai";
import { ConversationSummaryMemory } from "langchain/memory";
import { LLMChain } from "langchain/chains";
import { PromptTemplate } from "@langchain/core/prompts";
export const run = async () => {
const memory = new ConversationSummaryMemory({
memoryKey: "chat_his... | langchainjs/examples/src/memory/summary_chat.ts/0 | {
"file_path": "langchainjs/examples/src/memory/summary_chat.ts",
"repo_id": "langchainjs",
"token_count": 531
} | 817 |
"""Integration test for JIRA API Wrapper."""
import json
from datetime import datetime
import pytest
from langchain_community.utilities.clickup import ClickupAPIWrapper
@pytest.fixture
def clickup_wrapper() -> ClickupAPIWrapper:
return ClickupAPIWrapper()
def test_init(clickup_wrapper: ClickupAPIWrapper) -> N... | langchain/libs/community/tests/integration_tests/utilities/test_clickup.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/utilities/test_clickup.py",
"repo_id": "langchain",
"token_count": 1041
} | 350 |
import {
APIConnectionTimeoutError,
APIUserAbortError,
type OpenAI as OpenAIClient,
} from "openai";
import { zodToJsonSchema } from "zod-to-json-schema";
import type { StructuredToolInterface } from "@langchain/core/tools";
import {
convertToOpenAIFunction,
convertToOpenAITool,
} from "@langchain/core/utils/... | langchainjs/libs/langchain-openai/src/utils/openai.ts/0 | {
"file_path": "langchainjs/libs/langchain-openai/src/utils/openai.ts",
"repo_id": "langchainjs",
"token_count": 436
} | 1,040 |
# Wide ResNet
**Wide Residual Networks** are a variant on [ResNets](https://paperswithcode.com/method/resnet) where we decrease depth and increase the width of residual networks. This is achieved through the use of [wide residual blocks](https://paperswithcode.com/method/wide-residual-block).
{% include 'code_snippet... | pytorch-image-models/docs/models/.templates/models/wide-resnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/wide-resnet.md",
"repo_id": "pytorch-image-models",
"token_count": 1220
} | 342 |
// 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/metastore/kv/binlog/binlog.go/0 | {
"file_path": "milvus/internal/metastore/kv/binlog/binlog.go",
"repo_id": "milvus",
"token_count": 2154
} | 1,859 |
"""Chain that combines documents by stuffing into context."""
from typing import Any, Dict, List, Optional, Tuple
from langchain_core.callbacks import Callbacks
from langchain_core.documents import Document
from langchain_core.language_models import LanguageModelLike
from langchain_core.output_parsers import BaseOutpu... | langchain/libs/langchain/langchain/chains/combine_documents/stuff.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/combine_documents/stuff.py",
"repo_id": "langchain",
"token_count": 4272
} | 480 |
import { buildPrompt } from "$lib/buildPrompt";
import { authCondition } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { models } from "$lib/server/models";
import { buildSubtree } from "$lib/utils/tree/buildSubtree";
import { isMessageId } from "$lib/utils/tree/isMessageId";
impor... | chat-ui/src/routes/conversation/[id]/message/[messageId]/prompt/+server.ts/0 | {
"file_path": "chat-ui/src/routes/conversation/[id]/message/[messageId]/prompt/+server.ts",
"repo_id": "chat-ui",
"token_count": 601
} | 113 |
from langchain_community.tools.playwright.navigate_back import NavigateBackTool
__all__ = ["NavigateBackTool"]
| langchain/libs/langchain/langchain/tools/playwright/navigate_back.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/playwright/navigate_back.py",
"repo_id": "langchain",
"token_count": 33
} | 554 |
from langchain_community.chat_models.mlflow import ChatMlflow
__all__ = ["ChatMlflow"]
| langchain/libs/langchain/langchain/chat_models/mlflow.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/mlflow.py",
"repo_id": "langchain",
"token_count": 31
} | 475 |
# Postgres Embedding
> [pg_embedding](https://github.com/neondatabase/pg_embedding) is an open-source package for
> vector similarity search using `Postgres` and the `Hierarchical Navigable Small Worlds`
> algorithm for approximate nearest neighbor search.
## Installation and Setup
We need to install several python ... | langchain/docs/docs/integrations/providers/pg_embedding.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/pg_embedding.mdx",
"repo_id": "langchain",
"token_count": 154
} | 156 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/mq/msgstream/msgstream_util_test.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/msgstream_util_test.go",
"repo_id": "milvus",
"token_count": 929
} | 2,044 |
// 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/importv2/task_manager_test.go/0 | {
"file_path": "milvus/internal/datanode/importv2/task_manager_test.go",
"repo_id": "milvus",
"token_count": 889
} | 1,973 |
#!/usr/bin/env python3
import sys
import argparse
from argparse import Namespace
import os, shutil
import getopt
from ruamel.yaml import YAML, yaml_object
from ruamel.yaml.comments import CommentedSeq, CommentedMap
from ruamel.yaml.tokens import CommentToken
yaml = YAML(typ="rt")
## format yaml file
yaml.indent(mappi... | milvus/tests/benchmark/ci/scripts/yaml_processor.py/0 | {
"file_path": "milvus/tests/benchmark/ci/scripts/yaml_processor.py",
"repo_id": "milvus",
"token_count": 6297
} | 1,851 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-packs/llama-index-packs-multi-document-agents/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-document-agents/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,593 |
"""SnscrapeTwitter reader."""
from typing import List
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class SnscrapeTwitterReader(BaseReader):
"""SnscrapeTwitter reader. Reads data from a twitter profile.
Args:
username (str): Twitter Username.
... | llama_index/llama-index-integrations/readers/llama-index-readers-snscrape-twitter/llama_index/readers/snscrape_twitter/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-snscrape-twitter/llama_index/readers/snscrape_twitter/base.py",
"repo_id": "llama_index",
"token_count": 479
} | 1,443 |
from __future__ import annotations
from typing import Any, Dict, Iterator, List, Optional, Tuple
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class SnowflakeLoader(BaseLoader):
"""Load from `Snowflake` API.
Each document represents one row ... | langchain/libs/community/langchain_community/document_loaders/snowflake_loader.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/snowflake_loader.py",
"repo_id": "langchain",
"token_count": 2094
} | 262 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 4911,
"logprob": -6.9804688,
"text": "User"
... | text-generation-inference/integration-tests/models/__snapshots__/test_idefics/test_idefics_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_idefics/test_idefics_load.json",
"repo_id": "text-generation-inference",
"token_count": 9573
} | 378 |
import { LunaryHandler } from "@langchain/community/callbacks/handlers/lunary";
const handler = new LunaryHandler({
appId: "app ID",
// verbose: true,
// apiUrl: 'custom self hosting url'
});
| langchainjs/examples/src/callbacks/lunary_custom_app_id.ts/0 | {
"file_path": "langchainjs/examples/src/callbacks/lunary_custom_app_id.ts",
"repo_id": "langchainjs",
"token_count": 65
} | 797 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors, Allegro.pl and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/li... | transformers/tests/models/herbert/test_tokenization_herbert.py/0 | {
"file_path": "transformers/tests/models/herbert/test_tokenization_herbert.py",
"repo_id": "transformers",
"token_count": 2164
} | 730 |
<jupyter_start><jupyter_text>BatchEvalRunner - Running Multiple EvaluationsThe `BatchEvalRunner` class can be used to run a series of evaluations asynchronously. The async jobs are limited to a defined size of `num_workers`. Setup<jupyter_code>%pip install llama-index-llms-openai
# attach to the same event-loop
import ... | llama_index/docs/examples/evaluation/batch_eval.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/batch_eval.ipynb",
"repo_id": "llama_index",
"token_count": 1545
} | 1,103 |
"""Interfaces to be implemented by general evaluators."""
from __future__ import annotations
import logging
from abc import ABC, abstractmethod
from enum import Enum
from typing import Any, Optional, Sequence, Tuple, Union
from warnings import warn
from langchain_core.agents import AgentAction
from langchain_core.lan... | langchain/libs/langchain/langchain/evaluation/schema.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/schema.py",
"repo_id": "langchain",
"token_count": 7203
} | 508 |
# def pull_image(image):
# registry = image.split(":")[0]
# image_tag = image.split(":")[1]
# client = docker.APIClient(base_url='unix://var/run/docker.sock')
# logger.info("Start pulling image: %s" % image)
# return client.pull(registry, image_tag)
# def run_server(image, mem_limit=None, timeout=... | milvus/tests/benchmark/milvus_benchmark/runners/docker_utils.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/runners/docker_utils.py",
"repo_id": "milvus",
"token_count": 2172
} | 1,960 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/univnet/configuration_univnet.py/0 | {
"file_path": "transformers/src/transformers/models/univnet/configuration_univnet.py",
"repo_id": "transformers",
"token_count": 2525
} | 679 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-jaguar/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,658 |
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { Tool } from "@langchain/core/tools";
/**
* Interface for parameters required by GooglePlacesAPI class.
*/
export interface GooglePlacesAPIParams {
apiKey?: string;
}
/**
* Tool that queries the Google Places API
*/
export class GoogleP... | langchainjs/libs/langchain-community/src/tools/google_places.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/google_places.ts",
"repo_id": "langchainjs",
"token_count": 1072
} | 987 |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, Union
from langchain_core.load.serializable import Serializable
from langchain_core.pydantic_v1 import Extra, Field
from langchain_core.utils import get_bolded_text
from langchain_core.utils.interactive_env impor... | langchain/libs/core/langchain_core/messages/base.py/0 | {
"file_path": "langchain/libs/core/langchain_core/messages/base.py",
"repo_id": "langchain",
"token_count": 3240
} | 424 |
<!---
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 applicable law or ... | transformers/examples/pytorch/translation/README.md/0 | {
"file_path": "transformers/examples/pytorch/translation/README.md",
"repo_id": "transformers",
"token_count": 2710
} | 566 |
---
sidebar_position: 0
---
# Quick Start
Chat models are a variation on language models.
While chat models use language models under the hood, the interface they use is a bit different.
Rather than using a "text in, text out" API, they use an interface where "chat messages" are the inputs and outputs.
## Setup
imp... | langchainjs/docs/core_docs/docs/modules/model_io/chat/quick_start.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/chat/quick_start.mdx",
"repo_id": "langchainjs",
"token_count": 1819
} | 736 |
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