text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
pub mod generation;
pub mod models;
pub mod object_detection;
pub mod pipelines;
pub mod quantized_nn;
pub mod quantized_var_builder;
pub mod utils;
| candle/candle-transformers/src/lib.rs/0 | {
"file_path": "candle/candle-transformers/src/lib.rs",
"repo_id": "candle",
"token_count": 47
} | 70 |
<!---
Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/examples/pytorch/image-pretraining/README.md/0 | {
"file_path": "transformers/examples/pytorch/image-pretraining/README.md",
"repo_id": "transformers",
"token_count": 3472
} | 549 |
from dataclasses import dataclass
from typing import List, Union
import numpy as np
import PIL
import torch
from ...utils import (
BaseOutput,
)
@dataclass
class TextToVideoSDPipelineOutput(BaseOutput):
"""
Output class for text-to-video pipelines.
Args:
frames (`torch.Tensor`, `np.ndarr... | diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 260
} | 252 |
- sections:
- local: index
title: 🧨 Diffusers
- local: quicktour
title: クイックツアー
- local: stable_diffusion
title: 有効で効率の良い拡散モデル
- local: installation
title: インストール
title: はじめに
- sections:
- local: tutorials/tutorial_overview
title: 概要
- local: tutorials/autopipeline
title: AutoPipe... | diffusers/docs/source/ja/_toctree.yml/0 | {
"file_path": "diffusers/docs/source/ja/_toctree.yml",
"repo_id": "diffusers",
"token_count": 166
} | 186 |
package notification
import (
"context"
"sync/atomic"
"github.com/chroma/chroma-coordinator/internal/common"
"github.com/chroma/chroma-coordinator/internal/model"
"github.com/pingcap/log"
"go.uber.org/zap"
)
type NotificationProcessor interface {
common.Component
Process(ctx context.Context) error
Trigger(c... | chroma/go/coordinator/internal/notification/notification_processor.go/0 | {
"file_path": "chroma/go/coordinator/internal/notification/notification_processor.go",
"repo_id": "chroma",
"token_count": 1414
} | 50 |
# Copyright 2020 The HuggingFace Datasets Authors.
#
# 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 ... | datasets/metrics/comet/comet.py/0 | {
"file_path": "datasets/metrics/comet/comet.py",
"repo_id": "datasets",
"token_count": 2168
} | 116 |
package proxy
import (
"context"
"fmt"
"strconv"
"github.com/cockroachdb/errors"
"github.com/golang/protobuf/proto"
"go.opentelemetry.io/otel"
"go.uber.org/zap"
"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
"github.com/milvus-io/milvus-proto/go-api/v2/milvuspb"
"github.com/milvus-io/milvus/interna... | milvus/internal/proxy/task_statistic.go/0 | {
"file_path": "milvus/internal/proxy/task_statistic.go",
"repo_id": "milvus",
"token_count": 8438
} | 1,747 |
<jupyter_start><jupyter_text>Automatic Speech Recogntion with Hugging Face's Transformers & Amazon SageMaker Transformer models are changing the world of machine learning, starting with natural language processing, and now, with audio and computer vision. Hugging Face's mission is to democratize good machine learning ... | notebooks/sagemaker/20_automatic_speech_recognition_inference/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/20_automatic_speech_recognition_inference/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 2639
} | 289 |
from typing import Any, Callable, Dict, List, Optional, Union
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
StableDiffusionPipeline,
UNet2D... | diffusers/examples/community/stable_diffusion_comparison.py/0 | {
"file_path": "diffusers/examples/community/stable_diffusion_comparison.py",
"repo_id": "diffusers",
"token_count": 7876
} | 202 |
# coding=utf-8
# Copyright 2021 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/mbart/test_modeling_tf_mbart.py/0 | {
"file_path": "transformers/tests/models/mbart/test_modeling_tf_mbart.py",
"repo_id": "transformers",
"token_count": 3761
} | 756 |
from langchain_community.utilities.awslambda import LambdaWrapper
__all__ = ["LambdaWrapper"]
| langchain/libs/langchain/langchain/utilities/awslambda.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/awslambda.py",
"repo_id": "langchain",
"token_count": 30
} | 593 |
# These kubernetes manifests are UNDER ACTIVE DEVELOPMENT and are not yet ready for production use.
# They will be used for the upcoming distributed version of chroma. They are not even ready
# for testing yet. Please do not use them unless you are working on the distributed version of chroma.
apiVersion: apiextensio... | chroma/k8s/crd/memberlist_crd.yaml/0 | {
"file_path": "chroma/k8s/crd/memberlist_crd.yaml",
"repo_id": "chroma",
"token_count": 521
} | 58 |
import { TextLoader } from "./text.js";
/**
* Loads a CSV file into a list of documents.
* Each document represents one row of the CSV file.
*
* When `column` is not specified, each row is converted into a key/value pair
* with each key/value pair outputted to a new line in the document's pageContent.
*
* @exam... | langchainjs/langchain/src/document_loaders/fs/csv.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/fs/csv.ts",
"repo_id": "langchainjs",
"token_count": 1232
} | 901 |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Configuration
[`PeftConfigMixin`] is the base configuration class for storing the adapter configuration of a [`PeftModel`], and [`PromptLearningCo... | peft/docs/source/package_reference/config.md/0 | {
"file_path": "peft/docs/source/package_reference/config.md",
"repo_id": "peft",
"token_count": 224
} | 314 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/mra/configuration_mra.py/0 | {
"file_path": "transformers/src/transformers/models/mra/configuration_mra.py",
"repo_id": "transformers",
"token_count": 2527
} | 661 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 338,
"logprob": -10.0078125,
"text": "is"
},
{
"id": 2178... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_all_params.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_medusa/test_flash_medusa_all_params.json",
"repo_id": "text-generation-inference",
"token_count": 1153
} | 400 |
---
sidebar_position: 4
---
# Trajectory Evaluators
Trajectory Evaluators in LangChain provide a more holistic approach to evaluating an agent. These evaluators assess the full sequence of actions taken by an agent and their corresponding responses, which we refer to as the "trajectory". This allows you to better meas... | langchain/docs/docs/guides/evaluation/trajectory/index.mdx/0 | {
"file_path": "langchain/docs/docs/guides/evaluation/trajectory/index.mdx",
"repo_id": "langchain",
"token_count": 358
} | 89 |
# to define environment variables available to docker-compose.yml
IMAGE_REPO=milvusdb
IMAGE_ARCH=amd64
OS_NAME=ubuntu20.04
# for services.builder.image in docker-compose.yml
DATE_VERSION=20231212-4651f89
LATEST_DATE_VERSION=20231212-4651f89
# for services.gpubuilder.image in docker-compose.yml
GPU_DATE_VERSION=20231... | milvus/.env/0 | {
"file_path": "milvus/.env",
"repo_id": "milvus",
"token_count": 328
} | 1,741 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/vector_stores/docarray/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/docarray/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,610 |
<!--Copyright 2021 NVIDIA Corporation and The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by a... | transformers/docs/source/en/model_doc/qdqbert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/qdqbert.md",
"repo_id": "transformers",
"token_count": 1978
} | 469 |
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).
git ls-files | black
lint: ## Run linters: pre-commit... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/Makefile/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-anyscale/Makefile",
"repo_id": "llama_index",
"token_count": 250
} | 1,218 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/finetuning/cross_encoders/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/finetuning/cross_encoders/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,593 |
import type { Conversation } from "$lib/types/Conversation";
import { sha256 } from "$lib/utils/sha256";
import { collections } from "../database";
export async function uploadFile(file: Blob, conv: Conversation): Promise<string> {
const sha = await sha256(await file.text());
const upload = collections.bucket.openU... | chat-ui/src/lib/server/files/uploadFile.ts/0 | {
"file_path": "chat-ui/src/lib/server/files/uploadFile.ts",
"repo_id": "chat-ui",
"token_count": 244
} | 102 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-gradio-agent-chat/llama_index/packs/gradio_agent_chat/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gradio-agent-chat/llama_index/packs/gradio_agent_chat/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,657 |
"""Embeddings tests."""
from typing import List
import pytest
from langchain_core.embeddings import Embeddings
from langchain.embeddings import CacheBackedEmbeddings
from langchain.storage.in_memory import InMemoryStore
class MockEmbeddings(Embeddings):
def embed_documents(self, texts: List[str]) -> List[List[f... | langchain/libs/langchain/tests/unit_tests/embeddings/test_caching.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/embeddings/test_caching.py",
"repo_id": "langchain",
"token_count": 977
} | 628 |
import os
import textwrap
import pyarrow as pa
import pytest
from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv
from ..utils import require_pil
@pytest.fixture
def csv_file(tmp_path):
filename = tmp_path / "file.csv"
data = textwrap.dedent(
"""\
... | datasets/tests/packaged_modules/test_csv.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_csv.py",
"repo_id": "datasets",
"token_count": 1672
} | 141 |
#!/bin/bash
# refer to https://github.com/yahoojapan/gongt/blob/master/assets/bench/download.sh
function check () {
if [ ! -e $1 ]; then
curl -LO $2
fi
# md5sum -c $1.md5
}
# check fashion-mnist-784-euclidean.hdf5 http://vectors.erikbern.com/fashion-mnist-784-euclidean.hdf5
# check glove-25-angula... | milvus/tests/python_client/assets/ann_hdf5/download.sh/0 | {
"file_path": "milvus/tests/python_client/assets/ann_hdf5/download.sh",
"repo_id": "milvus",
"token_count": 381
} | 1,983 |
"""Test SingleStoreDB functionality."""
from typing import List
import numpy as np
import pytest
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_community.vectorstores.singlestoredb import SingleStoreDB
from langchain_community.vectorstores.utils import Di... | langchain/libs/community/tests/integration_tests/vectorstores/test_singlestoredb.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_singlestoredb.py",
"repo_id": "langchain",
"token_count": 6380
} | 380 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/clvp/processing_clvp.py/0 | {
"file_path": "transformers/src/transformers/models/clvp/processing_clvp.py",
"repo_id": "transformers",
"token_count": 1351
} | 581 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/storage/chat_store/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/storage/chat_store/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,648 |
.. _Ref-Query:
Querying an Index
=================
This doc shows the classes that are used to query indices.
Main Query Classes
^^^^^^^^^^^^^^^^^^
Querying an index involves three main components:
- **Retrievers**: A retriever class retrieves a set of Nodes from an index given a query.
- **Response Synthesizer**... | llama_index/docs/api_reference/query.rst/0 | {
"file_path": "llama_index/docs/api_reference/query.rst",
"repo_id": "llama_index",
"token_count": 426
} | 1,058 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.chatgpt_plugin import ChatGPTPluginToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in ChatGPTPluginToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/tests/test_tools_chatgpt_plugin.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/tests/test_tools_chatgpt_plugin.py",
"repo_id": "llama_index",
"token_count": 101
} | 1,474 |
"""Struct store schema."""
from dataclasses import dataclass, field
from typing import Any, Dict
from dataclasses_json import DataClassJsonMixin
from llama_index.legacy.data_structs.data_structs import IndexStruct
from llama_index.legacy.data_structs.struct_type import IndexStructType
@dataclass
class StructDatapo... | llama_index/llama-index-legacy/llama_index/legacy/data_structs/table.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/data_structs/table.py",
"repo_id": "llama_index",
"token_count": 365
} | 1,698 |
# InstructPix2Pix SDXL training example
***This is based on the original InstructPix2Pix training example.***
[Stable Diffusion XL](https://huggingface.co/papers/2307.01952) (or SDXL) is the latest image generation model that is tailored towards more photorealistic outputs with more detailed imagery and composition c... | diffusers/examples/instruct_pix2pix/README_sdxl.md/0 | {
"file_path": "diffusers/examples/instruct_pix2pix/README_sdxl.md",
"repo_id": "diffusers",
"token_count": 3490
} | 216 |
# coding=utf-8
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | alignment-handbook/tests/test_model_utils.py/0 | {
"file_path": "alignment-handbook/tests/test_model_utils.py",
"repo_id": "alignment-handbook",
"token_count": 1782
} | 24 |
"""Test openai embeddings."""
import numpy as np
import pytest
from langchain_community.embeddings.openai import OpenAIEmbeddings
@pytest.mark.scheduled
def test_openai_embedding_documents() -> None:
"""Test openai embeddings."""
documents = ["foo bar"]
embedding = OpenAIEmbeddings()
output = embeddi... | langchain/libs/community/tests/integration_tests/embeddings/test_openai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_openai.py",
"repo_id": "langchain",
"token_count": 1049
} | 351 |
from langchain_community.document_loaders.azlyrics import AZLyricsLoader
__all__ = ["AZLyricsLoader"]
| langchain/libs/langchain/langchain/document_loaders/azlyrics.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/azlyrics.py",
"repo_id": "langchain",
"token_count": 32
} | 475 |
// 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/allocator/interface.go/0 | {
"file_path": "milvus/internal/allocator/interface.go",
"repo_id": "milvus",
"token_count": 329
} | 1,859 |
<jupyter_start><jupyter_text>Controllable Agents for RAGAdding agentic capabilities on top of your RAG pipeline can allow you to reason over much more complex questions.But a big pain point for agents is the **lack of steerability/transparency**. An agent may tackle a user query through chain-of-thought/planning, which... | llama_index/docs/examples/agent/agent_runner/agent_runner_rag.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/agent_runner/agent_runner_rag.ipynb",
"repo_id": "llama_index",
"token_count": 3210
} | 1,046 |
from .aim import AimCallback
from .base import CallbackManager
from .finetuning_handler import GradientAIFineTuningHandler, OpenAIFineTuningHandler
from .llama_debug import LlamaDebugHandler
from .open_inference_callback import OpenInferenceCallbackHandler
from .schema import CBEvent, CBEventType, EventPayload
from .to... | llama_index/llama-index-legacy/llama_index/legacy/callbacks/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/callbacks/__init__.py",
"repo_id": "llama_index",
"token_count": 268
} | 1,580 |
from abc import ABC, abstractmethod
from typing import Sequence, Optional
from uuid import UUID
from overrides import override
from chromadb.config import DEFAULT_DATABASE, DEFAULT_TENANT
from chromadb.api.models.Collection import Collection
from chromadb.api.types import (
CollectionMetadata,
Documents,
E... | chroma/chromadb/api/__init__.py/0 | {
"file_path": "chroma/chromadb/api/__init__.py",
"repo_id": "chroma",
"token_count": 7932
} | 15 |
from __future__ import annotations
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Dict, List, NamedTuple, Optional, Type, Union
from uuid import uuid4
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.runnables.graph_draw import draw
if TYPE_CHECKING:
from langchain... | langchain/libs/core/langchain_core/runnables/graph.py/0 | {
"file_path": "langchain/libs/core/langchain_core/runnables/graph.py",
"repo_id": "langchain",
"token_count": 2343
} | 419 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/tasks/zero_shot_image_classification.md/0 | {
"file_path": "transformers/docs/source/en/tasks/zero_shot_image_classification.md",
"repo_id": "transformers",
"token_count": 1757
} | 530 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# We need to know an absolute path to our repo root to do things like referencing ./LICENSE.txt file.
set(AZ_ROOT_DIR "${CMAKE_CURRENT_LIST_DIR}/..")
macro(az_vcpkg_integrate)
message("Vcpkg integrate step.")
# AUTO CMAKE_TOOLCHAIN_FILE:
... | milvus/internal/core/src/storage/azure-blob-storage/cmake-modules/AzureVcpkg.cmake/0 | {
"file_path": "milvus/internal/core/src/storage/azure-blob-storage/cmake-modules/AzureVcpkg.cmake",
"repo_id": "milvus",
"token_count": 2894
} | 1,746 |
"""Tools for interacting with a Power BI dataset."""
import logging
from time import perf_counter
from typing import Any, Dict, Optional, Tuple
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import Field, validator
from langch... | langchain/libs/community/langchain_community/tools/powerbi/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/powerbi/tool.py",
"repo_id": "langchain",
"token_count": 4821
} | 306 |
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: test-querynode-pod-failure
namespace: chaos-testing
spec:
selector:
pods:
chaos-testing:
- milvus-multi-querynode-querynode-bcdc595d9-7vmcj
- milvus-multi-querynode-querynode-bcdc595d9-ccxls
- milvus-multi-queryno... | milvus/tests/python_client/chaos/chaos_objects/template/pod-failure-by-pod-list.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/template/pod-failure-by-pod-list.yaml",
"repo_id": "milvus",
"token_count": 186
} | 1,899 |
#ifndef _q_matrix_cuh
#define _q_matrix_cuh
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include <cstdint>
#include <cstdio>
#define MAX_SUPERGROUPS 16
class QMatrix
{
public:
int device;
bool is_gptq;
int height;
int width;
int groups;
int gptq_groupsize;
int rows_8;
int rows... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cuh",
"repo_id": "text-generation-inference",
"token_count": 702
} | 422 |
/// <reference types="@sveltejs/kit" />
/// <reference types="unplugin-icons/types/svelte" />
import type { User } from "$lib/types/User";
// See https://kit.svelte.dev/docs/types#app
// for information about these interfaces
declare global {
namespace App {
// interface Error {}
interface Locals {
sessionId:... | chat-ui/src/app.d.ts/0 | {
"file_path": "chat-ui/src/app.d.ts",
"repo_id": "chat-ui",
"token_count": 145
} | 84 |
from langchain_community.tools.nuclia.tool import NUASchema, NucliaUnderstandingAPI
__all__ = ["NUASchema", "NucliaUnderstandingAPI"]
| langchain/libs/langchain/langchain/tools/nuclia/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/nuclia/tool.py",
"repo_id": "langchain",
"token_count": 46
} | 607 |
import {
AIMessage,
AIMessageChunk,
BaseMessage,
BaseMessageChunk,
MessageContent,
MessageContentComplex,
MessageContentImageUrl,
MessageContentText,
SystemMessage,
} from "@langchain/core/messages";
import {
ChatGeneration,
ChatGenerationChunk,
ChatResult,
Generation,
} from "@langchain/core/... | langchainjs/libs/langchain-google-common/src/utils/gemini.ts/0 | {
"file_path": "langchainjs/libs/langchain-google-common/src/utils/gemini.ts",
"repo_id": "langchainjs",
"token_count": 2648
} | 979 |
from typing import Any
def __getattr__(name: str = "") -> Any:
raise ImportError(
"This tool has been moved to langchain experiment. "
"This tool has access to a python REPL. "
"For best practices make sure to sandbox this tool. "
"Read https://github.com/langchain-ai/langchain/blo... | langchain/libs/langchain/langchain/tools/python/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/python/__init__.py",
"repo_id": "langchain",
"token_count": 177
} | 564 |
# Copyright 2020 The HuggingFace Datasets Authors.
#
# 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 ... | datasets/metrics/bertscore/bertscore.py/0 | {
"file_path": "datasets/metrics/bertscore/bertscore.py",
"repo_id": "datasets",
"token_count": 3284
} | 127 |
import datetime
from copy import deepcopy
from typing import Any, Dict, List, Optional, Tuple
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import Field
from langchain_core.retrievers import BaseRetriever
from langchain... | langchain/libs/langchain/langchain/retrievers/time_weighted_retriever.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/time_weighted_retriever.py",
"repo_id": "langchain",
"token_count": 2537
} | 586 |
<!--版权2023年HuggingFace团队保留所有权利。
根据Apache许可证第2.0版（“许可证”）许可；除非符合许可证，否则您不得使用此文件。您可以在以下网址获取许可证的副本：
http://www.apache.org/licenses/LICENSE-2.0
除非适用法律要求或书面同意，否则按“按原样”分发的软件，无论是明示还是暗示的，都没有任何担保或条件。请参阅许可证以了解特定语言下的权限和限制。
⚠️ 请注意，本文件虽然使用Markdown编写，但包含了特定的语法，适用于我们的doc-builder（类似于MDX），可能无法在您的Markdown查看器中正常渲染。
-->
# 🤗 加速分布式训练
... | transformers/docs/source/zh/accelerate.md/0 | {
"file_path": "transformers/docs/source/zh/accelerate.md",
"repo_id": "transformers",
"token_count": 2552
} | 532 |
package grpccoordinator
import (
"io"
"time"
"github.com/chroma/chroma-coordinator/cmd/flag"
"github.com/chroma/chroma-coordinator/internal/grpccoordinator"
"github.com/chroma/chroma-coordinator/internal/grpccoordinator/grpcutils"
"github.com/chroma/chroma-coordinator/internal/utils"
"github.com/spf13/cobra"
)... | chroma/go/coordinator/cmd/grpccoordinator/cmd.go/0 | {
"file_path": "chroma/go/coordinator/cmd/grpccoordinator/cmd.go",
"repo_id": "chroma",
"token_count": 952
} | 43 |
<jupyter_start><jupyter_text>Simple Directory Reader The `SimpleDirectoryReader` is the most commonly used data connector that _just works_. Simply pass in a input directory or a list of files. It will select the best file reader based on the file extensions. Get Started If you're opening this Notebook on colab, y... | llama_index/docs/examples/data_connectors/simple_directory_reader.ipynb/0 | {
"file_path": "llama_index/docs/examples/data_connectors/simple_directory_reader.ipynb",
"repo_id": "llama_index",
"token_count": 884
} | 1,050 |
<!--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/en/using-diffusers/stable_diffusion_jax_how_to.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/stable_diffusion_jax_how_to.md",
"repo_id": "diffusers",
"token_count": 3027
} | 201 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/util/importutil/json_handler.go/0 | {
"file_path": "milvus/internal/util/importutil/json_handler.go",
"repo_id": "milvus",
"token_count": 4755
} | 1,880 |
<jupyter_start><jupyter_text>HuggingGPTImplementation of [HuggingGPT](https://github.com/microsoft/JARVIS). HuggingGPT is a system to connect LLMs (ChatGPT) with ML community (Hugging Face).+ 🔥 Paper: https://arxiv.org/abs/2303.17580+ 🚀 Project: https://github.com/microsoft/JARVIS+ 🤗 Space: https://huggingface.co/sp... | langchain/cookbook/hugginggpt.ipynb/0 | {
"file_path": "langchain/cookbook/hugginggpt.ipynb",
"repo_id": "langchain",
"token_count": 687
} | 77 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/index/VectorMemIndex.h/0 | {
"file_path": "milvus/internal/core/src/index/VectorMemIndex.h",
"repo_id": "milvus",
"token_count": 1146
} | 1,928 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/examples/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-auto-merging-retriever/examples/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,576 |
# coding=utf-8
# Copyright 2021 NVIDIA Corporation. 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... | transformers/examples/research_projects/quantization-qdqbert/quant_trainer.py/0 | {
"file_path": "transformers/examples/research_projects/quantization-qdqbert/quant_trainer.py",
"repo_id": "transformers",
"token_count": 5091
} | 584 |
import copy
import inspect
from dataclasses import dataclass
from typing import Callable, List, Optional, Union
import numpy as np
import PIL.Image
import torch
import torch.nn.functional as F
from torch.nn.functional import grid_sample
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from ..... | diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero.py",
"repo_id": "diffusers",
"token_count": 19840
} | 271 |
<jupyter_start><jupyter_text>Azure Blob Storage File>[Azure Files](https://learn.microsoft.com/en-us/azure/storage/files/storage-files-introduction) offers fully managed file shares in the cloud that are accessible via the industry standard Server Message Block (`SMB`) protocol, Network File System (`NFS`) protocol, an... | langchain/docs/docs/integrations/document_loaders/azure_blob_storage_file.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/azure_blob_storage_file.ipynb",
"repo_id": "langchain",
"token_count": 218
} | 98 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/test_modeling_flax_utils.py/0 | {
"file_path": "transformers/tests/test_modeling_flax_utils.py",
"repo_id": "transformers",
"token_count": 6875
} | 846 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/integrations/integration_utils.py/0 | {
"file_path": "transformers/src/transformers/integrations/integration_utils.py",
"repo_id": "transformers",
"token_count": 37496
} | 596 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-youtube-transcript/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-youtube-transcript/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,440 |
import { OpenAIEmbeddings } from "@langchain/openai";
import { Neo4jVectorStore } from "@langchain/community/vectorstores/neo4j_vector";
/**
* `fromExistingGraph` Method:
*
* Description:
* This method initializes a `Neo4jVectorStore` instance using an existing graph in the Neo4j database.
* It's designed to work... | langchainjs/examples/src/indexes/vector_stores/neo4j_vector/neo4j_vector_existinggraph.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/neo4j_vector/neo4j_vector_existinggraph.ts",
"repo_id": "langchainjs",
"token_count": 368
} | 819 |
package indexparamcheck
import (
"strconv"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/util/metric"
)
func Test_hnswChecker_CheckTrain(t *testing.T) {
validParams := map[string]string{
DIM: strconv.Itoa(128... | milvus/pkg/util/indexparamcheck/hnsw_checker_test.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/hnsw_checker_test.go",
"repo_id": "milvus",
"token_count": 1969
} | 2,056 |
import { ChatTogetherAI } from "@langchain/community/chat_models/togetherai";
import { HumanMessage } from "@langchain/core/messages";
const model = new ChatTogetherAI({
temperature: 0.9,
// In Node.js defaults to process.env.TOGETHER_AI_API_KEY
togetherAIApiKey: "YOUR-API-KEY",
});
console.log(await model.invo... | langchainjs/examples/src/models/chat/integration_togetherai.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_togetherai.ts",
"repo_id": "langchainjs",
"token_count": 118
} | 825 |
# coding=utf-8
# Copyright 2019 The Open AI Team Authors 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/licenses/LICENSE-2.0
#
# ... | transformers/src/transformers/models/fsmt/tokenization_fsmt.py/0 | {
"file_path": "transformers/src/transformers/models/fsmt/tokenization_fsmt.py",
"repo_id": "transformers",
"token_count": 9142
} | 620 |
"""Steam Toolkit."""
| langchain/libs/langchain/langchain/agents/agent_toolkits/steam/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/steam/__init__.py",
"repo_id": "langchain",
"token_count": 7
} | 483 |
"""Query for KeywordTableIndex."""
import logging
from abc import abstractmethod
from collections import defaultdict
from typing import Any, Dict, List, Optional
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.indices.keyw... | llama_index/llama-index-core/llama_index/core/indices/keyword_table/retrievers.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/keyword_table/retrievers.py",
"repo_id": "llama_index",
"token_count": 3014
} | 1,153 |
.. _Ref-Multi-Modal-LLMs:
Multi-Modal LLMs, Vector Stores, Embeddings, Retriever, and Query Engine
====
Multi-Modal large language model (LLM) is a Multi-Modal reasoning engine that
can complete text and image chat with users, and follow instructions.
Multi-Modal LLM Implementations
^^^^^^^^^^^^^^^^^^^
.. toctree:... | llama_index/docs/api_reference/multi_modal.rst/0 | {
"file_path": "llama_index/docs/api_reference/multi_modal.rst",
"repo_id": "llama_index",
"token_count": 528
} | 1,031 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/retrievers/auto_retriever/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/vector_store/retrievers/auto_retriever/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,523 |
# 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 this fil... | milvus/configs/advanced/etcd.yaml/0 | {
"file_path": "milvus/configs/advanced/etcd.yaml",
"repo_id": "milvus",
"token_count": 1269
} | 1,900 |
"""Memory modules for conversation prompts."""
from langchain.memory.buffer import (
ConversationBufferMemory,
ConversationStringBufferMemory,
)
from langchain.memory.buffer_window import ConversationBufferWindowMemory
from langchain.memory.combined import CombinedMemory
from langchain.memory.entity import Con... | langchain/libs/langchain/langchain/chains/conversation/memory.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/conversation/memory.py",
"repo_id": "langchain",
"token_count": 227
} | 481 |
"""Test few shot prompt template."""
import pytest
from langchain_core.prompts.few_shot_with_templates import FewShotPromptWithTemplates
from langchain_core.prompts.prompt import PromptTemplate
EXAMPLE_PROMPT = PromptTemplate(
input_variables=["question", "answer"], template="{question}: {answer}"
)
def test_p... | langchain/libs/core/tests/unit_tests/prompts/test_few_shot_with_templates.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/prompts/test_few_shot_with_templates.py",
"repo_id": "langchain",
"token_count": 981
} | 447 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,456 |
from langchain_community.chat_models import ChatOpenAI
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.runnables import RunnablePassthrough
skeleton_generator_template = """[User:] You’r... | langchain/templates/skeleton-of-thought/skeleton_of_thought/chain.py/0 | {
"file_path": "langchain/templates/skeleton-of-thought/skeleton_of_thought/chain.py",
"repo_id": "langchain",
"token_count": 1098
} | 677 |
<jupyter_start><jupyter_text>Tune GPT2 to generate controlled sentiment reviews> Optimise GPT2 to produce IMDB movie reviews with controlled sentiment using a BERT sentiment classifier for rewards.**WARNING:** We often experienced loss spikes in this examples which caused model training to fail or slow down. There is a... | trl/examples/notebooks/gpt2-sentiment-control.ipynb/0 | {
"file_path": "trl/examples/notebooks/gpt2-sentiment-control.ipynb",
"repo_id": "trl",
"token_count": 4606
} | 857 |
---
sidebar_class_name: node-only
---
# Llama CPP
:::tip Compatibility
Only available on Node.js.
:::
This module is based on the [node-llama-cpp](https://github.com/withcatai/node-llama-cpp) Node.js bindings for [llama.cpp](https://github.com/ggerganov/llama.cpp), allowing you to work with a locally running LLM. Th... | langchainjs/docs/core_docs/docs/integrations/llms/llama_cpp.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/llama_cpp.mdx",
"repo_id": "langchainjs",
"token_count": 1769
} | 731 |
//! A crate to extract and inject a OpenTelemetry context from and to a gRPC request.
//! Inspired by: https://github.com/open-telemetry/opentelemetry-rust gRPC examples
use opentelemetry::global;
use opentelemetry::propagation::{Extractor, Injector};
use tracing_opentelemetry::OpenTelemetrySpanExt;
/// Extract conte... | text-generation-inference/router/grpc-metadata/src/lib.rs/0 | {
"file_path": "text-generation-inference/router/grpc-metadata/src/lib.rs",
"repo_id": "text-generation-inference",
"token_count": 889
} | 411 |
# Conclusion
**Congrats on finishing this unit**! There was a lot of information.
And congrats on finishing the tutorial. You've just coded your first Deep Reinforcement Learning agent from scratch using PyTorch and shared it on the Hub 🥳.
Don't hesitate to iterate on this unit **by improving the implementation for... | deep-rl-class/units/en/unit4/conclusion.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit4/conclusion.mdx",
"repo_id": "deep-rl-class",
"token_count": 250
} | 170 |
[tool.poetry]
name = "plate-chain"
version = "0.0.1"
description = "Parse data from laboratory plates into standardized formats"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
langserve = ">=0.0.19"
[tool.poetry.group.dev.dependencies]
langchain-c... | langchain/templates/plate-chain/pyproject.toml/0 | {
"file_path": "langchain/templates/plate-chain/pyproject.toml",
"repo_id": "langchain",
"token_count": 282
} | 670 |
import { v4 as uuidv4 } from "uuid";
import { type DocumentInterface, Document } from "@langchain/core/documents";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import {
AsyncCaller,
AsyncCallerParams,
} from "@langchain/core/utils/async_caller";
import { chunkArray } from "@langchain/core/... | langchainjs/libs/langchain-community/src/vectorstores/turbopuffer.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/turbopuffer.ts",
"repo_id": "langchainjs",
"token_count": 3332
} | 976 |
20
| langchainjs/.nvmrc/0 | {
"file_path": "langchainjs/.nvmrc",
"repo_id": "langchainjs",
"token_count": 2
} | 685 |
package indexparamcheck
import (
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/util/metric"
)
const (
MinNBits = 1
MaxNBits = 16
DefaultNBits = 8
// MinNList is the lower limit of nlist that used in Index IVFxxx
MinNList = 1
// MaxNList is the upper limit of nlist that use... | milvus/pkg/util/indexparamcheck/constraints.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/constraints.go",
"repo_id": "milvus",
"token_count": 928
} | 2,055 |
export * from "@langchain/community/stores/doc/in_memory";
| langchainjs/langchain/src/stores/doc/in_memory.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/doc/in_memory.ts",
"repo_id": "langchainjs",
"token_count": 18
} | 911 |
"""Util that calls Google Scholar Search."""
from typing import Any, Dict, Optional, cast
from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
class GoogleTrendsAPIWrapper(BaseModel):
"""Wrapper for SerpApi... | langchain/libs/community/langchain_community/utilities/google_trends.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/google_trends.py",
"repo_id": "langchain",
"token_count": 1911
} | 319 |
"""Init params."""
| llama_index/llama-index-core/tests/indices/knowledge_graph/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/knowledge_graph/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,208 |
# 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/videomae/convert_videomae_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/videomae/convert_videomae_to_pytorch.py",
"repo_id": "transformers",
"token_count": 6110
} | 758 |
<!--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... | peft/docs/source/task_guides/lora_based_methods.md/0 | {
"file_path": "peft/docs/source/task_guides/lora_based_methods.md",
"repo_id": "peft",
"token_count": 4847
} | 308 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/util/cache/policy.go/0 | {
"file_path": "milvus/pkg/util/cache/policy.go",
"repo_id": "milvus",
"token_count": 2218
} | 1,823 |
from retrieval_agent_fireworks.chain import agent_executor
__all__ = ["agent_executor"]
| langchain/templates/retrieval-agent-fireworks/retrieval_agent_fireworks/__init__.py/0 | {
"file_path": "langchain/templates/retrieval-agent-fireworks/retrieval_agent_fireworks/__init__.py",
"repo_id": "langchain",
"token_count": 27
} | 728 |
<!---
Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | transformers/docs/source/pt/installation.md/0 | {
"file_path": "transformers/docs/source/pt/installation.md",
"repo_id": "transformers",
"token_count": 3759
} | 535 |
from langchain.agents.output_parsers.self_ask import SelfAskOutputParser
# For backwards compatibility
__all__ = ["SelfAskOutputParser"]
| langchain/libs/langchain/langchain/agents/self_ask_with_search/output_parser.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/self_ask_with_search/output_parser.py",
"repo_id": "langchain",
"token_count": 38
} | 490 |
# 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/models/test_layers_utils.py/0 | {
"file_path": "diffusers/tests/models/test_layers_utils.py",
"repo_id": "diffusers",
"token_count": 10695
} | 270 |
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/agent/runner/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/agent/runner/BUILD",
"repo_id": "llama_index",
"token_count": 15
} | 1,205 |
# coding=utf-8
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/camembert/test_modeling_camembert.py/0 | {
"file_path": "transformers/tests/models/camembert/test_modeling_camembert.py",
"repo_id": "transformers",
"token_count": 814
} | 705 |
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