text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import type { KVNamespace } from "@cloudflare/workers-types";
import {
BaseCache,
getCacheKey,
serializeGeneration,
deserializeStoredGeneration,
} from "@langchain/core/caches";
import { Generation } from "@langchain/core/outputs";
/**
* Represents a specific implementation of a caching mechanism using Cloud... | langchainjs/libs/langchain-cloudflare/src/caches.ts/0 | {
"file_path": "langchainjs/libs/langchain-cloudflare/src/caches.ts",
"repo_id": "langchainjs",
"token_count": 865
} | 945 |
"""File Management Tools."""
from langchain_community.tools.file_management.copy import CopyFileTool
from langchain_community.tools.file_management.delete import DeleteFileTool
from langchain_community.tools.file_management.file_search import FileSearchTool
from langchain_community.tools.file_management.list_dir impor... | langchain/libs/langchain/langchain/tools/file_management/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/file_management/__init__.py",
"repo_id": "langchain",
"token_count": 210
} | 586 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "llms/raycast",
});
export * from "@langchain/community/llms/raycast";
| langchainjs/langchain/src/llms/raycast.ts/0 | {
"file_path": "langchainjs/langchain/src/llms/raycast.ts",
"repo_id": "langchainjs",
"token_count": 72
} | 945 |
#!/bin/bash
# Exit immediately for non zero status
set -e
log_dir=${1:-"logs"}
array=($(docker-compose ps -a|awk 'NR == 1 {next} {print $1}'))
echo ${array[@]}
if [ ! -d $log_dir ];
then
mkdir -p $log_dir
fi
echo "export logs start"
for container in ${array[*]}
do
if [[ $container == milvus-* ]];
then
echo "e... | milvus/tests/scripts/export_log_docker.sh/0 | {
"file_path": "milvus/tests/scripts/export_log_docker.sh",
"repo_id": "milvus",
"token_count": 184
} | 2,047 |
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Chase"
given-names: "Harrison"
title: "LangChain"
date-released: 2022-10-17
url: "https://github.com/langchain-ai/langchain"
| langchain/CITATION.cff/0 | {
"file_path": "langchain/CITATION.cff",
"repo_id": "langchain",
"token_count": 86
} | 67 |
use candle::DType;
use serde::Deserialize;
pub const DTYPE: DType = DType::F32;
#[derive(Debug, Clone, Copy, PartialEq, Eq, Deserialize)]
#[serde(rename_all = "lowercase")]
pub enum PositionEmbeddingType {
Absolute,
Alibi,
}
// https://github.com/huggingface/transformers/blob/main/src/transformers/models/per... | candle/candle-transformers/src/models/persimmon.rs/0 | {
"file_path": "candle/candle-transformers/src/models/persimmon.rs",
"repo_id": "candle",
"token_count": 814
} | 73 |
{
"candidates": [
{
"content": {
"parts": [
{
"text": "1. Sock it to Me!\n2. Heel Yeah Socks\n3. Sole Mates\n4. Happy Soles\n5. Toe-tally Awesome Socks\n6. Sock Appeal\n7. Footsie Wootsies\n8. Thread Heads\n9. Sock Squad\n10. Sock-a-licious\n11. Darn Good Socks\n12. Sockcessori... | langchainjs/libs/langchain-google-common/src/tests/data/llm-1-mock.json/0 | {
"file_path": "langchainjs/libs/langchain-google-common/src/tests/data/llm-1-mock.json",
"repo_id": "langchainjs",
"token_count": 866
} | 978 |
<jupyter_start><jupyter_text>Entity Metadata ExtractionIn this demo, we use the new `EntityExtractor` to extract entities from each node, stored in metadata. The default model is `tomaarsen/span-marker-mbert-base-multinerd`, which is downloaded an run locally from [HuggingFace](https://huggingface.co/tomaarsen/span-mar... | llama_index/docs/examples/metadata_extraction/EntityExtractionClimate.ipynb/0 | {
"file_path": "llama_index/docs/examples/metadata_extraction/EntityExtractionClimate.ipynb",
"repo_id": "llama_index",
"token_count": 2020
} | 1,114 |
import { redirect, error } from "@sveltejs/kit";
import { getOIDCUserData, validateAndParseCsrfToken } from "$lib/server/auth";
import { z } from "zod";
import { base } from "$app/paths";
import { updateUser } from "./updateUser";
import { ALLOWED_USER_EMAILS } from "$env/static/private";
import JSON5 from "json5";
co... | chat-ui/src/routes/login/callback/+page.server.ts/0 | {
"file_path": "chat-ui/src/routes/login/callback/+page.server.ts",
"repo_id": "chat-ui",
"token_count": 671
} | 109 |
import { test, expect, jest } from "@jest/globals";
import * as uuid from "uuid";
import { Serialized } from "../../load/serializable.js";
import { Document } from "../../documents/document.js";
import { Run } from "../base.js";
import { HumanMessage } from "../../messages/index.js";
import { FakeTracer } from "../../u... | langchainjs/langchain-core/src/tracers/tests/tracer.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/tracers/tests/tracer.test.ts",
"repo_id": "langchainjs",
"token_count": 5254
} | 861 |
from __future__ import annotations
import logging
import uuid
from typing import Any, List, Optional, Tuple
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
from langchain_community.vectorstores.utils... | langchain/libs/community/langchain_community/vectorstores/vikngdb.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/vikngdb.py",
"repo_id": "langchain",
"token_count": 6378
} | 316 |
"""Test Google GenerativeAI API wrapper.
Note: This test must be run with the GOOGLE_API_KEY environment variable set to a
valid API key.
"""
from typing import Generator
import pytest
from langchain_core.outputs import LLMResult
from langchain_google_genai import GoogleGenerativeAI, HarmBlockThreshold, HarmC... | langchain/libs/partners/google-genai/tests/integration_tests/test_llms.py/0 | {
"file_path": "langchain/libs/partners/google-genai/tests/integration_tests/test_llms.py",
"repo_id": "langchain",
"token_count": 1307
} | 645 |
# Banana
Banana provided serverless GPU inference for AI models, including a CI/CD build pipeline and a simple Python framework (Potassium) to server your models.
This page covers how to use the [Banana](https://www.banana.dev) ecosystem within LangChain.
It is broken into two parts:
* installation and setup,
* an... | langchain/docs/docs/integrations/providers/bananadev.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/bananadev.mdx",
"repo_id": "langchain",
"token_count": 911
} | 127 |
package funcutil
import (
"testing"
"github.com/stretchr/testify/assert"
)
/*
func TestMin(t *testing.T) {
assert.Equal(t, uint(0), Min[uint]())
assert.Equal(t, uint(1), Min[uint](100, 1))
assert.Equal(t, uint(1), Min[uint](100, 1, 1000))
assert.Equal(t, uint16(0), Min[uint16]())
assert.Equal(t, uint16(1), M... | milvus/pkg/util/funcutil/aggregation_test.go/0 | {
"file_path": "milvus/pkg/util/funcutil/aggregation_test.go",
"repo_id": "milvus",
"token_count": 1899
} | 1,965 |
// An implementation of LLaMA https://github.com/facebookresearch/llama
//
// This is based on nanoGPT in a similar way to:
// https://github.com/Lightning-AI/lit-llama/blob/main/lit_llama/model.py
//
// The tokenizer config can be retrieved from:
// https://huggingface.co/hf-internal-testing/llama-tokenizer/raw/main/t... | candle/candle-examples/examples/llama_multiprocess/main.rs/0 | {
"file_path": "candle/candle-examples/examples/llama_multiprocess/main.rs",
"repo_id": "candle",
"token_count": 3470
} | 42 |
"""Test Cassandra functionality."""
import time
from typing import List, Optional, Type
from langchain_core.documents import Document
from langchain_community.vectorstores import Cassandra
from tests.integration_tests.vectorstores.fake_embeddings import (
AngularTwoDimensionalEmbeddings,
ConsistentFakeEmbeddi... | langchain/libs/community/tests/integration_tests/vectorstores/test_cassandra.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_cassandra.py",
"repo_id": "langchain",
"token_count": 2116
} | 358 |
from typing import List, Optional
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.web_base import WebBaseLoader
IFIXIT_BASE_URL = "https://www.ifixit.com/api/2.0"
class IFixitLoader(BaseLoader):... | langchain/libs/community/langchain_community/document_loaders/ifixit.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/ifixit.py",
"repo_id": "langchain",
"token_count": 3534
} | 249 |
<jupyter_start><jupyter_text><jupyter_code>%pip install llama-index-vector-stores-weaviate
%pip install llama-index-embeddings-huggingface
!pip install llama-index<jupyter_output><empty_output><jupyter_text>Advanced Ingestion PipelineIn this notebook, we implement an `IngestionPipeline` with the following features- Mon... | llama_index/docs/examples/ingestion/advanced_ingestion_pipeline.ipynb/0 | {
"file_path": "llama_index/docs/examples/ingestion/advanced_ingestion_pipeline.ipynb",
"repo_id": "llama_index",
"token_count": 1546
} | 1,063 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class OnnxStableDiffusionImg2ImgPipeline(metaclass=DummyObject):
_backends = ["torch", "transformers", "onnx"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["... | diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_torch_and_transformers_and_onnx_objects.py",
"repo_id": "diffusers",
"token_count": 1270
} | 244 |
"""Multi Modal Vector Store Index.
An index that is built on top of multiple vector stores for different modalities.
"""
import logging
from typing import Any, List, Optional, Sequence, cast
from llama_index.legacy.core.base_query_engine import BaseQueryEngine
from llama_index.legacy.core.base_retriever import Base... | llama_index/llama-index-legacy/llama_index/legacy/indices/multi_modal/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/indices/multi_modal/base.py",
"repo_id": "llama_index",
"token_count": 7257
} | 1,567 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LI... | alignment-handbook/scripts/run_dpo.py/0 | {
"file_path": "alignment-handbook/scripts/run_dpo.py",
"repo_id": "alignment-handbook",
"token_count": 3359
} | 20 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and i... | diffusers/src/diffusers/pipelines/pixart_alpha/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/pixart_alpha/__init__.py",
"repo_id": "diffusers",
"token_count": 519
} | 263 |
export { JsonToolkit, createJsonAgent } from "./json/json.js";
export {
RequestsToolkit,
OpenApiToolkit,
createOpenApiAgent,
} from "./openapi/openapi.js";
export {
type VectorStoreInfo,
VectorStoreToolkit,
VectorStoreRouterToolkit,
createVectorStoreAgent,
createVectorStoreRouterAgent,
} from "./vectors... | langchainjs/langchain/src/agents/toolkits/index.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/toolkits/index.ts",
"repo_id": "langchainjs",
"token_count": 237
} | 898 |
export * from "@langchain/core/utils/math";
| langchainjs/langchain/src/util/math.ts/0 | {
"file_path": "langchainjs/langchain/src/util/math.ts",
"repo_id": "langchainjs",
"token_count": 14
} | 1,000 |
# coding=utf-8
# Copyright 2021 VinAI Research 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
#
# Unless req... | transformers/src/transformers/models/bartpho/tokenization_bartpho.py/0 | {
"file_path": "transformers/src/transformers/models/bartpho/tokenization_bartpho.py",
"repo_id": "transformers",
"token_count": 6062
} | 646 |
This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).
## Getting Started
First, run the development server:
```bash
npm run dev
# or
yarn dev
# or
pnpm dev
```
Open [http://localhost:3000](http://localhost:3000... | langchainjs/environment_tests/test-exports-vercel/README.md/0 | {
"file_path": "langchainjs/environment_tests/test-exports-vercel/README.md",
"repo_id": "langchainjs",
"token_count": 530
} | 784 |
from typing import Dict, Tuple
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
Operation,
Operator,
StructuredQuery,
)
from langchain.retrievers.self_query.vectara import VectaraTranslator
DEFAULT_TRANSLATOR = VectaraTranslator()
def test_visit_comparison() -> None:
... | langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_vectara.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_vectara.py",
"repo_id": "langchain",
"token_count": 939
} | 612 |
module github.com/milvus-io/milvus/pkg
go 1.20
require (
github.com/apache/pulsar-client-go v0.6.1-0.20210728062540-29414db801a7
github.com/benesch/cgosymbolizer v0.0.0-20190515212042-bec6fe6e597b
github.com/blang/semver/v4 v4.0.0
github.com/cockroachdb/errors v1.9.1
github.com/confluentinc/confluent-kafka-go v1... | milvus/pkg/go.mod/0 | {
"file_path": "milvus/pkg/go.mod",
"repo_id": "milvus",
"token_count": 4269
} | 2,032 |
<!--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/zh/quicktour.md/0 | {
"file_path": "diffusers/docs/source/zh/quicktour.md",
"repo_id": "diffusers",
"token_count": 8423
} | 199 |
# LlamaIndex Vector_Stores Integration: Rocksetdb
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,474 |
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.embeddings.text_embeddings_inference import TextEmbeddingsInference
def test_text_inference_embedding_class():
names_of_base_classes = [b.__name__ for b in TextEmbeddingsInference.__mro__]
assert BaseEmbedding.__name__ in names_o... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/tests/test_embeddings_text_embeddings_inference.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-text-embeddings-inference/tests/test_embeddings_text_embeddings_inference.py",
"repo_id": "llama_index",
"token_count": 116
} | 1,324 |
import logging
import os
from yaml import full_load
from milvus_benchmark.chaos import utils
logger = logging.getLogger("milvus_benchmark.chaos.base")
class BaseChaos(object):
cur_path = os.path.abspath(os.path.dirname(__file__))
def __init__(self, api_version, kind, metadata, spec):
self.api_versio... | milvus/tests/benchmark/milvus_benchmark/chaos/chaos_mesh.py/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/chaos/chaos_mesh.py",
"repo_id": "milvus",
"token_count": 1044
} | 1,988 |
from langchain_community.document_loaders.apify_dataset import ApifyDatasetLoader
__all__ = ["ApifyDatasetLoader"]
| langchain/libs/langchain/langchain/document_loaders/apify_dataset.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/apify_dataset.py",
"repo_id": "langchain",
"token_count": 39
} | 508 |
[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 = ["OpenAI"]
contains_example = false
import_path = "llama_index.llms.openai"
[tool.mypy]
di... | llama_index/llama-index-integrations/llms/llama-index-llms-openai/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openai/pyproject.toml",
"repo_id": "llama_index",
"token_count": 632
} | 1,294 |
<jupyter_start><jupyter_text>Google Cloud Storage File>[Google Cloud Storage](https://en.wikipedia.org/wiki/Google_Cloud_Storage) is a managed service for storing unstructured data.This covers how to load document objects from an `Google Cloud Storage (GCS) file object (blob)`.<jupyter_code>%pip install --upgrade --qui... | langchain/docs/docs/integrations/document_loaders/google_cloud_storage_file.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/google_cloud_storage_file.ipynb",
"repo_id": "langchain",
"token_count": 435
} | 104 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-bagel/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-bagel/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,340 |
# coding=utf-8
# Copyright 2022 Google 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.... | transformers/src/transformers/models/audio_spectrogram_transformer/configuration_audio_spectrogram_transformer.py/0 | {
"file_path": "transformers/src/transformers/models/audio_spectrogram_transformer/configuration_audio_spectrogram_transformer.py",
"repo_id": "transformers",
"token_count": 2129
} | 580 |
# flake8: noqa
from langchain_community.graphs.networkx_graph import KG_TRIPLE_DELIMITER
from langchain_core.prompts.prompt import PromptTemplate
_DEFAULT_KNOWLEDGE_TRIPLE_EXTRACTION_TEMPLATE = (
"You are a networked intelligence helping a human track knowledge triples"
" about all relevant people, things, co... | langchain/libs/langchain/langchain/indexes/prompts/knowledge_triplet_extraction.py/0 | {
"file_path": "langchain/libs/langchain/langchain/indexes/prompts/knowledge_triplet_extraction.py",
"repo_id": "langchain",
"token_count": 612
} | 533 |
# coding=utf-8
# Copyright 2021 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/vision_encoder_decoder/modeling_flax_vision_encoder_decoder.py/0 | {
"file_path": "transformers/src/transformers/models/vision_encoder_decoder/modeling_flax_vision_encoder_decoder.py",
"repo_id": "transformers",
"token_count": 17497
} | 745 |
[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 = ["AzureOpenAIMultiModal"]
contains_example = false
import_path = "llama_index.multi_modal_l... | llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-azure-openai/pyproject.toml",
"repo_id": "llama_index",
"token_count": 710
} | 1,245 |
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.embeddings.clip import ClipEmbedding
def test_azure_openai_embedding_class():
names_of_base_classes = [b.__name__ for b in ClipEmbedding.__mro__]
assert BaseEmbedding.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clip/tests/test_embeddings_clip.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-clip/tests/test_embeddings_clip.py",
"repo_id": "llama_index",
"token_count": 106
} | 1,193 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/fuyu/test_modeling_fuyu.py/0 | {
"file_path": "transformers/tests/models/fuyu/test_modeling_fuyu.py",
"repo_id": "transformers",
"token_count": 6740
} | 715 |
# (Legacy) 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.
## How do I use this mod... | pytorch-image-models/docs/models/legacy-se-resnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/legacy-se-resnet.md",
"repo_id": "pytorch-image-models",
"token_count": 3698
} | 366 |
from dataclasses import dataclass, field
from typing import List, Optional
from ..core import flatten_dict
@dataclass
class ModelConfig:
"""
Arguments which define the model and tokenizer to load.
"""
model_name_or_path: Optional[str] = field(
default=None,
metadata={"help": ("The mo... | trl/trl/trainer/model_config.py/0 | {
"file_path": "trl/trl/trainer/model_config.py",
"repo_id": "trl",
"token_count": 1246
} | 827 |
# Advanced Cuda usage
| candle/candle-book/src/cuda/README.md/0 | {
"file_path": "candle/candle-book/src/cuda/README.md",
"repo_id": "candle",
"token_count": 6
} | 27 |
<jupyter_start><jupyter_text>Embedding Documents using Optimized and Quantized EmbeddersEmbedding all documents using Quantized Embedders.The embedders are based on optimized models, created by using [optimum-intel](https://github.com/huggingface/optimum-intel.git) and [IPEX](https://github.com/intel/intel-extension-fo... | langchain/docs/docs/integrations/text_embedding/optimum_intel.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/text_embedding/optimum_intel.ipynb",
"repo_id": "langchain",
"token_count": 671
} | 175 |
{
"editor.formatOnSave": true,
"editor.defaultFormatter": "esbenp.prettier-vscode",
"editor.codeActionsOnSave": {
"source.fixAll": "explicit"
},
"eslint.validate": ["javascript", "svelte"]
}
| chat-ui/.vscode/settings.json/0 | {
"file_path": "chat-ui/.vscode/settings.json",
"repo_id": "chat-ui",
"token_count": 83
} | 83 |
# 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/blip_2/test_processor_blip_2.py/0 | {
"file_path": "transformers/tests/models/blip_2/test_processor_blip_2.py",
"repo_id": "transformers",
"token_count": 2156
} | 772 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-slack/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-slack/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,523 |
from langchain_community.embeddings.aleph_alpha import (
AlephAlphaAsymmetricSemanticEmbedding,
AlephAlphaSymmetricSemanticEmbedding,
)
__all__ = [
"AlephAlphaAsymmetricSemanticEmbedding",
"AlephAlphaSymmetricSemanticEmbedding",
]
| langchain/libs/langchain/langchain/embeddings/aleph_alpha.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/aleph_alpha.py",
"repo_id": "langchain",
"token_count": 94
} | 495 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/common/Exception.h/0 | {
"file_path": "milvus/internal/core/src/common/Exception.h",
"repo_id": "milvus",
"token_count": 1872
} | 1,653 |
from langchain_community.document_loaders.parsers.audio import OpenAIWhisperParser
from langchain_community.document_loaders.parsers.docai import DocAIParser
from langchain_community.document_loaders.parsers.grobid import GrobidParser
from langchain_community.document_loaders.parsers.html import BS4HTMLParser
from lang... | langchain/libs/langchain/langchain/document_loaders/parsers/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/parsers/__init__.py",
"repo_id": "langchain",
"token_count": 289
} | 520 |
import inspect
import os
from argparse import ArgumentParser
import numpy as np
import torch
from muse import MaskGiTUViT, VQGANModel
from muse import PipelineMuse as OldPipelineMuse
from transformers import CLIPTextModelWithProjection, CLIPTokenizer
from diffusers import VQModel
from diffusers.models.attention_proce... | diffusers/scripts/convert_amused.py/0 | {
"file_path": "diffusers/scripts/convert_amused.py",
"repo_id": "diffusers",
"token_count": 12883
} | 216 |
# Conversation Buffer
This notebook shows how to use `ConversationBufferMemory`. This memory allows for storing messages and then extracts the messages in a variable.
We can first extract it as a string.
```python
from langchain.memory import ConversationBufferMemory
```
```python
memory = ConversationBufferMemory... | langchain/docs/docs/modules/memory/types/buffer.mdx/0 | {
"file_path": "langchain/docs/docs/modules/memory/types/buffer.mdx",
"repo_id": "langchain",
"token_count": 1138
} | 195 |
<jupyter_start><jupyter_text>PubMed>[PubMed®](https://pubmed.ncbi.nlm.nih.gov/) by `The National Center for Biotechnology Information, National Library of Medicine` comprises more than 35 million citations for biomedical literature from `MEDLINE`, life science journals, and online books. Citations may include links to ... | langchain/docs/docs/integrations/document_loaders/pubmed.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/pubmed.ipynb",
"repo_id": "langchain",
"token_count": 162
} | 120 |
# coding=utf-8
# Copyright 2022 The Salesforce authors, 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/l... | transformers/src/transformers/models/codegen/tokenization_codegen_fast.py/0 | {
"file_path": "transformers/src/transformers/models/codegen/tokenization_codegen_fast.py",
"repo_id": "transformers",
"token_count": 4249
} | 661 |
from langchain_community.document_loaders.weather import WeatherDataLoader
__all__ = ["WeatherDataLoader"]
| langchain/libs/langchain/langchain/document_loaders/weather.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/weather.py",
"repo_id": "langchain",
"token_count": 28
} | 519 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/blip_2/test_modeling_blip_2.py/0 | {
"file_path": "transformers/tests/models/blip_2/test_modeling_blip_2.py",
"repo_id": "transformers",
"token_count": 17529
} | 786 |
from langchain_community.document_loaders.bilibili import BiliBiliLoader
__all__ = ["BiliBiliLoader"]
| langchain/libs/langchain/langchain/document_loaders/bilibili.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/bilibili.py",
"repo_id": "langchain",
"token_count": 34
} | 523 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package sessionutil
import (
context "context"
semver "github.com/blang/semver/v4"
mock "github.com/stretchr/testify/mock"
time "time"
)
// MockSession is an autogenerated mock type for the SessionInterface type
type MockSession struct {
mock.Mock
}
type Moc... | milvus/internal/util/sessionutil/mock_session.go/0 | {
"file_path": "milvus/internal/util/sessionutil/mock_session.go",
"repo_id": "milvus",
"token_count": 10670
} | 1,944 |
from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException
__all__ = ["ChatLiteLLM", "ChatLiteLLMException"]
| langchain/libs/langchain/langchain/chat_models/litellm.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chat_models/litellm.py",
"repo_id": "langchain",
"token_count": 48
} | 505 |
// 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/dummyreq.go/0 | {
"file_path": "milvus/internal/proxy/dummyreq.go",
"repo_id": "milvus",
"token_count": 499
} | 2,015 |
from torch.nn.modules.batchnorm import BatchNorm2d
from torchvision.ops.misc import FrozenBatchNorm2d
import timm
from timm.utils.model import freeze, unfreeze
def test_freeze_unfreeze():
model = timm.create_model('resnet18')
# Freeze all
freeze(model)
# Check top level module
assert model.fc.we... | pytorch-image-models/tests/test_utils.py/0 | {
"file_path": "pytorch-image-models/tests/test_utils.py",
"repo_id": "pytorch-image-models",
"token_count": 776
} | 337 |
import copy
import os
from pathlib import Path
from typing import List
from unittest.mock import patch
import fsspec
import pytest
from fsspec.registry import _registry as _fsspec_registry
from fsspec.spec import AbstractFileSystem
from datasets.data_files import (
DataFilesDict,
DataFilesList,
DataFilesP... | datasets/tests/test_data_files.py/0 | {
"file_path": "datasets/tests/test_data_files.py",
"repo_id": "datasets",
"token_count": 12239
} | 150 |
import { Client } from "typesense";
import { Document } from "@langchain/core/documents";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { Typesense } from "../typesense.js";
test("documentsToTypesenseRecords should return the correct typesense records", async () => {
const embeddings = new F... | langchainjs/libs/langchain-community/src/vectorstores/tests/typesense.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/typesense.test.ts",
"repo_id": "langchainjs",
"token_count": 1308
} | 1,011 |
<!--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/api/loaders/unet.md/0 | {
"file_path": "diffusers/docs/source/en/api/loaders/unet.md",
"repo_id": "diffusers",
"token_count": 402
} | 164 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | peft/src/peft/tuners/tuners_utils.py/0 | {
"file_path": "peft/src/peft/tuners/tuners_utils.py",
"repo_id": "peft",
"token_count": 11219
} | 322 |
# Feishu Doc Loader
This loader takes in IDs of Feishu Docs and parses their text into `documents`. You can extract a Feishu Doc's ID directly from its URL. For example, the ID of `https://test-csl481dfkgqf.feishu.cn/docx/HIH2dHv21ox9kVxjRuwc1W0jnkf` is `HIH2dHv21ox9kVxjRuwc1W0jnkf`. As a prerequisite, you will need t... | llama_index/llama-index-integrations/readers/llama-index-readers-feishu-docs/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-feishu-docs/README.md",
"repo_id": "llama_index",
"token_count": 483
} | 1,344 |
import { expect, test } from "@jest/globals";
import { PlaywrightWebBaseLoader } from "../web/playwright.js";
test("Test playwright web scraper loader", async () => {
const loader = new PlaywrightWebBaseLoader("https://www.google.com/");
const result = await loader.load();
expect(result).toBeDefined();
expect... | langchainjs/langchain/src/document_loaders/tests/playwright_web.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/playwright_web.int.test.ts",
"repo_id": "langchainjs",
"token_count": 312
} | 881 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/examples/community/pipeline_prompt2prompt.py/0 | {
"file_path": "diffusers/examples/community/pipeline_prompt2prompt.py",
"repo_id": "diffusers",
"token_count": 17443
} | 200 |
# Install example requirements
pip install -r ../requirements.txt
# Download glue data
python3 ../../utils/download_glue_data.py
export TASK=mrpc
export DATA_DIR=./glue_data/MRPC/
export MAX_LENGTH=128
export LEARNING_RATE=2e-5
export BERT_MODEL=bert-base-cased
export BATCH_SIZE=32
export NUM_EPOCHS=3
export SEED=2
e... | transformers/examples/legacy/pytorch-lightning/run_glue.sh/0 | {
"file_path": "transformers/examples/legacy/pytorch-lightning/run_glue.sh",
"repo_id": "transformers",
"token_count": 360
} | 578 |
pub(crate) mod config;
pub(crate) mod sysdb;
| chroma/rust/worker/src/sysdb/mod.rs/0 | {
"file_path": "chroma/rust/worker/src/sysdb/mod.rs",
"repo_id": "chroma",
"token_count": 19
} | 60 |
# this is the process of uploading the updated models to s3. As I can't upload them directly to the correct orgs, this script shows how this is done
# 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 comp... | transformers/scripts/fsmt/s3-move.sh/0 | {
"file_path": "transformers/scripts/fsmt/s3-move.sh",
"repo_id": "transformers",
"token_count": 2133
} | 554 |
# CIP-5: Large Batch Handling Improvements Proposal
## Status
Current Status: `Under Discussion`
## **Motivation**
As users start putting Chroma in its paces and storing ever-increasing datasets, we must ensure that errors
related to significant and potentially expensive batches are handled gracefully. This CIP pro... | chroma/docs/CIP_5_Large_Batch_Handling_Improvements.md/0 | {
"file_path": "chroma/docs/CIP_5_Large_Batch_Handling_Improvements.md",
"repo_id": "chroma",
"token_count": 749
} | 37 |
"""Notion tool spec."""
from typing import Any, Dict, List, Optional, Type
import requests
from llama_index.legacy.bridge.pydantic import BaseModel
from llama_index.legacy.readers.notion import NotionPageReader
from llama_index.legacy.tools.tool_spec.base import SPEC_FUNCTION_TYPE, BaseToolSpec
SEARCH_URL = "https:... | llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/notion/base.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/notion/base.py",
"repo_id": "llama_index",
"token_count": 1334
} | 1,543 |
from typing import Any, Callable, Dict, Optional, Sequence
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.core.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
Co... | llama_index/llama-index-legacy/llama_index/legacy/llms/sagemaker_llm_endpoint.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/sagemaker_llm_endpoint.py",
"repo_id": "llama_index",
"token_count": 4060
} | 1,579 |
export * from "@langchain/core/memory";
export { getBufferString } from "@langchain/core/messages";
| langchainjs/langchain/src/memory/base.ts/0 | {
"file_path": "langchainjs/langchain/src/memory/base.ts",
"repo_id": "langchainjs",
"token_count": 29
} | 932 |
/* eslint-disable no-instanceof/no-instanceof */
/* eslint-disable @typescript-eslint/no-explicit-any */
import {
ALL_VECTOR_METADATA,
IVectorIndexClient,
VectorIndexItem,
CreateVectorIndex,
VectorUpsertItemBatch,
VectorDeleteItemBatch,
VectorSearch,
VectorSearchAndFetchVectors,
} from "@gomomento/sdk-c... | langchainjs/libs/langchain-community/src/vectorstores/momento_vector_index.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/momento_vector_index.ts",
"repo_id": "langchainjs",
"token_count": 4653
} | 1,003 |
# Azure Cognitive Search Loader
The AzCognitiveSearchReader Loader returns a set of texts corresponding to documents retrieved from specific index of Azure Cognitive Search.
The user initializes the loader with credentials (service name and key) and the index name.
## Usage
Here's an example usage of the AzCognitive... | llama_index/llama-index-integrations/readers/llama-index-readers-azcognitive-search/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-azcognitive-search/README.md",
"repo_id": "llama_index",
"token_count": 657
} | 1,325 |
""" Optimzier Tests
These tests were adapted from PyTorch' optimizer tests.
"""
import math
import pytest
import functools
from copy import deepcopy
import torch
from torch.testing._internal.common_utils import TestCase
from torch.nn import Parameter
from timm.scheduler import PlateauLRScheduler
from timm.optim imp... | pytorch-image-models/tests/test_optim.py/0 | {
"file_path": "pytorch-image-models/tests/test_optim.py",
"repo_id": "pytorch-image-models",
"token_count": 11722
} | 325 |
// 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/metrics/querycoord_metrics.go/0 | {
"file_path": "milvus/pkg/metrics/querycoord_metrics.go",
"repo_id": "milvus",
"token_count": 1423
} | 2,091 |
"""OpenAI Finetuning."""
import logging
import os
import time
from typing import Any, Optional
import openai
from openai import OpenAI as SyncOpenAI
from openai.types.fine_tuning import FineTuningJob
from llama_index.core.llms.llm import LLM
from llama_index.finetuning.callbacks.finetuning_handler import OpenAIFineT... | llama_index/llama-index-finetuning/llama_index/finetuning/openai/base.py/0 | {
"file_path": "llama_index/llama-index-finetuning/llama_index/finetuning/openai/base.py",
"repo_id": "llama_index",
"token_count": 1750
} | 1,203 |
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/perf_train_special.md/0 | {
"file_path": "transformers/docs/source/en/perf_train_special.md",
"repo_id": "transformers",
"token_count": 933
} | 522 |
"""Chain that makes API calls and summarizes the responses to answer a question."""
| langchain/libs/langchain/langchain/chains/api/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/api/__init__.py",
"repo_id": "langchain",
"token_count": 17
} | 461 |
"""Patentsview reader that reads patent abstract."""
from typing import List
import requests
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
BASE_URL = "https://api.patentsview.org/patents/query"
class PatentsviewReader(BaseReader):
"""Patentsview reader.
R... | llama_index/llama-index-integrations/readers/llama-index-readers-patentsview/llama_index/readers/patentsview/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-patentsview/llama_index/readers/patentsview/base.py",
"repo_id": "llama_index",
"token_count": 576
} | 1,535 |
// 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/segcore/load_field_data_c.cpp/0 | {
"file_path": "milvus/internal/core/src/segcore/load_field_data_c.cpp",
"repo_id": "milvus",
"token_count": 1790
} | 1,767 |
<jupyter_start><jupyter_text>**Best-of-n sampling as an alternative to RLHF**This notebook compares reward-model scores of prompt based responses from 1. a base model (`gpt2-imdb`)2. `RLHF` tuned model based on this base-model 3. the base-model again from which we sample n responses to each prompt, score them and take ... | trl/examples/notebooks/best_of_n.ipynb/0 | {
"file_path": "trl/examples/notebooks/best_of_n.ipynb",
"repo_id": "trl",
"token_count": 1717
} | 867 |
# coding=utf-8
# Copyright 2022 Meta Platforms, Inc. 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... | transformers/src/transformers/models/mask2former/convert_mask2former_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/mask2former/convert_mask2former_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 24038
} | 710 |
<jupyter_start><jupyter_text>Single-Turn Multi-Function Calling OpenAI Agents With the latest OpenAI API (v. 1.1.0+), users can now execute multiple function calls within a single turn of `User` and `Agent` dialogue. We've updated our library to enable this new feature as well, and in this notebook we'll show you how i... | llama_index/docs/examples/agent/openai_agent_parallel_function_calling.ipynb/0 | {
"file_path": "llama_index/docs/examples/agent/openai_agent_parallel_function_calling.ipynb",
"repo_id": "llama_index",
"token_count": 1936
} | 1,047 |
# Upstash Redis
Upstash offers developers serverless databases and messaging platforms to build powerful applications without having to worry about the operational complexity of running databases at scale.
This page covers how to use [Upstash Redis](https://upstash.com/redis) with LangChain.
## Installation and Setu... | langchain/docs/docs/integrations/providers/upstash.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/upstash.mdx",
"repo_id": "langchain",
"token_count": 484
} | 151 |
# Pinecone
You can use [Pinecone](https://www.pinecone.io/) vectorstores with LangChain.
To get started, install the integration package and the official Pinecone SDK with:
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationInstallTooltip></IntegrationInstallTooltip>... | langchainjs/docs/core_docs/docs/integrations/vectorstores/pinecone.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/pinecone.mdx",
"repo_id": "langchainjs",
"token_count": 436
} | 796 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.gradient import GradientBaseModelLLM, GradientModelAdapterLLM
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in GradientModelAdapterLLM.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
names_of_base_class... | llama_index/llama-index-integrations/llms/llama-index-llms-gradient/tests/test_llms_gradient.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-gradient/tests/test_llms_gradient.py",
"repo_id": "llama_index",
"token_count": 158
} | 1,309 |
#!/usr/bin/env python
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | accelerate/src/accelerate/commands/launch.py/0 | {
"file_path": "accelerate/src/accelerate/commands/launch.py",
"repo_id": "accelerate",
"token_count": 17304
} | 14 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/mq/mqimpl/rocksmq/client/client_impl_test.go/0 | {
"file_path": "milvus/internal/mq/mqimpl/rocksmq/client/client_impl_test.go",
"repo_id": "milvus",
"token_count": 4037
} | 1,725 |
import { defineConfig } from "vite";
import react from "@vitejs/plugin-react";
// https://vitejs.dev/config/
export default defineConfig({
plugins: [react()],
server: {
watch: {
usePolling: true
},
proxy: {
"^/(assistants|threads|ingest|runs)": {
target: process.env.VITE_BACKEND_URL... | opengpts/frontend/vite.config.ts/0 | {
"file_path": "opengpts/frontend/vite.config.ts",
"repo_id": "opengpts",
"token_count": 207
} | 2,000 |
from typing import Any
from langchain_community.adapters import openai as lcopenai
def _test_no_stream(**kwargs: Any) -> None:
import openai
result = openai.ChatCompletion.create(**kwargs)
lc_result = lcopenai.ChatCompletion.create(**kwargs)
if isinstance(lc_result, dict):
if isinstance(resu... | langchain/libs/community/tests/integration_tests/adapters/test_openai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/adapters/test_openai.py",
"repo_id": "langchain",
"token_count": 1424
} | 316 |
import os
import torch
import torch.distributed
from torch import nn
from torch.nn import functional as F
from typing import List
from loguru import logger
from functools import lru_cache
HAS_BITS_AND_BYTES = True
try:
import bitsandbytes as bnb
from bitsandbytes.nn import Int8Params, Params4bit
except Import... | text-generation-inference/server/text_generation_server/utils/layers.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/utils/layers.py",
"repo_id": "text-generation-inference",
"token_count": 18427
} | 446 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/convnext/test_modeling_convnext.py/0 | {
"file_path": "transformers/tests/models/convnext/test_modeling_convnext.py",
"repo_id": "transformers",
"token_count": 4658
} | 791 |
"""Implements the ReAct paper from https://arxiv.org/pdf/2210.03629.pdf."""
| langchain/libs/langchain/langchain/agents/react/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/react/__init__.py",
"repo_id": "langchain",
"token_count": 29
} | 445 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/distilbert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/distilbert.md",
"repo_id": "transformers",
"token_count": 4619
} | 482 |
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