text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
[defaults]
host_key_checking = False
inventory = inventory.ini
private_key_file=~/.ssh/id_ed25519
| milvus/deployments/docker/cluster-distributed-deployment/ansible.cfg/0 | {
"file_path": "milvus/deployments/docker/cluster-distributed-deployment/ansible.cfg",
"repo_id": "milvus",
"token_count": 34
} | 1,623 |
import { CallbackManagerForToolRun } from "@langchain/core/callbacks/manager";
import { GoogleCalendarBase, GoogleCalendarAgentParams } from "./base.js";
import { VIEW_TOOL_DESCRIPTION } from "./descriptions.js";
import { runViewEvents } from "./commands/run-view-events.js";
/**
* @example
* ```typescript
* const ... | langchainjs/libs/langchain-community/src/tools/google_calendar/view.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/google_calendar/view.ts",
"repo_id": "langchainjs",
"token_count": 513
} | 1,016 |
import os
import sys
import pytest
from llama_index.core.evaluation.eval_utils import upload_eval_dataset
from llama_index_client.client import PlatformApi
base_url = os.environ.get("LLAMA_CLOUD_BASE_URL", None)
api_key = os.environ.get("LLAMA_CLOUD_API_KEY", None)
python_version = sys.version
@pytest.mark.skipif(
... | llama_index/llama-index-core/tests/evaluation/test_platform_eval.py/0 | {
"file_path": "llama_index/llama-index-core/tests/evaluation/test_platform_eval.py",
"repo_id": "llama_index",
"token_count": 399
} | 1,217 |
# 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/examples/by_feature/automatic_gradient_accumulation.py/0 | {
"file_path": "accelerate/examples/by_feature/automatic_gradient_accumulation.py",
"repo_id": "accelerate",
"token_count": 3689
} | 7 |
import { ChatOpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
const controller = new AbortController();
// Create a new LLMChain from a PromptTemplate and an LLM in streaming mode.
const llm = new ChatOpenAI({ temperature: 0.9 });
const model = llm.bind({ signal: controller... | langchainjs/examples/src/guides/expression_language/how_to_cancellation.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/how_to_cancellation.ts",
"repo_id": "langchainjs",
"token_count": 253
} | 806 |
import unittest
from collections import namedtuple
from typing import Any, Optional
from unittest.mock import patch
import pytest
from langchain_community.document_loaders.trello import TrelloLoader
def list_to_objects(dict_list: list) -> list:
"""Helper to convert dict objects."""
return [
namedtup... | langchain/libs/community/tests/unit_tests/document_loaders/test_trello.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_trello.py",
"repo_id": "langchain",
"token_count": 5641
} | 373 |
"""Discord reader.
Note: this file is named discord_reader.py to avoid conflicts with the
discord.py module.
"""
import asyncio
import logging
import os
from typing import List, Optional
from llama_index.legacy.readers.base import BasePydanticReader
from llama_index.legacy.schema import Document
logger = logging.g... | llama_index/llama-index-legacy/llama_index/legacy/readers/discord_reader.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/discord_reader.py",
"repo_id": "llama_index",
"token_count": 2531
} | 1,605 |
"""Test struct store indices."""
from typing import Any, Dict, List, Tuple
from llama_index.legacy.indices.list.base import SummaryIndex
from llama_index.legacy.indices.struct_store.sql import (
SQLContextContainerBuilder,
SQLStructStoreIndex,
)
from llama_index.legacy.indices.struct_store.sql_query import (
... | llama_index/llama-index-legacy/tests/indices/struct_store/test_base.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/struct_store/test_base.py",
"repo_id": "llama_index",
"token_count": 4675
} | 1,634 |
# coding=utf-8
# Copyright 2023 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/src/transformers/models/resnet/modeling_flax_resnet.py/0 | {
"file_path": "transformers/src/transformers/models/resnet/modeling_flax_resnet.py",
"repo_id": "transformers",
"token_count": 10373
} | 688 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-huggingface-optimum/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,185 |
# Copyright 2024 Salesforce.com, inc.
# 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/LICENS... | diffusers/src/diffusers/pipelines/blip_diffusion/modeling_ctx_clip.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/blip_diffusion/modeling_ctx_clip.py",
"repo_id": "diffusers",
"token_count": 3809
} | 248 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,494 |
"""Firestore Reader."""
from typing import Any, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
DEFAULT_FIRESTORE_DATABASE = "(default)"
USER_AGENT = "LlamaHub"
IMPORT_ERROR_MSG = (
"`firestore` package not found, please run `pip3 install google-cl... | llama_index/llama-index-integrations/readers/llama-index-readers-firestore/llama_index/readers/firestore/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-firestore/llama_index/readers/firestore/base.py",
"repo_id": "llama_index",
"token_count": 1239
} | 1,300 |
<jupyter_start><jupyter_text>LM Format Enforcer[LM Format Enforcer](https://github.com/noamgat/lm-format-enforcer) is a library that enforces the output format of language models by filtering tokens.It works by combining a character level parser with a tokenizer prefix tree to allow only the tokens which contains seque... | langchain/docs/docs/integrations/llms/lmformatenforcer_experimental.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/lmformatenforcer_experimental.ipynb",
"repo_id": "langchain",
"token_count": 2295
} | 120 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/flat/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/flat/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,400 |
package notification
import (
"context"
"reflect"
"testing"
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel/mocks"
"github.com/chroma/chroma-coordinator/internal/model"
"github.com/stretchr/testify/mock"
)
func TestDataba... | chroma/go/coordinator/internal/notification/database_notification_store_test.go/0 | {
"file_path": "chroma/go/coordinator/internal/notification/database_notification_store_test.go",
"repo_id": "chroma",
"token_count": 2402
} | 49 |
import inspect
from copy import deepcopy
from functools import update_wrapper
from types import MethodType
from .peft_model import PeftModel
def update_forward_signature(model: PeftModel) -> None:
"""
Args:
Updates the forward signature of the PeftModel to include parents class signature
model (`... | peft/src/peft/helpers.py/0 | {
"file_path": "peft/src/peft/helpers.py",
"repo_id": "peft",
"token_count": 1690
} | 343 |
// 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/storage/ThreadPools.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/ThreadPools.cpp",
"repo_id": "milvus",
"token_count": 701
} | 1,745 |
README.Debian
README.source
| milvus/build/deb/debian/milvus-docs.docs/0 | {
"file_path": "milvus/build/deb/debian/milvus-docs.docs",
"repo_id": "milvus",
"token_count": 11
} | 1,887 |
<jupyter_start><jupyter_text>Docs | GitHub | Community TruLens-Eval LlamaPackTruLens provides three Llamma Packs for LLM app observability:- The first is the **RAG Triad Pack** (context relevance, groundedness, answer relevance). This triad holds the key to detecting hallucination.- Secon... | llama_index/llama-index-packs/llama-index-packs-trulens-eval-packs/examples/trulens_eval_llama_packs.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-trulens-eval-packs/examples/trulens_eval_llama_packs.ipynb",
"repo_id": "llama_index",
"token_count": 1788
} | 1,682 |
import * as uuid from "uuid";
import { BaseRun, KVMap, RunCreate, RunUpdate } from "./schemas.js";
import { getEnvironmentVariable, getRuntimeEnvironment } from "./utils/env.js";
import { Client } from "./client.js";
const warnedMessages: Record<string, boolean> = {};
function warnOnce(message: string): void {
if (... | langsmith-sdk/js/src/run_trees.ts/0 | {
"file_path": "langsmith-sdk/js/src/run_trees.ts",
"repo_id": "langsmith-sdk",
"token_count": 2313
} | 1,146 |
import json
from typing import Any
import requests
from bs4 import BeautifulSoup
from langchain.retrievers.tavily_search_api import TavilySearchAPIRetriever
from langchain_community.chat_models import ChatOpenAI
from langchain_community.utilities import DuckDuckGoSearchAPIWrapper
from langchain_core.messages import Sy... | langchain/templates/research-assistant/research_assistant/search/web.py/0 | {
"file_path": "langchain/templates/research-assistant/research_assistant/search/web.py",
"repo_id": "langchain",
"token_count": 2237
} | 727 |
# Fine-tuning
## Overview
Finetuning a model means updating the model itself over a set of data to improve the model in a variety of ways. This can include improving the quality of outputs, reducing hallucinations, memorizing more data holistically, and reducing latency/cost.
The core of our toolkit revolves around ... | llama_index/docs/optimizing/fine-tuning/fine-tuning.md/0 | {
"file_path": "llama_index/docs/optimizing/fine-tuning/fine-tuning.md",
"repo_id": "llama_index",
"token_count": 2604
} | 1,185 |
"""Tree-based index."""
from enum import Enum
from typing import Any, Dict, Optional, Sequence, Union
from llama_index.legacy.core.base_retriever import BaseRetriever
# from llama_index.legacy.data_structs.data_structs import IndexGraph
from llama_index.legacy.data_structs.data_structs import IndexGraph
from llama_i... | llama_index/llama-index-legacy/llama_index/legacy/indices/tree/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/tree/base.py",
"repo_id": "llama_index",
"token_count": 2999
} | 1,606 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/data_structs/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/data_structs/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,586 |
import { Document } from "@langchain/core/documents";
import { BaseDocumentLoader } from "../base.js";
import { formatDocumentsAsString } from "../../util/document.js";
/**
* A document loader for loading data from PDFs.
* @example
* ```typescript
* const loader = new WebPDFLoader(new Blob());
* const docs = awai... | langchainjs/langchain/src/document_loaders/web/pdf.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/web/pdf.ts",
"repo_id": "langchainjs",
"token_count": 1519
} | 912 |
from langchain_community.vectorstores.docarray.base import (
DocArrayIndex,
)
__all__ = ["DocArrayIndex"]
| langchain/libs/langchain/langchain/vectorstores/docarray/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/docarray/base.py",
"repo_id": "langchain",
"token_count": 37
} | 581 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/kvstore/llama-index-storage-kvstore-firestore/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,467 |
package utils
import (
"io"
"github.com/rs/zerolog/log"
)
func RunProcess(startProcess func() (io.Closer, error)) {
process, err := startProcess()
if err != nil {
log.Fatal().Err(err).
Msg("Failed to start the process")
}
WaitUntilSignal(
process,
)
}
| chroma/go/coordinator/internal/utils/run.go/0 | {
"file_path": "chroma/go/coordinator/internal/utils/run.go",
"repo_id": "chroma",
"token_count": 110
} | 52 |
// 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/condition_test.go/0 | {
"file_path": "milvus/internal/proxy/condition_test.go",
"repo_id": "milvus",
"token_count": 1066
} | 1,843 |
use crate::decoders::DecoderWrapper;
use crate::tokenizer::{Decoder, Result};
use crate::utils::macro_rules_attribute;
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug)]
#[macro_rules_attribute(impl_serde_type!)]
pub struct Sequence {
decoders: Vec<DecoderWrapper>,
}
impl Sequence {
pub fn new(decod... | tokenizers/tokenizers/src/decoders/sequence.rs/0 | {
"file_path": "tokenizers/tokenizers/src/decoders/sequence.rs",
"repo_id": "tokenizers",
"token_count": 600
} | 417 |
<jupyter_start><jupyter_code>!wget https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-vocab.txt -O /tmp/bert-base-uncased-vocab.txt
from tokenizers import BertWordPieceTokenizer
from tokenizers.tools import EncodingVisualizer
EncodingVisualizer.unk_token_regex.search("aaa[udsnk]aaa")
text = """Mathi... | tokenizers/bindings/python/examples/using_the_visualizer.ipynb/0 | {
"file_path": "tokenizers/bindings/python/examples/using_the_visualizer.ipynb",
"repo_id": "tokenizers",
"token_count": 1221
} | 420 |
# coding=utf-8
# Copyright 2024 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... | diffusers/utils/check_doc_toc.py/0 | {
"file_path": "diffusers/utils/check_doc_toc.py",
"repo_id": "diffusers",
"token_count": 2177
} | 283 |
python_sources()
| llama_index/llama-index-core/tests/agent/openai/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/agent/openai/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,147 |
"""Chain for interacting with SQL Database."""
from langchain_experimental.sql.base import SQLDatabaseChain, SQLDatabaseSequentialChain
__all__ = ["SQLDatabaseChain", "SQLDatabaseSequentialChain"]
| langchain/libs/experimental/langchain_experimental/sql/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/sql/__init__.py",
"repo_id": "langchain",
"token_count": 49
} | 437 |
#!/usr/bin/env python3
""" ImageNet Validation Script
This is intended to be a lean and easily modifiable ImageNet validation script for evaluating pretrained
models or training checkpoints against ImageNet or similarly organized image datasets. It prioritizes
canonical PyTorch, standard Python style, and good perform... | pytorch-image-models/validate.py/0 | {
"file_path": "pytorch-image-models/validate.py",
"repo_id": "pytorch-image-models",
"token_count": 9310
} | 415 |
#!/usr/bin/env python
# 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/L... | transformers/src/transformers/tools/text_summarization.py/0 | {
"file_path": "transformers/src/transformers/tools/text_summarization.py",
"repo_id": "transformers",
"token_count": 560
} | 784 |
# coding=utf-8
# Copyright 2024 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/siglip/test_modeling_siglip.py/0 | {
"file_path": "transformers/tests/models/siglip/test_modeling_siglip.py",
"repo_id": "transformers",
"token_count": 11438
} | 823 |
# Simple Milvus systemd service file
#
# systemd supports lots of fancy features, look here (and linked docs) for a full list:
# http://www.freedesktop.org/software/systemd/man/systemd.exec.html
#
# Note: this file ( /usr/lib/systemd/system/milvus.service )
# will be overwritten on package upgrade, please copy the fi... | milvus/build/rpm/services/milvus.service/0 | {
"file_path": "milvus/build/rpm/services/milvus.service",
"repo_id": "milvus",
"token_count": 319
} | 1,716 |
// 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/rootcoord/drop_collection_task.go/0 | {
"file_path": "milvus/internal/rootcoord/drop_collection_task.go",
"repo_id": "milvus",
"token_count": 1522
} | 2,001 |
from typing import Callable, Dict, Optional
from pydantic import BaseModel
from langsmith.evaluation.evaluator import EvaluationResult, RunEvaluator
from langsmith.schemas import Example, Run
class StringEvaluator(RunEvaluator, BaseModel):
"""Grades the run's string input, output, and optional answer."""
e... | langsmith-sdk/python/langsmith/evaluation/string_evaluator.py/0 | {
"file_path": "langsmith-sdk/python/langsmith/evaluation/string_evaluator.py",
"repo_id": "langsmith-sdk",
"token_count": 535
} | 1,071 |
insert_performance:
collections:
-
milvus:
cache_config.cpu_cache_capacity: 8GB
engine_config.use_blas_threshold: 1100
gpu_resource_config.enable: false
gpu_resource_config.cache_capacity: 4GB
gpu_resource_config.search_resources:
- gpu0
gpu_resource... | milvus/tests/benchmark/milvus_benchmark/suites/011_insert_performance.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_insert_performance.yaml",
"repo_id": "milvus",
"token_count": 1657
} | 2,089 |
from llama_index.embeddings.anyscale.base import AnyscaleEmbedding
__all__ = ["AnyscaleEmbedding"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/llama_index/embeddings/anyscale/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/llama_index/embeddings/anyscale/__init__.py",
"repo_id": "llama_index",
"token_count": 37
} | 1,174 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/segments/manager.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/manager.go",
"repo_id": "milvus",
"token_count": 5032
} | 1,874 |
from langchain_community.utilities.openweathermap import OpenWeatherMapAPIWrapper
__all__ = ["OpenWeatherMapAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/openweathermap.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/openweathermap.py",
"repo_id": "langchain",
"token_count": 34
} | 564 |
import type { BaseRetrieverInterface } from "@langchain/core/retrievers";
import { z } from "zod";
import { CallbackManagerForToolRun } from "@langchain/core/callbacks/manager";
import {
DynamicStructuredTool,
DynamicStructuredToolInput,
} from "@langchain/core/tools";
import { formatDocumentsAsString } from "../..... | langchainjs/langchain/src/agents/toolkits/conversational_retrieval/tool.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/toolkits/conversational_retrieval/tool.ts",
"repo_id": "langchainjs",
"token_count": 331
} | 919 |
import pytest
from typing import List, cast
from chromadb.api.types import EmbeddingFunction, Documents, Image, Document, Embeddings
import numpy as np
def random_embeddings() -> Embeddings:
return cast(Embeddings, np.random.random(size=(10, 10)).tolist())
def random_image() -> Image:
return np.random.randi... | chroma/chromadb/test/api/test_types.py/0 | {
"file_path": "chroma/chromadb/test/api/test_types.py",
"repo_id": "chroma",
"token_count": 455
} | 20 |
Condense Plus Context Chat Engine
=======================
.. automodule:: llama_index.core.chat_engine.condense_plus_context
:members:
:inherited-members:
.. :exclude-members: index_struct, query, set_llm_predictor, set_prompt_helper
| llama_index/docs/api_reference/query/chat_engines/condense_plus_context_chat_engine.rst/0 | {
"file_path": "llama_index/docs/api_reference/query/chat_engines/condense_plus_context_chat_engine.rst",
"repo_id": "llama_index",
"token_count": 84
} | 1,037 |
from langchain_core.messages import AIMessage, ToolMessage
from langchain.agents.format_scratchpad.openai_tools import (
format_to_openai_tool_messages,
)
from langchain.agents.output_parsers.openai_tools import (
parse_ai_message_to_openai_tool_action,
)
def test_calls_convert_agent_action_to_messages() -> ... | langchain/libs/langchain/tests/unit_tests/agents/format_scratchpad/test_openai_tools.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/format_scratchpad/test_openai_tools.py",
"repo_id": "langchain",
"token_count": 1483
} | 645 |
from langchain_community.utilities.google_lens import GoogleLensAPIWrapper
__all__ = ["GoogleLensAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/google_lens.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/google_lens.py",
"repo_id": "langchain",
"token_count": 33
} | 565 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE... | transformers/examples/tensorflow/summarization/run_summarization.py/0 | {
"file_path": "transformers/examples/tensorflow/summarization/run_summarization.py",
"repo_id": "transformers",
"token_count": 13841
} | 610 |
use worker::worker_entrypoint;
#[tokio::main]
async fn main() {
worker_entrypoint().await;
}
| chroma/rust/worker/src/bin/worker.rs/0 | {
"file_path": "chroma/rust/worker/src/bin/worker.rs",
"repo_id": "chroma",
"token_count": 40
} | 56 |
#!/bin/bash
# Exit immediately for non zero status
set -e
ns_name=$1
instance_name=$2
log_dir=${3:-"k8s_logs"}
#show proxy pod log
array=($(kubectl get pod -n ${ns_name} -l "component=proxy, app.kubernetes.io/instance=${instance_name}"| awk 'NR == 1 {next} {print $1}'))
echo ${array[@]}
for pod in ${array[*]}
do
ec... | milvus/tests/scripts/export_log_k8s.sh/0 | {
"file_path": "milvus/tests/scripts/export_log_k8s.sh",
"repo_id": "milvus",
"token_count": 1010
} | 2,012 |
from collections import deque
from itertools import islice
from typing import (
Any,
ContextManager,
Deque,
Generator,
Generic,
Iterable,
Iterator,
List,
Optional,
Tuple,
TypeVar,
Union,
overload,
)
from typing_extensions import Literal
T = TypeVar("T")
class NoLo... | langchain/libs/core/langchain_core/utils/iter.py/0 | {
"file_path": "langchain/libs/core/langchain_core/utils/iter.py",
"repo_id": "langchain",
"token_count": 2475
} | 400 |
<jupyter_start><jupyter_text>NLP Cloud>[NLP Cloud](https://docs.nlpcloud.com/introduction) is an artificial intelligence platform that allows you to use the most advanced AI engines, and even train your own engines with your own data. The [embeddings](https://docs.nlpcloud.com/embeddings) endpoint offers the following ... | langchain/docs/docs/integrations/text_embedding/nlp_cloud.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/nlp_cloud.ipynb",
"repo_id": "langchain",
"token_count": 284
} | 171 |
import asyncio
import math
import time
from concurrent.futures import ThreadPoolExecutor
from typing import AsyncIterator
from langchain_core.tracers.memory_stream import _MemoryStream
async def test_same_event_loop() -> None:
"""Test that the memory stream works when the same event loop is used.
This is th... | langchain/libs/core/tests/unit_tests/tracers/test_memory_stream.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/tracers/test_memory_stream.py",
"repo_id": "langchain",
"token_count": 1753
} | 409 |
"""Util that calls Google Search using the Serper.dev API."""
from typing import Any, Dict, List, Optional
import aiohttp
import requests
from langchain_core.pydantic_v1 import BaseModel, root_validator
from langchain_core.utils import get_from_dict_or_env
from typing_extensions import Literal
class GoogleSerperAPIW... | langchain/libs/community/langchain_community/utilities/google_serper.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/google_serper.py",
"repo_id": "langchain",
"token_count": 3022
} | 316 |
"""**Graphs** provide a natural language interface to graph databases."""
import warnings
from typing import Any
from langchain_core._api import LangChainDeprecationWarning
from langchain.utils.interactive_env import is_interactive_env
def __getattr__(name: str) -> Any:
from langchain_community import graphs
... | langchain/libs/langchain/langchain/graphs/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/graphs/__init__.py",
"repo_id": "langchain",
"token_count": 424
} | 514 |
<jupyter_start><jupyter_text>Traduction (PyTorch) Installez les bibliothèques 🤗 *Datasets* et 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!pip install accelerate
# Pour exécuter l'entraînement sur TPU, vous devez décommenter la ligne suivante :
# !pip i... | notebooks/course/fr/chapter7/section4_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter7/section4_pt.ipynb",
"repo_id": "notebooks",
"token_count": 3791
} | 302 |
<jupyter_start><jupyter_text>Human in the LoopIn this notebook we will go over how to add a human-in-the-loop workflow to the base agent executor. We will use the human to approveThis examples builds off the base agent executor. It is highly recommended you learn about that executor before going through this notebook. ... | langgraph/examples/agent_executor/human-in-the-loop.ipynb/0 | {
"file_path": "langgraph/examples/agent_executor/human-in-the-loop.ipynb",
"repo_id": "langgraph",
"token_count": 2541
} | 1,073 |
"""Output parsers."""
from llama_index.core.output_parsers.base import ChainableOutputParser
from llama_index.core.output_parsers.langchain import LangchainOutputParser
from llama_index.core.output_parsers.pydantic import PydanticOutputParser
from llama_index.core.output_parsers.selection import SelectionOutputParser
... | llama_index/llama-index-core/llama_index/core/output_parsers/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/output_parsers/__init__.py",
"repo_id": "llama_index",
"token_count": 146
} | 1,234 |
# coding=utf-8
# Copyright 2018 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 a... | transformers/examples/pytorch/old_test_xla_examples.py/0 | {
"file_path": "transformers/examples/pytorch/old_test_xla_examples.py",
"repo_id": "transformers",
"token_count": 1245
} | 531 |
# 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/tests/models/opt/test_modeling_flax_opt.py/0 | {
"file_path": "transformers/tests/models/opt/test_modeling_flax_opt.py",
"repo_id": "transformers",
"token_count": 7181
} | 816 |
<!--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 agreed... | transformers/docs/source/en/custom_models.md/0 | {
"file_path": "transformers/docs/source/en/custom_models.md",
"repo_id": "transformers",
"token_count": 4867
} | 446 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-cogniswitch-agent/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-cogniswitch-agent/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,648 |
package syncmgr
import (
"testing"
"time"
"github.com/stretchr/testify/suite"
"go.uber.org/atomic"
)
/*
type mockTask struct {
targetID int64
ch chan struct{}
err error
}
func (t *mockTask) done() {
close(t.ch)
}
func (t *mockTask) CalcTargetSegment() (int64, error) {
return t.targetID, t.err
}... | milvus/internal/datanode/syncmgr/key_lock_dispatcher_test.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/key_lock_dispatcher_test.go",
"repo_id": "milvus",
"token_count": 873
} | 1,701 |
import CodeBlock from "@theme/CodeBlock";
# Custom list parser
This output parser can be used when you want to return a list of items with a specific length and separator.
import CustomList from "@examples/prompts/custom_list_parser_sequence.ts";
import IntegrationInstallTooltip from "@mdx_components/integration_in... | langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/custom_list_parser.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/custom_list_parser.mdx",
"repo_id": "langchainjs",
"token_count": 148
} | 738 |
from neo4j_parent.chain import chain
__all__ = ["chain"]
| langchain/templates/neo4j-parent/neo4j_parent/__init__.py/0 | {
"file_path": "langchain/templates/neo4j-parent/neo4j_parent/__init__.py",
"repo_id": "langchain",
"token_count": 20
} | 676 |
from langchain.prompts.chat import __all__
EXPECTED_ALL = [
"MessageLike",
"MessageLikeRepresentation",
"MessagePromptTemplateT",
"AIMessagePromptTemplate",
"BaseChatPromptTemplate",
"BaseMessagePromptTemplate",
"BaseStringMessagePromptTemplate",
"ChatMessagePromptTemplate",
"ChatPr... | langchain/libs/langchain/tests/unit_tests/prompts/test_chat.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/prompts/test_chat.py",
"repo_id": "langchain",
"token_count": 235
} | 635 |
import { ChatOpenAI } from "@langchain/openai";
import { HumanMessage } from "@langchain/core/messages";
const model = new ChatOpenAI({
temperature: 0.9,
openAIApiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.OPENAI_API_KEY
});
// You can also pass tools or functions to the model, learn more here
// ... | langchainjs/examples/src/models/chat/integration_openai.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_openai.ts",
"repo_id": "langchainjs",
"token_count": 819
} | 832 |
use crate::WithDType;
use cudarc;
use cudarc::cudnn::safe::{Conv2dForward, Cudnn};
use cudarc::driver::{CudaSlice, CudaView, DeviceRepr, ValidAsZeroBits};
use std::cell::RefCell;
use std::collections::HashMap;
use std::sync::Arc;
// The cudnn handles are stored per thread here rather than on the CudaDevice as they are... | candle/candle-core/src/cudnn.rs/0 | {
"file_path": "candle/candle-core/src/cudnn.rs",
"repo_id": "candle",
"token_count": 2214
} | 35 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-fusion-retriever/examples/query_rewrite/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-fusion-retriever/examples/query_rewrite/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,701 |
/* eslint-disable import/first */
import { z } from "zod";
import { DynamicStructuredTool } from "@langchain/core/tools";
const complexTool = new DynamicStructuredTool({
name: "complex_tool",
description: "Do something complex with a complex tool.",
schema: z.object({
intArg: z.number(),
floatArg2: z.num... | langchainjs/examples/src/use_cases/tool_use/tool_error_handling_fallbacks.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/tool_use/tool_error_handling_fallbacks.ts",
"repo_id": "langchainjs",
"token_count": 668
} | 891 |
import { ScrollArea, Select, Slider, Stack, Text } from "@mantine/core";
import React from "react";
import { Form } from "../utils/types";
import { Controller, useForm } from "react-hook-form";
const Sidebar = ({ form }: { form: Form }) => {
const { control, setValue } = form;
return (
<>
<ScrollArea sc... | auto-evaluator/nextjs/components/Sidebar.tsx/0 | {
"file_path": "auto-evaluator/nextjs/components/Sidebar.tsx",
"repo_id": "auto-evaluator",
"token_count": 4828
} | 1 |
from __future__ import annotations
import uuid
import warnings
from typing import (
TYPE_CHECKING,
Any,
Dict,
Iterable,
List,
Mapping,
Optional,
Tuple,
Union,
)
from langchain_core._api import deprecated
from langchain_core.documents import Document
from langchain_core.embeddings i... | langchain/libs/community/langchain_community/vectorstores/elastic_vector_search.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/elastic_vector_search.py",
"repo_id": "langchain",
"token_count": 12739
} | 336 |
<jupyter_start><jupyter_text>Connect to templateIn `server.py`, set -```add_routes(app, chain_ext, path="/rag_pinecone")```<jupyter_code>from langserve.client import RemoteRunnable
rag_app_pinecone = RemoteRunnable("http://0.0.0.0:8001/rag_pinecone")
rag_app_pinecone.invoke("How does agent memory work?")<jupyter_outpu... | langchain/templates/rag-pinecone/rag_pinecone.ipynb/0 | {
"file_path": "langchain/templates/rag-pinecone/rag_pinecone.ipynb",
"repo_id": "langchain",
"token_count": 129
} | 669 |
// A segment ingestor is a component that ingests embeddings into a segment
// Its designed to consume from a async_channel that guarantees exclusive consumption
// They are spawned onto a dedicated thread runtime since ingesting is cpu bound
use async_trait::async_trait;
use std::{fmt::Debug, sync::Arc};
use crate::... | chroma/rust/worker/src/segment/segment_ingestor.rs/0 | {
"file_path": "chroma/rust/worker/src/segment/segment_ingestor.rs",
"repo_id": "chroma",
"token_count": 500
} | 57 |
# python-lint
This agent specializes in generating high-quality Python code with a focus on proper formatting and linting. It uses `black`, `ruff`, and `mypy` to ensure the code meets standard quality checks.
This streamlines the coding process by integrating and responding to these checks, resulting in reliable and ... | langchain/templates/python-lint/README.md/0 | {
"file_path": "langchain/templates/python-lint/README.md",
"repo_id": "langchain",
"token_count": 708
} | 710 |
// 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/rootcoord/step_test.go/0 | {
"file_path": "milvus/internal/rootcoord/step_test.go",
"repo_id": "milvus",
"token_count": 1160
} | 1,857 |
# MnasNet
**MnasNet** is a type of convolutional neural network optimized for mobile devices that is discovered through mobile neural architecture search, which explicitly incorporates model latency into the main objective so that the search can identify a model that achieves a good trade-off between accuracy and late... | pytorch-image-models/hfdocs/source/models/mnasnet.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/mnasnet.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2101
} | 379 |
# Copyright 2024 TSAIL Team and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | diffusers/src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py",
"repo_id": "diffusers",
"token_count": 20646
} | 276 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "stores/message/ioredis",
});
export * from "@langchain/community/stores/message/ioredis";
| langchainjs/langchain/src/stores/message/ioredis.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/message/ioredis.ts",
"repo_id": "langchainjs",
"token_count": 77
} | 969 |
from elastic_query_generator.chain import chain
if __name__ == "__main__":
print(chain.invoke({"input": "how many customers named Carol"})) # noqa: T201
| langchain/templates/elastic-query-generator/main.py/0 | {
"file_path": "langchain/templates/elastic-query-generator/main.py",
"repo_id": "langchain",
"token_count": 52
} | 642 |
# langchain-nomic
This package contains the LangChain integration with Nomic
## Installation
```bash
pip install -U langchain-nomic
```
And you should configure credentials by setting the following environment variables:
* `NOMIC_API_KEY`: your nomic API key
## Embeddings
`NomicEmbeddings` class exposes embeddin... | langchain/libs/partners/nomic/README.md/0 | {
"file_path": "langchain/libs/partners/nomic/README.md",
"repo_id": "langchain",
"token_count": 144
} | 649 |
"""Retriever wrapper for Google Cloud Document AI Warehouse."""
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import root_validator
from langchain_core.retriev... | langchain/libs/community/langchain_community/retrievers/google_cloud_documentai_warehouse.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/google_cloud_documentai_warehouse.py",
"repo_id": "langchain",
"token_count": 1847
} | 286 |
<jupyter_start><jupyter_text>SingleStoreDBThis notebook goes over how to use SingleStoreDB to store chat message history.<jupyter_code>from langchain.memory import SingleStoreDBChatMessageHistory
history = SingleStoreDBChatMessageHistory(
session_id="foo", host="root:pass@localhost:3306/db"
)
history.add_user_mes... | langchain/docs/docs/integrations/memory/singlestoredb_chat_message_history.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/singlestoredb_chat_message_history.ipynb",
"repo_id": "langchain",
"token_count": 134
} | 125 |
<jupyter_start><jupyter_text>Unstructured FileThis notebook covers how to use `Unstructured` package to load files of many types. `Unstructured` currently supports loading of text files, powerpoints, html, pdfs, images, and more.<jupyter_code># # Install package
%pip install --upgrade --quiet "unstructured[all-docs]"
... | langchain/docs/docs/integrations/document_loaders/unstructured_file.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/unstructured_file.ipynb",
"repo_id": "langchain",
"token_count": 1545
} | 108 |
import hashlib
from typing import List
import numpy as np
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import BaseModel
class FakeEmbeddings(Embeddings, BaseModel):
"""Fake embedding model."""
size: int
"""The size of the embedding vector."""
def _get_embedding(s... | langchain/libs/community/langchain_community/embeddings/fake.py/0 | {
"file_path": "langchain/libs/community/langchain_community/embeddings/fake.py",
"repo_id": "langchain",
"token_count": 568
} | 267 |
// 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/Promise.h/0 | {
"file_path": "milvus/internal/core/src/common/Promise.h",
"repo_id": "milvus",
"token_count": 870
} | 1,919 |
src/load/import_type.ts | langchainjs/langchain-core/.prettierignore/0 | {
"file_path": "langchainjs/langchain-core/.prettierignore",
"repo_id": "langchainjs",
"token_count": 9
} | 892 |
# LlamaIndex Tools Integration: Google
| llama_index/llama-index-integrations/tools/llama-index-tools-google/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-google/README.md",
"repo_id": "llama_index",
"token_count": 9
} | 1,620 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.vllm import Vllm
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in Vllm.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-vllm/tests/test_llms_vllm.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-vllm/tests/test_llms_vllm.py",
"repo_id": "llama_index",
"token_count": 94
} | 1,284 |
import pytest
from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs
@pytest.mark.parametrize(
"kwargs, expected",
[
({"num_shards": 0, "max_num_jobs": 1}, []),
({"num_shards": 10, "max_num_jobs": 1}, [range(10)]),
({"num_shards": 10... | datasets/tests/test_sharding_utils.py/0 | {
"file_path": "datasets/tests/test_sharding_utils.py",
"repo_id": "datasets",
"token_count": 977
} | 146 |
"""Tests for the Playwright URL loader"""
from typing import TYPE_CHECKING
from langchain_community.document_loaders import PlaywrightURLLoader
from langchain_community.document_loaders.url_playwright import PlaywrightEvaluator
if TYPE_CHECKING:
from playwright.async_api import Browser as AsyncBrowser
from pl... | langchain/libs/community/tests/integration_tests/document_loaders/test_url_playwright.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_url_playwright.py",
"repo_id": "langchain",
"token_count": 1141
} | 328 |
package segments
/*
#cgo pkg-config: milvus_segcore milvus_common
#include "segcore/collection_c.h"
#include "segcore/segment_c.h"
#include "segcore/segcore_init_c.h"
#include "common/init_c.h"
*/
import "C"
import (
"bytes"
"context"
"encoding/binary"
"fmt"
"io"
"strconv"
"github.com/golang/protobuf/proto"... | milvus/internal/querynodev2/segments/utils.go/0 | {
"file_path": "milvus/internal/querynodev2/segments/utils.go",
"repo_id": "milvus",
"token_count": 3906
} | 2,050 |
"""Util that calls you.com Search API.
In order to set this up, follow instructions at:
"""
import json
from typing import Any, Dict, List, Literal, Optional
import aiohttp
import requests
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
from langch... | langchain/libs/community/langchain_community/utilities/you.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/you.py",
"repo_id": "langchain",
"token_count": 3465
} | 332 |
from .open_clip import OpenCLIPEmbeddings
__all__ = ["OpenCLIPEmbeddings"]
| langchain/libs/experimental/langchain_experimental/open_clip/__init__.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/open_clip/__init__.py",
"repo_id": "langchain",
"token_count": 27
} | 444 |
// 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/OpenDALChunkManager.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/OpenDALChunkManager.cpp",
"repo_id": "milvus",
"token_count": 3423
} | 1,744 |
<!--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 agreed... | transformers/docs/source/ja/model_doc/ctrl.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/ctrl.md",
"repo_id": "transformers",
"token_count": 2118
} | 496 |
use candle::backend::BackendStorage;
use candle::{CpuStorage, CustomOp1, DType, Device, IndexOp, Layout, Result, Shape, Tensor, D};
use candle_nn::{Embedding, Linear, Module, RmsNorm};
use cudarc::nccl::safe::{Comm, ReduceOp};
use half::f16;
use serde::Deserialize;
use std::rc::Rc;
use std::sync::{Arc, Mutex};
use sup... | candle/candle-examples/examples/llama_multiprocess/model.rs/0 | {
"file_path": "candle/candle-examples/examples/llama_multiprocess/model.rs",
"repo_id": "candle",
"token_count": 7542
} | 41 |
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