text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/pix2struct/test_processor_pix2struct.py/0 | {
"file_path": "transformers/tests/models/pix2struct/test_processor_pix2struct.py",
"repo_id": "transformers",
"token_count": 2857
} | 806 |
import { test, expect } from "@jest/globals";
import { CohereEmbeddings } from "../embeddings.js";
test("Test CohereEmbeddings.embedQuery", async () => {
const embeddings = new CohereEmbeddings();
const res = await embeddings.embedQuery("Hello world");
expect(typeof res[0]).toBe("number");
});
test("Test Cohere... | langchainjs/libs/langchain-cohere/src/tests/embeddings.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-cohere/src/tests/embeddings.int.test.ts",
"repo_id": "langchainjs",
"token_count": 373
} | 973 |
# flake8: noqa
from langchain_core.prompts.prompt import PromptTemplate
EXAMPLES = [
"""Setup: You are now playing a fast paced round of TextWorld! Here is your task for
today. First of all, you could, like, try to travel east. After that, take the
binder from the locker. With the binder, place the binder on the m... | langchain/libs/langchain/langchain/agents/react/textworld_prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/react/textworld_prompt.py",
"repo_id": "langchain",
"token_count": 568
} | 470 |
python_tests()
| llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/graph_stores/llama-index-graph-stores-neo4j/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,335 |
"""RAG Fusion Pipeline."""
from typing import Any, Dict, List, Optional
from llama_index.core import Document, ServiceContext, VectorStoreIndex
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.llms.llm import LLM
from llama_index.core.node_parser import SentenceSplitter
from llama_inde... | llama_index/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/llama_index/packs/rag_fusion_query_pipeline/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-rag-fusion-query-pipeline/llama_index/packs/rag_fusion_query_pipeline/base.py",
"repo_id": "llama_index",
"token_count": 1888
} | 1,667 |
"""Prompt template that contains few shot examples."""
from __future__ import annotations
from pathlib import Path
from typing import Any, Dict, List, Literal, Optional, Union
from langchain_core.messages import BaseMessage, get_buffer_string
from langchain_core.prompts.chat import (
BaseChatPromptTemplate,
... | langchain/libs/core/langchain_core/prompts/few_shot.py/0 | {
"file_path": "langchain/libs/core/langchain_core/prompts/few_shot.py",
"repo_id": "langchain",
"token_count": 5012
} | 427 |
<jupyter_start><jupyter_text>Cassandra [Cassandra](https://cassandra.apache.org/) is a NoSQL, row-oriented, highly scalable and highly available database.Starting with version 5.0, the database ships with [vector search capabilities](https://cassandra.apache.org/doc/trunk/cassandra/vector-search/overview.html). Overvi... | langchain/docs/docs/integrations/document_loaders/cassandra.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/cassandra.ipynb",
"repo_id": "langchain",
"token_count": 831
} | 99 |
[package]
name = "candle-onnx"
version = "0.4.0"
edition = "2021"
description = "ONNX support for Candle"
repository = "https://github.com/huggingface/candle"
keywords = ["blas", "tensor", "machine-learning"]
categories = ["science"]
license = "MIT OR Apache-2.0"
[dependencies]
candle = { path = "../candle-core", pac... | candle/candle-onnx/Cargo.toml/0 | {
"file_path": "candle/candle-onnx/Cargo.toml",
"repo_id": "candle",
"token_count": 242
} | 70 |
from langchain_community.document_loaders.telegram import (
TelegramChatApiLoader,
TelegramChatFileLoader,
concatenate_rows,
text_to_docs,
)
__all__ = [
"concatenate_rows",
"TelegramChatFileLoader",
"text_to_docs",
"TelegramChatApiLoader",
]
| langchain/libs/langchain/langchain/document_loaders/telegram.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/telegram.py",
"repo_id": "langchain",
"token_count": 112
} | 494 |
<jupyter_start><jupyter_text>ReAct Agent - A Simple Intro with Calculator ToolsThis is a notebook that showcases the ReAct agent over very simple calculator tools (no fancy RAG pipelines or API calls).We show how it can reason step-by-step over different tools to achieve the end goal. If you're opening this Notebook on... | llama_index/docs/examples/agent/react_agent.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/react_agent.ipynb",
"repo_id": "llama_index",
"token_count": 2154
} | 1,043 |
""" Wrapper around scikit-learn NearestNeighbors implementation.
The vector store can be persisted in json, bson or parquet format.
"""
import json
import math
import os
from abc import ABC, abstractmethod
from typing import Any, Dict, Iterable, List, Literal, Optional, Tuple, Type
from uuid import uuid4
from langch... | langchain/libs/community/langchain_community/vectorstores/sklearn.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/sklearn.py",
"repo_id": "langchain",
"token_count": 5544
} | 312 |
from langchain_core.output_parsers import BaseOutputParser
class BooleanOutputParser(BaseOutputParser[bool]):
"""Parse the output of an LLM call to a boolean."""
true_val: str = "YES"
"""The string value that should be parsed as True."""
false_val: str = "NO"
"""The string value that should be pa... | langchain/libs/langchain/langchain/output_parsers/boolean.py/0 | {
"file_path": "langchain/libs/langchain/langchain/output_parsers/boolean.py",
"repo_id": "langchain",
"token_count": 438
} | 525 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/stable_diffusion_sag/test_stable_diffusion_sag.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_sag/test_stable_diffusion_sag.py",
"repo_id": "diffusers",
"token_count": 3475
} | 276 |
#!/bin/bash
# ref: github.com/milvus-io/milvus/docker/buidler/cpu/centos7/Dockerfile github.com/milvus-io/milvus/docker/openblas/centos7/Dockerfile
# Install devltoolset
yum install -y epel-release centos-release-scl-rh && yum install -y wget make automake \
devtoolset-11-gcc devtoolset-11-gcc-c++ devtoolset-11-g... | milvus/build/rpm/setup-env.sh/0 | {
"file_path": "milvus/build/rpm/setup-env.sh",
"repo_id": "milvus",
"token_count": 1211
} | 1,706 |
<jupyter_start><jupyter_code># Setup OpenAI Agent
import openai
openai.api_key = "sk-your-key"
from llama_index.agent import OpenAIAgent
from llama_index.tools.azure_speech.base import AzureSpeechToolSpec
from llama_index.tools.azure_translate.base import AzureTranslateToolSpec
speech_tool = AzureSpeechToolSpec(speec... | llama_index/llama-index-integrations/tools/llama-index-tools-azure-speech/examples/azure_speech.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-azure-speech/examples/azure_speech.ipynb",
"repo_id": "llama_index",
"token_count": 638
} | 1,504 |
import os
from pathlib import Path
from langchain_community.vectorstores import Chroma
from langchain_experimental.open_clip import OpenCLIPEmbeddings
# Load images
img_dump_path = Path(__file__).parent / "docs/"
rel_img_dump_path = img_dump_path.relative_to(Path.cwd())
image_uris = sorted(
[
os.path.join... | langchain/templates/rag-multi-modal-local/ingest.py/0 | {
"file_path": "langchain/templates/rag-multi-modal-local/ingest.py",
"repo_id": "langchain",
"token_count": 400
} | 679 |
import time
import uuid
from typing import Any, Dict, Optional
import numpy as np
def parse_input(
input_text: str, tokenizer: Any, end_id: int, remove_input_padding: bool
) -> Any:
try:
import torch
except ImportError:
raise ImportError("nvidia_tensorrt requires `pip install torch`.")
... | llama_index/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/llama_index/llms/nvidia_tensorrt/utils.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-nvidia-tensorrt/llama_index/llms/nvidia_tensorrt/utils.py",
"repo_id": "llama_index",
"token_count": 1194
} | 1,408 |
#!/usr/bin/env python
# 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/LI... | diffusers/examples/dreambooth/train_dreambooth_lora.py/0 | {
"file_path": "diffusers/examples/dreambooth/train_dreambooth_lora.py",
"repo_id": "diffusers",
"token_count": 25990
} | 213 |
"""Init params."""
| llama_index/llama-index-legacy/llama_index/legacy/agent/custom/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/custom/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,686 |
# order by contributions
reviewers:
- godchen0212
- czs007
- xige-16
- cydrain
- bigsheeper
- scsven
- DragonDriver
approvers:
- maintainers
| milvus/internal/distributed/OWNERS/0 | {
"file_path": "milvus/internal/distributed/OWNERS",
"repo_id": "milvus",
"token_count": 62
} | 1,706 |
import pytest
from langchain_core.outputs.llm_result import LLMResult
from langchain_core.tracers.context import collect_runs
from tests.unit_tests.fake.callbacks import (
BaseFakeCallbackHandler,
FakeAsyncCallbackHandler,
FakeCallbackHandler,
)
from tests.unit_tests.fake.llm import FakeListLLM, FakeStream... | langchain/libs/core/tests/unit_tests/language_models/llms/test_base.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/language_models/llms/test_base.py",
"repo_id": "langchain",
"token_count": 1819
} | 406 |
"""Test the FileMove tool."""
from pathlib import Path
from tempfile import TemporaryDirectory
from langchain_community.tools.file_management.move import MoveFileTool
from langchain_community.tools.file_management.utils import (
INVALID_PATH_TEMPLATE,
)
def test_move_file_with_root_dir() -> None:
"""Test th... | langchain/libs/community/tests/unit_tests/tools/file_management/test_move.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/tools/file_management/test_move.py",
"repo_id": "langchain",
"token_count": 780
} | 385 |
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import FAISS
from langchain.retrievers.contextual_compression import ContextualCompressionRetriever
from langchain.retrievers.document_compressors import EmbeddingsFilter
def test_contextual_compression_retriever_get_re... | langchain/libs/langchain/tests/integration_tests/retrievers/test_contextual_compression.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/retrievers/test_contextual_compression.py",
"repo_id": "langchain",
"token_count": 385
} | 626 |
from typing import Dict, Type
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
RECOGNIZED_EMBEDDINGS: Dict[str, Type[BaseEmbedding]] = {
MockEmbedding.class_name(): MockEmbedding,
}
def load_embed_model(data: dict) -> BaseEmbe... | llama_index/llama-index-core/llama_index/core/embeddings/loading.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/embeddings/loading.py",
"repo_id": "llama_index",
"token_count": 275
} | 1,114 |
# Introduction
<CourseFloatingBanner
unit={0}
classNames="absolute z-10 right-0 top-0"
/>
## Welcome to the course on diffusion models 🤗 !
## What to expect?
In this free course, you will:
- 👩🎓 Study the theory behind diffusion models
- 🧨 Learn how to generate images and audio with the popular 🤗 Diffu... | diffusion-models-class/units/en/unit0/1.mdx/0 | {
"file_path": "diffusion-models-class/units/en/unit0/1.mdx",
"repo_id": "diffusion-models-class",
"token_count": 1359
} | 287 |
# Web Explorer
This is a lightweight app using the [Web Research Retriever](https://github.com/langchain-ai/langchain/pull/8102).
## Setup
You only need to supply a few things.
In `settings()` function, supply:
* Search: Select the search tool you want to use (e.g., GoogleSearchAPIWrapper).
* Vectorstore: Select t... | web-explorer/README.md/0 | {
"file_path": "web-explorer/README.md",
"repo_id": "web-explorer",
"token_count": 467
} | 1,994 |
# flake8: noqa
# The description of the chain you are exposing. This will be used by ChatGPT to decide when to call it.
ENDPOINT_DESCRIPTION = ""
# The name of your endpoint that you are exposing.
ENDPOINT_NAME = ""
# The input key for the chain. The user input will get mapped to this key.
INPUT_NAME = ""
# The output ... | langchain-aiplugin/template/constants.py/0 | {
"file_path": "langchain-aiplugin/template/constants.py",
"repo_id": "langchain-aiplugin",
"token_count": 210
} | 62 |
# 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/openai/test_modeling_openai.py/0 | {
"file_path": "transformers/tests/models/openai/test_modeling_openai.py",
"repo_id": "transformers",
"token_count": 5450
} | 742 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/lilt/modeling_lilt.py/0 | {
"file_path": "transformers/src/transformers/models/lilt/modeling_lilt.py",
"repo_id": "transformers",
"token_count": 22248
} | 636 |
<!--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/ja/model_doc/blip-2.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/blip-2.md",
"repo_id": "transformers",
"token_count": 2258
} | 491 |
""" PyTorch implementation of DualPathNetworks
Based on original MXNet implementation https://github.com/cypw/DPNs with
many ideas from another PyTorch implementation https://github.com/oyam/pytorch-DPNs.
This implementation is compatible with the pretrained weights from cypw's MXNet implementation.
Hacked together b... | pytorch-image-models/timm/models/dpn.py/0 | {
"file_path": "pytorch-image-models/timm/models/dpn.py",
"repo_id": "pytorch-image-models",
"token_count": 6985
} | 372 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "stores/message/redis",
newEntrypointName: "",
newPackageName: "@langchain/redis",
});
export * from "@langchain/community/stores/message/redis";
| langchainjs/langchain/src/stores/message/redis.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/message/redis.ts",
"repo_id": "langchainjs",
"token_count": 97
} | 927 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/autoencoders/autoencoder_asym_kl.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_asym_kl.py",
"repo_id": "diffusers",
"token_count": 3208
} | 223 |
search_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_7/sift_50m_2048_128_l2_sq8_wal
cache_config.cpu_cache_capacity: 32
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 0
gpu_resource_config.enable: true
... | milvus/tests/benchmark/milvus_benchmark/suites/metric.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/metric.yaml",
"repo_id": "milvus",
"token_count": 805
} | 1,977 |
python_sources()
| llama_index/llama-index-integrations/llms/llama-index-llms-anyscale/llama_index/llms/anyscale/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-anyscale/llama_index/llms/anyscale/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,248 |
# order by contributions
reviewers:
- sunby
- czs007
- XuanYang-cn
approvers:
- maintainers
| milvus/pkg/log/OWNERS/0 | {
"file_path": "milvus/pkg/log/OWNERS",
"repo_id": "milvus",
"token_count": 37
} | 1,914 |
"""Init params."""
from llama_index.legacy.readers.chatgpt_plugin.base import ChatGPTRetrievalPluginReader
__all__ = ["ChatGPTRetrievalPluginReader"]
| llama_index/llama-index-legacy/llama_index/legacy/readers/chatgpt_plugin/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/chatgpt_plugin/__init__.py",
"repo_id": "llama_index",
"token_count": 52
} | 1,592 |
{
"modelname": "TemplateBI",
"uppercase_modelname": "TEMPLATE_BI",
"lowercase_modelname": "template_bi",
"camelcase_modelname": "TemplateBi",
"authors": "The HuggingFace Team",
"checkpoint_identifier": "bi-brand-new-bert-base-cased",
"tokenizer_type": "Standalone",
"generate_tensorflow_pytorch_and_flax"... | transformers/templates/adding_a_new_model/tests/standalone.json/0 | {
"file_path": "transformers/templates/adding_a_new_model/tests/standalone.json",
"repo_id": "transformers",
"token_count": 155
} | 696 |
import importlib
import logging
import pkgutil
from typing import Union, Dict, Type, Callable # noqa: F401
from chromadb.auth import (
ClientAuthConfigurationProvider,
ClientAuthCredentialsProvider,
ClientAuthProtocolAdapter,
ServerAuthProvider,
ServerAuthConfigurationProvider,
ServerAuthCrede... | chroma/chromadb/auth/registry.py/0 | {
"file_path": "chroma/chromadb/auth/registry.py",
"repo_id": "chroma",
"token_count": 2016
} | 14 |
#!/usr/bin/env bash
BUILD_UNITTEST="OFF"
while getopts "p:s:t:h" arg; do
case $arg in
p)
INSTALL_PREFIX=$OPTARG
;;
s)
SOURCE_DIR=$OPTARG
;;
t)
BUILD_UNITTEST=$OPTARG
;;
h) # help
echo "
parameter:
-p: install prefix
-s: source directory
-t: ON means build with unittest
-h: help
us... | milvus/scripts/azure_build.sh/0 | {
"file_path": "milvus/scripts/azure_build.sh",
"repo_id": "milvus",
"token_count": 519
} | 1,929 |
# SE-ResNet
**SE ResNet** is a variant of a [ResNet](https://www.paperswithcode.com/method/resnet) that employs [squeeze-and-excitation blocks](https://paperswithcode.com/method/squeeze-and-excitation-block) to enable the network to perform dynamic channel-wise feature recalibration.
{% include 'code_snippets.md' %}
... | pytorch-image-models/docs/models/.templates/models/se-resnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/se-resnet.md",
"repo_id": "pytorch-image-models",
"token_count": 1371
} | 347 |
from langchain_community.vectorstores.scann import (
ScaNN,
)
__all__ = ["ScaNN"]
| langchain/libs/langchain/langchain/vectorstores/scann.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/scann.py",
"repo_id": "langchain",
"token_count": 35
} | 606 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/lilt/configuration_lilt.py/0 | {
"file_path": "transformers/src/transformers/models/lilt/configuration_lilt.py",
"repo_id": "transformers",
"token_count": 2571
} | 650 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/agent/runner/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/runner/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,504 |
[build-system]
build-backend = "poetry.core.masonry.api"
requires = ["poetry-core"]
[tool.codespell]
check-filenames = true
check-hidden = true
skip = "*.csv,*.html,*.json,*.jsonl,*.pdf,*.txt,*.ipynb"
[tool.llamahub]
classes = ["ZephyrQueryEnginePack"]
contains_example = false
import_path = "llama_index.packs.zephyr_... | llama_index/llama-index-packs/llama-index-packs-zephyr-query-engine/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-zephyr-query-engine/pyproject.toml",
"repo_id": "llama_index",
"token_count": 760
} | 1,697 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-singlestoredb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,621 |
build_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_070/sift_50m_1024_128_l2_sq8h_wal
cache_config.cpu_cache_capacity: 32
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
... | milvus/tests/benchmark/milvus_benchmark/suites/cpu_build_performance.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/cpu_build_performance.yaml",
"repo_id": "milvus",
"token_count": 313
} | 1,871 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-file/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,354 |
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.retrievers.pathway.base import PathwayRetriever
def test_class():
names_of_base_classes = [b.__name__ for b in PathwayRetriever.__mro__]
assert BaseRetriever.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/retrievers/llama-index-retrievers-pathway/tests/test_retrievers_pathway_retriever.py/0 | {
"file_path": "llama_index/llama-index-integrations/retrievers/llama-index-retrievers-pathway/tests/test_retrievers_pathway_retriever.py",
"repo_id": "llama_index",
"token_count": 102
} | 1,409 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-ionic-shopping/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-ionic-shopping/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,427 |
import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils.layers im... | text-generation-inference/server/text_generation_server/models/custom_modeling/flash_phi_modeling.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/custom_modeling/flash_phi_modeling.py",
"repo_id": "text-generation-inference",
"token_count": 6560
} | 414 |
import logging
import langsmith
import streamlit as st
from langchain import callbacks, chat_models
from langchain.prompts import ChatPromptTemplate
logging.basicConfig(level=logging.INFO)
st.set_page_config(
page_title="LangSmith Trace Tutor",
page_icon="🦜",
initial_sidebar_state="collapsed",
)
"""# Us... | langsmith-cookbook/tracing-examples/show-trace-url-streamlit/main.py/0 | {
"file_path": "langsmith-cookbook/tracing-examples/show-trace-url-streamlit/main.py",
"repo_id": "langsmith-cookbook",
"token_count": 682
} | 1,141 |
# 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/models/marian/convert_marian_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/marian/convert_marian_to_pytorch.py",
"repo_id": "transformers",
"token_count": 12637
} | 687 |
<!--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/ko/installation.md/0 | {
"file_path": "diffusers/docs/source/ko/installation.md",
"repo_id": "diffusers",
"token_count": 3687
} | 192 |
import time
import os
from datetime import timedelta
from loguru import logger
from pathlib import Path
from typing import Optional, List
from huggingface_hub import file_download, hf_api, HfApi, hf_hub_download
from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE
from huggingface_hub.utils import (
LocalE... | text-generation-inference/server/text_generation_server/utils/hub.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/hub.py",
"repo_id": "text-generation-inference",
"token_count": 3435
} | 402 |
import { ChatMinimax } from "@langchain/community/chat_models/minimax";
import { HumanMessage } from "@langchain/core/messages";
// Use abab5.5
const abab5_5 = new ChatMinimax({
modelName: "abab5.5-chat",
botSetting: [
{
bot_name: "MM Assistant",
content: "MM Assistant is an AI Assistant developed ... | langchainjs/examples/src/models/chat/integration_minimax.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/integration_minimax.ts",
"repo_id": "langchainjs",
"token_count": 512
} | 867 |
<!--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/pt/index.md/0 | {
"file_path": "diffusers/docs/source/pt/index.md",
"repo_id": "diffusers",
"token_count": 1653
} | 201 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | accelerate/docs/source/index.md/0 | {
"file_path": "accelerate/docs/source/index.md",
"repo_id": "accelerate",
"token_count": 1371
} | 3 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | transformers/examples/pytorch/image-pretraining/run_mim.py/0 | {
"file_path": "transformers/examples/pytorch/image-pretraining/run_mim.py",
"repo_id": "transformers",
"token_count": 8028
} | 524 |
# Quick Tour
The easiest way of getting started is using the official Docker container. Install Docker following [their installation instructions](https://docs.docker.com/get-docker/).
Let's say you want to deploy [Falcon-7B Instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) model with TGI. Here is an exampl... | text-generation-inference/docs/source/quicktour.md/0 | {
"file_path": "text-generation-inference/docs/source/quicktour.md",
"repo_id": "text-generation-inference",
"token_count": 1205
} | 361 |
# coding=utf-8
# Copyright 2023 The Pop2Piano Authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/license... | transformers/src/transformers/models/pop2piano/modeling_pop2piano.py/0 | {
"file_path": "transformers/src/transformers/models/pop2piano/modeling_pop2piano.py",
"repo_id": "transformers",
"token_count": 28646
} | 682 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/scripts/convert_stable_diffusion_checkpoint_to_onnx.py/0 | {
"file_path": "diffusers/scripts/convert_stable_diffusion_checkpoint_to_onnx.py",
"repo_id": "diffusers",
"token_count": 4384
} | 218 |
import os
import random
import tempfile
import unittest
import numpy as np
import pandas as pd
import pyarrow as pa
import pytest
from absl.testing import parameterized
import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features import Array2D, Array3D, Array4D, Array5D, Value
from datasets.f... | datasets/tests/features/test_array_xd.py/0 | {
"file_path": "datasets/tests/features/test_array_xd.py",
"repo_id": "datasets",
"token_count": 9826
} | 147 |
// 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/config/etcd_source_test.go/0 | {
"file_path": "milvus/pkg/config/etcd_source_test.go",
"repo_id": "milvus",
"token_count": 1035
} | 1,911 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/datanode/syncmgr/taskv2.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/taskv2.go",
"repo_id": "milvus",
"token_count": 2429
} | 1,980 |
# CSV files
This example goes over how to load data from CSV files. The second argument is the `column` name to extract from the CSV file. One document will be created for each row in 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 l... | langchainjs/docs/core_docs/docs/integrations/document_loaders/file_loaders/csv.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/document_loaders/file_loaders/csv.mdx",
"repo_id": "langchainjs",
"token_count": 684
} | 712 |
---
sidebar_position: 5
---
# Examples
🚧 _Docs under construction_ 🚧
Below are some examples for inspecting and checking different chains.
import DocCardList from "@theme/DocCardList";
<DocCardList /> | langchain/docs/docs/guides/evaluation/examples/index.mdx/0 | {
"file_path": "langchain/docs/docs/guides/evaluation/examples/index.mdx",
"repo_id": "langchain",
"token_count": 61
} | 93 |
# 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/docs/models/.templates/models/mnasnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/mnasnet.md",
"repo_id": "pytorch-image-models",
"token_count": 1292
} | 347 |
<jupyter_start><jupyter_text>Déboguer le pipeline d'entraînementCe chapitre portant sur le débogage, la langue nous importe peu ici. Nous nous intéressons surtout à la logique du code pour comprendre d'où provient l'erreur. Installez les bibliothèques 🤗 Transformers et 🤗 Datasets pour exécuter ce *notebook*.<jupyter_... | notebooks/course/fr/chapter8/section4.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter8/section4.ipynb",
"repo_id": "notebooks",
"token_count": 3404
} | 293 |
# Dealing with Rate Limits
Some LLM providers have rate limits. If you exceed the rate limit, you'll get an error. To help you deal with this, LangChain provides a `maxConcurrency` option when instantiating an LLM. This option allows you to specify the maximum number of concurrent requests you want to make to the LLM ... | langchainjs/docs/core_docs/docs/modules/model_io/llms/dealing_with_rate_limits.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/llms/dealing_with_rate_limits.mdx",
"repo_id": "langchainjs",
"token_count": 304
} | 817 |
import json
from types import SimpleNamespace
from typing import Any, Dict, Optional, Sequence
import requests
CLASS_QUERY = """
SELECT DISTINCT ?elem ?com
WHERE {
?instance a ?elem .
OPTIONAL { ?instance rdf:type/rdfs:subClassOf* ?elem } .
#FILTER (isIRI(?elem)) .
OPTIONAL { ?elem rdfs:comment ?com filter (lang... | langchain/libs/community/langchain_community/graphs/neptune_rdf_graph.py/0 | {
"file_path": "langchain/libs/community/langchain_community/graphs/neptune_rdf_graph.py",
"repo_id": "langchain",
"token_count": 3900
} | 263 |
# coding=utf-8
# Copyright 2023 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... | transformers/tests/models/nougat/test_image_processing_nougat.py/0 | {
"file_path": "transformers/tests/models/nougat/test_image_processing_nougat.py",
"repo_id": "transformers",
"token_count": 3133
} | 760 |
[tool.poetry]
name = "rag-chroma-multi-modal-multi-vector"
version = "0.1.0"
description = "Multi-modal RAG using Chroma and multi-vector retriever"
authors = [
"Lance Martin <lance@langchain.dev>",
]
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = ">=0.0.353,<0.2"
openai = "<2"... | langchain/templates/rag-chroma-multi-modal-multi-vector/pyproject.toml/0 | {
"file_path": "langchain/templates/rag-chroma-multi-modal-multi-vector/pyproject.toml",
"repo_id": "langchain",
"token_count": 385
} | 652 |
# coding=utf-8
# Copyright 2022 Facebook AI and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | transformers/src/transformers/models/vit_mae/configuration_vit_mae.py/0 | {
"file_path": "transformers/src/transformers/models/vit_mae/configuration_vit_mae.py",
"repo_id": "transformers",
"token_count": 2504
} | 686 |
from typing import Dict
from pytest_mock import MockerFixture
from langchain_community.embeddings import InfinityEmbeddings
_MODEL_ID = "BAAI/bge-small"
_INFINITY_BASE_URL = "https://localhost/api"
_DOCUMENTS = [
"pizza",
"another pizza",
"a document",
"another pizza",
"super long document with m... | langchain/libs/community/tests/unit_tests/embeddings/test_infinity.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/embeddings/test_infinity.py",
"repo_id": "langchain",
"token_count": 1208
} | 373 |
// 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/msg_pack.go/0 | {
"file_path": "milvus/internal/proxy/msg_pack.go",
"repo_id": "milvus",
"token_count": 3505
} | 1,746 |
use crate::utils::SysRegex;
use crate::{Offsets, Result};
use regex::Regex;
/// Pattern used to split a NormalizedString
pub trait Pattern {
/// Slice the given string in a list of pattern match positions, with
/// a boolean indicating whether this is a match or not.
///
/// This method *must* cover th... | tokenizers/tokenizers/src/tokenizer/pattern.rs/0 | {
"file_path": "tokenizers/tokenizers/src/tokenizer/pattern.rs",
"repo_id": "tokenizers",
"token_count": 3903
} | 470 |
# ruff: noqa: E501
import os
from datetime import timedelta
from langchain.chains.query_constructor.base import AttributeInfo
from langchain.retrievers.self_query.base import SelfQueryRetriever
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings.openai import OpenAIEmbeddings
fr... | langchain/templates/rag-timescale-hybrid-search-time/rag_timescale_hybrid_search_time/chain.py/0 | {
"file_path": "langchain/templates/rag-timescale-hybrid-search-time/rag_timescale_hybrid_search_time/chain.py",
"repo_id": "langchain",
"token_count": 1183
} | 674 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/llama_index/vector_stores/postgres/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-postgres/llama_index/vector_stores/postgres/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,616 |
import random
import threading
import time
from time import sleep
import pytest
import datetime
from pymilvus import connections
from base.collection_wrapper import ApiCollectionWrapper
from base.utility_wrapper import ApiUtilityWrapper
from chaos.checker import Op, CollectionCreateChecker, InsertFlushChecker, IndexC... | milvus/tests/python_client/chaos/test_chaos_memory_stress.py/0 | {
"file_path": "milvus/tests/python_client/chaos/test_chaos_memory_stress.py",
"repo_id": "milvus",
"token_count": 14033
} | 1,996 |
package datanode
import (
"testing"
"github.com/cockroachdb/errors"
"github.com/stretchr/testify/mock"
"github.com/stretchr/testify/suite"
"github.com/milvus-io/milvus/pkg/mq/msgstream"
"github.com/milvus-io/milvus/pkg/util/tsoutil"
)
type MqStatsUpdaterSuite struct {
suite.Suite
producer *msgstream.MockMs... | milvus/internal/datanode/stats_updater_test.go/0 | {
"file_path": "milvus/internal/datanode/stats_updater_test.go",
"repo_id": "milvus",
"token_count": 647
} | 1,780 |
# 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/scripts/run_docker.sh/0 | {
"file_path": "milvus/scripts/run_docker.sh",
"repo_id": "milvus",
"token_count": 582
} | 1,953 |
/**
* Formatting function definitions for calculating openai function defination token usage.
*
* https://github.com/hmarr/openai-chat-tokens/blob/main/src/functions.ts
* (c) 2023 Harry Marr
* MIT license
*/
import { FunctionDefinition } from "@azure/openai";
export interface FunctionDef extends Omit<FunctionDe... | langchainjs/libs/langchain-azure-openai/src/utils/openai-format-fndef.ts/0 | {
"file_path": "langchainjs/libs/langchain-azure-openai/src/utils/openai-format-fndef.ts",
"repo_id": "langchainjs",
"token_count": 1326
} | 1,043 |
python_tests()
| llama_index/llama-index-packs/llama-index-packs-zephyr-query-engine/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-zephyr-query-engine/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,617 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-azstorage-blob/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-azstorage-blob/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,410 |
import { dev } from "$app/environment";
import { base } from "$app/paths";
import { COOKIE_NAME } from "$env/static/private";
import { collections } from "$lib/server/database";
import { redirect } from "@sveltejs/kit";
export const actions = {
async default({ cookies, locals }) {
await collections.sessions.deleteO... | chat-ui/src/routes/logout/+page.server.ts/0 | {
"file_path": "chat-ui/src/routes/logout/+page.server.ts",
"repo_id": "chat-ui",
"token_count": 203
} | 104 |
[tool.poetry]
name = "rag-self-query"
version = "0.0.1"
description = "RAG with metadata filtering using self-query retriever on Elasticsearch vector store"
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = "^0.1"
openai = "<2"
elasticsearch = "^8.10.0"
sentence-transform... | langchain/templates/rag-self-query/pyproject.toml/0 | {
"file_path": "langchain/templates/rag-self-query/pyproject.toml",
"repo_id": "langchain",
"token_count": 325
} | 687 |
<jupyter_start><jupyter_text>Semantic Scholar API ToolThis notebook demos how to use the semantic scholar tool with an agent.<jupyter_code># start by installing semanticscholar api
%pip install --upgrade --quiet semanticscholar
from langchain import hub
from langchain.agents import AgentExecutor, create_openai_functio... | langchain/docs/docs/integrations/tools/semanticscholar.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/semanticscholar.ipynb",
"repo_id": "langchain",
"token_count": 623
} | 178 |
# candle-distilbert
DistilBert is a distiled version of the Bert model.
## Sentence embeddings
DistilBert is used to compute the sentence embeddings for a prompt. The model weights
are downloaded from the hub on the first run.
```bash
cargo run --example distilbert --release -- --prompt "Here is a test sentence"
>... | candle/candle-examples/examples/distilbert/README.md/0 | {
"file_path": "candle/candle-examples/examples/distilbert/README.md",
"repo_id": "candle",
"token_count": 367
} | 44 |
"""Test Redis cache functionality."""
import uuid
from contextlib import asynccontextmanager, contextmanager
from typing import AsyncGenerator, Generator, List, Optional, cast
import pytest
from langchain_community.cache import AsyncRedisCache, RedisCache, RedisSemanticCache
from langchain_core.embeddings import Embe... | langchain/libs/langchain/tests/integration_tests/cache/test_redis_cache.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/cache/test_redis_cache.py",
"repo_id": "langchain",
"token_count": 4848
} | 579 |
[package]
name = "candle-kernels"
version = "0.4.0"
edition = "2021"
description = "CUDA kernels for Candle"
repository = "https://github.com/huggingface/candle"
keywords = ["blas", "tensor", "machine-learning"]
categories = ["science"]
license = "MIT OR Apache-2.0"
[dependencies]
[build-dependencies]
bindgen_cuda =... | candle/candle-kernels/Cargo.toml/0 | {
"file_path": "candle/candle-kernels/Cargo.toml",
"repo_id": "candle",
"token_count": 126
} | 52 |
import {
SimpleChatModel,
type BaseChatModelParams,
} from "@langchain/core/language_models/chat_models";
import type { BaseLanguageModelCallOptions } from "@langchain/core/language_models/base";
import {
AIMessageChunk,
BaseMessage,
ChatMessage,
} from "@langchain/core/messages";
import { ChatGenerationChunk... | langchainjs/libs/langchain-community/src/chat_models/cloudflare_workersai.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/cloudflare_workersai.ts",
"repo_id": "langchainjs",
"token_count": 2861
} | 948 |
import json
from typing import Iterable, List
import requests
def get_response(response: requests.Response) -> List[str]:
data = json.loads(response.content)
return data["text"]
def post_http_request(
api_url: str, sampling_params: dict = {}, stream: bool = False
) -> requests.Response:
headers = {... | llama_index/llama-index-legacy/llama_index/legacy/llms/vllm_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/vllm_utils.py",
"repo_id": "llama_index",
"token_count": 279
} | 1,527 |
accuracy:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_7/sift_10m_1024_128_l2_nsg_wal
cache_config.cpu_cache_capacity: 50
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: false
gpu_... | milvus/tests/benchmark/milvus_benchmark/suites/cpu_accuracy_nsg.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/cpu_accuracy_nsg.yaml",
"repo_id": "milvus",
"token_count": 334
} | 1,880 |
"""Pathway reader."""
from typing import List, Optional, Union
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class PathwayReader(BaseReader):
"""Pathway reader.
Retrieve documents from Pathway data indexing pipeline.
Args:
host (str): The URI... | llama_index/llama-index-integrations/readers/llama-index-readers-pathway/llama_index/readers/pathway/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pathway/llama_index/readers/pathway/base.py",
"repo_id": "llama_index",
"token_count": 741
} | 1,426 |
---
tags: journal/entry, obsidian
---
No other content than the frontmatter.
| langchainjs/langchain/src/document_loaders/tests/example_data/obsidian/frontmatter.md/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/example_data/obsidian/frontmatter.md",
"repo_id": "langchainjs",
"token_count": 23
} | 970 |
"""Chains for evaluating ReAct style agents."""
from langchain.evaluation.agents.trajectory_eval_chain import TrajectoryEvalChain
__all__ = ["TrajectoryEvalChain"]
| langchain/libs/langchain/langchain/evaluation/agents/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/agents/__init__.py",
"repo_id": "langchain",
"token_count": 50
} | 527 |
<jupyter_start><jupyter_text>Datetime parserThis OutputParser can be used to parse LLM output into datetime format.<jupyter_code>from langchain.output_parsers import DatetimeOutputParser
from langchain.prompts import PromptTemplate
from langchain_openai import OpenAI
output_parser = DatetimeOutputParser()
template = ""... | langchain/docs/docs/modules/model_io/output_parsers/types/datetime.ipynb/0 | {
"file_path": "langchain/docs/docs/modules/model_io/output_parsers/types/datetime.ipynb",
"repo_id": "langchain",
"token_count": 213
} | 206 |
""" Model creation / weight loading / state_dict helpers
Hacked together by / Copyright 2020 Ross Wightman
"""
import logging
import os
from collections import OrderedDict
from typing import Any, Callable, Dict, Optional, Union
import torch
try:
import safetensors.torch
_has_safetensors = True
except ImportEr... | pytorch-image-models/timm/models/_helpers.py/0 | {
"file_path": "pytorch-image-models/timm/models/_helpers.py",
"repo_id": "pytorch-image-models",
"token_count": 2546
} | 381 |
# Copyright 2023 Mistral AI and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/mixtral/convert_mixtral_weights_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/mixtral/convert_mixtral_weights_to_hf.py",
"repo_id": "transformers",
"token_count": 3952
} | 633 |
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