text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import logging
from typing import Any, Callable, Generator, Optional, Sequence, Type, cast
from llama_index.legacy.bridge.pydantic import BaseModel, Field, ValidationError
from llama_index.legacy.indices.utils import truncate_text
from llama_index.legacy.llm_predictor.base import LLMPredictorType
from llama_index.lega... | llama_index/llama-index-legacy/llama_index/legacy/response_synthesizers/refine.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/response_synthesizers/refine.py",
"repo_id": "llama_index",
"token_count": 8559
} | 1,537 |
// 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/type_c.h/0 | {
"file_path": "milvus/internal/core/src/common/type_c.h",
"repo_id": "milvus",
"token_count": 1003
} | 1,782 |
kind: StressChaos
apiVersion: chaos-mesh.org/v1alpha1
metadata:
name: test-datanode-memory-stress
namespace: chaos-testing
spec:
selector:
namespaces:
- chaos-testing
labelSelectors:
release: milvus-chaos
app: minio
mode: one
stressors:
cpu:
workers: 4
load: 80
me... | milvus/tests/python_client/chaos/chaos_objects/mem_stress/chaos_minio_mem_stress.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/mem_stress/chaos_minio_mem_stress.yaml",
"repo_id": "milvus",
"token_count": 164
} | 2,163 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-supabase/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,538 |
// 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/querycoordv2/observers/replica_observer_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/observers/replica_observer_test.go",
"repo_id": "milvus",
"token_count": 2303
} | 2,034 |
<jupyter_start><jupyter_text>Portkey**Portkey** is a full-stack LLMOps platform that productionizes your Gen AI app reliably and securely. Key Features of Portkey's Integration with Llamaindex:1. **[🚪 AI Gateway](🔁-implementing-fallbacks-and-retries-with-portkey)**: - **[Automated Fallbacks & Retries](🔁-implemen... | llama_index/docs/examples/llm/portkey.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/portkey.ipynb",
"repo_id": "llama_index",
"token_count": 5522
} | 1,064 |
<script lang="ts">
import { base } from "$app/paths";
import Logo from "$lib/components/icons/Logo.svelte";
import { switchTheme } from "$lib/switchTheme";
import { isAborted } from "$lib/stores/isAborted";
import { PUBLIC_APP_NAME, PUBLIC_ORIGIN } from "$env/static/public";
import NavConversationItem from "./Na... | chat-ui/src/lib/components/NavMenu.svelte/0 | {
"file_path": "chat-ui/src/lib/components/NavMenu.svelte",
"repo_id": "chat-ui",
"token_count": 1944
} | 84 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/pipelines/test_pipelines_translation.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_translation.py",
"repo_id": "transformers",
"token_count": 3092
} | 785 |
// 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/meta_service_test.go/0 | {
"file_path": "milvus/internal/datanode/meta_service_test.go",
"repo_id": "milvus",
"token_count": 1257
} | 1,975 |
# Memory Stress Testcases All-in-one
# memory stress
# standalone
# todo
# cluster-1-node
# 11 pods(querynode, datanode, indexnode, pulsar, etcd, minio)
# cluster-n-nodes
# todo
Collections:
-
testcase:
name: test_querynode_memory_stress
chaos: chaos_querynode_memory_s... | milvus/tests/python_client/chaos/chaos_objects/memory_stress/testcases.yaml/0 | {
"file_path": "milvus/tests/python_client/chaos/chaos_objects/memory_stress/testcases.yaml",
"repo_id": "milvus",
"token_count": 366
} | 1,988 |
""" Pooling-based Vision Transformer (PiT) in PyTorch
A PyTorch implement of Pooling-based Vision Transformers as described in
'Rethinking Spatial Dimensions of Vision Transformers' - https://arxiv.org/abs/2103.16302
This code was adapted from the original version at https://github.com/naver-ai/pit, original copyrigh... | pytorch-image-models/timm/models/pit.py/0 | {
"file_path": "pytorch-image-models/timm/models/pit.py",
"repo_id": "pytorch-image-models",
"token_count": 7347
} | 356 |
# Build and load
Nearly every deep learning workflow begins with loading a dataset, which makes it one of the most important steps. With 🤗 Datasets, there are more than 900 datasets available to help you get started with your NLP task. All you have to do is call: [`load_dataset`] to take your first step. This functio... | datasets/docs/source/about_dataset_load.mdx/0 | {
"file_path": "datasets/docs/source/about_dataset_load.mdx",
"repo_id": "datasets",
"token_count": 2537
} | 129 |
from llama_index.storage.docstore.dynamodb.base import DynamoDBDocumentStore
__all__ = ["DynamoDBDocumentStore"]
| llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-dynamodb/llama_index/storage/docstore/dynamodb/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-dynamodb/llama_index/storage/docstore/dynamodb/__init__.py",
"repo_id": "llama_index",
"token_count": 37
} | 1,452 |
[package]
name = "tokenizers-python"
version = "0.15.3-dev.0"
authors = ["Anthony MOI <m.anthony.moi@gmail.com>"]
edition = "2021"
[lib]
name = "tokenizers"
crate-type = ["cdylib"]
[dependencies]
rayon = "1.8"
serde = { version = "1.0", features = [ "rc", "derive" ]}
serde_json = "1.0"
libc = "0.2"
env_logger = "0.10... | tokenizers/bindings/python/Cargo.toml/0 | {
"file_path": "tokenizers/bindings/python/Cargo.toml",
"repo_id": "tokenizers",
"token_count": 302
} | 433 |
# 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/transformers/transformer_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/transformer_2d.py",
"repo_id": "diffusers",
"token_count": 10731
} | 237 |
from langchain_community.vectorstores.supabase import SupabaseVectorStore
__all__ = ["SupabaseVectorStore"]
| langchain/libs/langchain/langchain/vectorstores/supabase.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/supabase.py",
"repo_id": "langchain",
"token_count": 29
} | 618 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package mocks
import (
context "context"
commonpb "github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
clientv3 "go.etcd.io/etcd/client/v3"
internalpb "github.com/milvus-io/milvus/internal/proto/internalpb"
milvuspb "github.com/milvus-io/milvus-proto/go-api... | milvus/internal/mocks/mock_querycoord.go/0 | {
"file_path": "milvus/internal/mocks/mock_querycoord.go",
"repo_id": "milvus",
"token_count": 26904
} | 1,724 |
# IMSDb
>[IMSDb](https://imsdb.com/) is the `Internet Movie Script Database`.
>
## Installation and Setup
There isn't any special setup for it.
## Document Loader
See a [usage example](/docs/integrations/document_loaders/imsdb).
```python
from langchain_community.document_loaders import IMSDbLoader
```
| langchain/docs/docs/integrations/providers/imsdb.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/imsdb.mdx",
"repo_id": "langchain",
"token_count": 98
} | 138 |
from typing import Any, Iterator, List, Mapping, Optional
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from requests.exceptions import ConnectionError
from langchain_community.llms.u... | langchain/libs/community/langchain_community/llms/titan_takeoff_pro.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/titan_takeoff_pro.py",
"repo_id": "langchain",
"token_count": 3459
} | 274 |
import candle
from candle import Tensor
from candle.nn import Linear
def test_linear_layer_can_be_constructed():
linear = Linear(10, 10)
assert linear is not None
def test_linear_layer_can_forward_a_singular_input():
linear = Linear(384, 1536)
input_tensor = candle.randn((8, 384))
output = linea... | candle/candle-pyo3/tests/bindings/test_linear.py/0 | {
"file_path": "candle/candle-pyo3/tests/bindings/test_linear.py",
"repo_id": "candle",
"token_count": 431
} | 70 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/launchers.py/0 | {
"file_path": "accelerate/src/accelerate/launchers.py",
"repo_id": "accelerate",
"token_count": 4790
} | 11 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/embeddings/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/embeddings/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,508 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/util/constant.go/0 | {
"file_path": "milvus/pkg/util/constant.go",
"repo_id": "milvus",
"token_count": 2653
} | 1,833 |
# LlamaIndex Index_Store Integration: Dynamodb Index Store
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-dynamodb/README.md",
"repo_id": "llama_index",
"token_count": 15
} | 1,416 |
stability:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_10m_1024_128_l2_sq8_stability
cache_config.cpu_cache_capacity: 64GB
cache_config.cache_insert_data: true
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold:... | milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_stability.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_stability.yaml",
"repo_id": "milvus",
"token_count": 580
} | 1,866 |
# 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/attention.py/0 | {
"file_path": "diffusers/src/diffusers/models/attention.py",
"repo_id": "diffusers",
"token_count": 12724
} | 234 |
# Adapt a model to a new task
Many diffusion systems share the same components, allowing you to adapt a pretrained model for one task to an entirely different task.
This guide will show you how to adapt a pretrained text-to-image model for inpainting by initializing and modifying the architecture of a pretrained [`UN... | diffusers/docs/source/en/training/adapt_a_model.md/0 | {
"file_path": "diffusers/docs/source/en/training/adapt_a_model.md",
"repo_id": "diffusers",
"token_count": 779
} | 183 |
from langchain_community.llms.rwkv import RWKV
__all__ = ["RWKV"]
| langchain/libs/langchain/langchain/llms/rwkv.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/rwkv.py",
"repo_id": "langchain",
"token_count": 28
} | 565 |
import json
import os
from dataclasses import dataclass
import numpy as np
import pyarrow as pa
import datasets
from utils import get_duration
SPEED_TEST_N_EXAMPLES = 100_000_000_000
SPEED_TEST_CHUNK_SIZE = 10_000
RESULTS_BASEPATH, RESULTS_FILENAME = os.path.split(__file__)
RESULTS_FILE_PATH = os.path.join(RESULTS... | datasets/benchmarks/benchmark_getitem_100B.py/0 | {
"file_path": "datasets/benchmarks/benchmark_getitem_100B.py",
"repo_id": "datasets",
"token_count": 867
} | 108 |
<jupyter_start><jupyter_text>**Building an Image Similarity System with 🤗 Transformers**In this notebook, you'll learn to build an image similarity system with 🤗 Transformers. Finding out the similarity between a query image and potential candidates is an important use case for information retrieval systems, reverse ... | notebooks/examples/image_similarity.ipynb/0 | {
"file_path": "notebooks/examples/image_similarity.ipynb",
"repo_id": "notebooks",
"token_count": 8098
} | 293 |
"""Util that calls AlphaVantage for Currency Exchange Rate."""
from typing import Any, Dict, List, Optional
import requests
from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
from langchain_core.utils import get_from_dict_or_env
class AlphaVantageAPIWrapper(BaseModel):
"""Wrapper for AlphaVa... | langchain/libs/community/langchain_community/utilities/alpha_vantage.py/0 | {
"file_path": "langchain/libs/community/langchain_community/utilities/alpha_vantage.py",
"repo_id": "langchain",
"token_count": 895
} | 316 |
import { z } from "zod";
import { zodToJsonSchema, JsonSchema7ObjectType } from "zod-to-json-schema";
import { BaseChatModel } from "@langchain/core/language_models/chat_models";
import { BaseFunctionCallOptions } from "@langchain/core/language_models/base";
import { PromptTemplate } from "@langchain/core/prompts";
imp... | langchainjs/langchain/src/chains/openai_functions/extraction.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/openai_functions/extraction.ts",
"repo_id": "langchainjs",
"token_count": 974
} | 852 |
//! MobileOne inference implementation based on timm and candle-repvgg
//!
//! See "MobileOne: An Improved One millisecond Mobile Backbone"
//! https://arxiv.org/abs/2206.04040
use candle::{DType, Result, Tensor, D};
use candle_nn::{
batch_norm, conv2d, conv2d_no_bias, linear, ops::sigmoid, BatchNorm, Conv2d, Conv... | candle/candle-transformers/src/models/mobileone.rs/0 | {
"file_path": "candle/candle-transformers/src/models/mobileone.rs",
"repo_id": "candle",
"token_count": 4721
} | 79 |
import struct
import zlib
from pathlib import Path
from typing import Any, Dict, List, Optional
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class HWPReader(BaseReader):
"""Hwp Reader. Reads contents from Hwp file.
Args: None.
"""
def __init__(sel... | llama_index/llama-index-integrations/readers/llama-index-readers-hwp/llama_index/readers/hwp/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hwp/llama_index/readers/hwp/base.py",
"repo_id": "llama_index",
"token_count": 1510
} | 1,509 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_flax_available,
is_k_diffusion_available,
is_k_diffusion_version,
is_onnx_available,
is_torch_available,
is_transformers_availa... | diffusers/src/diffusers/pipelines/stable_diffusion/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/__init__.py",
"repo_id": "diffusers",
"token_count": 3769
} | 256 |
python_sources()
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/readability_web/BUILD",
"repo_id": "llama_index",
"token_count": 24
} | 1,540 |
<jupyter_start><jupyter_text>Azure AI Document Intelligence >[Azure AI Document Intelligence](https://aka.ms/doc-intelligence) (formerly known as `Azure Form Recognizer`) is machine-learning >based service that extracts text (including handwriting), tables or key-value-pairs from>scanned documents or images.>>Document ... | langchain/docs/docs/integrations/document_loaders/azure_document_intelligence.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/azure_document_intelligence.ipynb",
"repo_id": "langchain",
"token_count": 660
} | 108 |
#!/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/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py/0 | {
"file_path": "diffusers/examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py",
"repo_id": "diffusers",
"token_count": 37748
} | 195 |
import { SequentialChain, LLMChain } from "langchain/chains";
import { OpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
// This is an LLMChain to write a synopsis given a title of a play and the era it is set in.
const llm = new OpenAI({ temperature: 0 });
const template = `... | langchainjs/examples/src/chains/sequential_chain.ts/0 | {
"file_path": "langchainjs/examples/src/chains/sequential_chain.ts",
"repo_id": "langchainjs",
"token_count": 967
} | 823 |
"""Chain that makes API calls and summarizes the responses to answer a question."""
from __future__ import annotations
from typing import Any, Dict, List, Optional, Sequence, Tuple
from urllib.parse import urlparse
from langchain_community.utilities.requests import TextRequestsWrapper
from langchain_core.callbacks im... | langchain/libs/langchain/langchain/chains/api/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/api/base.py",
"repo_id": "langchain",
"token_count": 3757
} | 453 |
# Copyright 2024 Bingxin Ke, ETH Zurich and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | diffusers/examples/community/marigold_depth_estimation.py/0 | {
"file_path": "diffusers/examples/community/marigold_depth_estimation.py",
"repo_id": "diffusers",
"token_count": 10828
} | 206 |
# Llama Guard Moderator Pack
This pack is to utilize [Llama Guard](https://huggingface.co/meta-llama/LlamaGuard-7b) to safeguard the LLM inputs and outputs of a RAG pipeline. Llama Guard is an input-output safeguard model. It can be used for classifying content in both LLM inputs (prompt classification) and LLM respon... | llama_index/llama-index-packs/llama-index-packs-llama-guard-moderator/README.md/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llama-guard-moderator/README.md",
"repo_id": "llama_index",
"token_count": 3545
} | 1,661 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-apify/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-apify/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,318 |
from llama_index.llms.llama_api.base import LlamaAPI
__all__ = ["LlamaAPI"]
| llama_index/llama-index-integrations/llms/llama-index-llms-llama-api/llama_index/llms/llama_api/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-llama-api/llama_index/llms/llama_api/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,264 |
import * as uuid from "uuid";
import { EmbeddingsInterface } from "@langchain/core/embeddings";
import { VectorStore } from "@langchain/core/vectorstores";
import { Index as UpstashIndex } from "@upstash/vector";
import { Document, DocumentInterface } from "@langchain/core/documents";
import { chunkArray } from "@langc... | langchainjs/libs/langchain-community/src/vectorstores/upstash.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/upstash.ts",
"repo_id": "langchainjs",
"token_count": 2608
} | 1,031 |
package meta
import (
"fmt"
"github.com/golang/protobuf/proto"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/cmd/tools/migration/legacy"
"github.com/milvus-io/milvus/cmd/tools/migration/legacy/legacypb"
"github.com/milvus-io/milvus/internal/metastore/kv/rootcoord"
"github... | milvus/cmd/tools/migration/meta/meta210.go/0 | {
"file_path": "milvus/cmd/tools/migration/meta/meta210.go",
"repo_id": "milvus",
"token_count": 3459
} | 1,725 |
# EfficientNet
**EfficientNet** is a convolutional neural network architecture and scaling method that uniformly scales all dimensions of depth/width/resolution using a *compound coefficient*. Unlike conventional practice that arbitrary scales these factors, the EfficientNet scaling method uniformly scales network wi... | pytorch-image-models/docs/models/.templates/models/efficientnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/efficientnet.md",
"repo_id": "pytorch-image-models",
"token_count": 4091
} | 356 |
# `tokenizers-linux-arm-gnueabihf`
This is the **armv7-unknown-linux-gnueabihf** binary for `tokenizers`
| tokenizers/bindings/node/npm/linux-arm-gnueabihf/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/linux-arm-gnueabihf/README.md",
"repo_id": "tokenizers",
"token_count": 42
} | 414 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/sew.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/sew.md",
"repo_id": "transformers",
"token_count": 712
} | 517 |
"""Test OllamaFunctions"""
import unittest
from langchain_community.chat_models.ollama import ChatOllama
from langchain_experimental.llms.ollama_functions import OllamaFunctions
class TestOllamaFunctions(unittest.TestCase):
"""
Test OllamaFunctions
"""
def test_default_ollama_functions(self) -> No... | langchain/libs/experimental/tests/integration_tests/llms/test_ollama_functions.py/0 | {
"file_path": "langchain/libs/experimental/tests/integration_tests/llms/test_ollama_functions.py",
"repo_id": "langchain",
"token_count": 924
} | 452 |
<jupyter_start><jupyter_text>Recursive URLWe may want to process load all URLs under a root directory.For example, let's look at the [Python 3.9 Document](https://docs.python.org/3.9/).This has many interesting child pages that we may want to read in bulk.Of course, the `WebBaseLoader` can load a list of pages. But, th... | langchain/docs/docs/integrations/document_loaders/recursive_url.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/recursive_url.ipynb",
"repo_id": "langchain",
"token_count": 692
} | 105 |
use super::{super::OrderedVocabIter, WordLevel, WordLevelBuilder};
use serde::{
de::{MapAccess, Visitor},
ser::SerializeStruct,
Deserialize, Deserializer, Serialize, Serializer,
};
use std::collections::HashSet;
impl Serialize for WordLevel {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Er... | tokenizers/tokenizers/src/models/wordlevel/serialization.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/wordlevel/serialization.rs",
"repo_id": "tokenizers",
"token_count": 2084
} | 431 |
# 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/yolos/test_modeling_yolos.py/0 | {
"file_path": "transformers/tests/models/yolos/test_modeling_yolos.py",
"repo_id": "transformers",
"token_count": 6777
} | 759 |
<jupyter_start><jupyter_text>QA using Activeloop's DeepLakeIn this tutorial, we are going to use Langchain + Activeloop's Deep Lake with GPT4 to semantically search and ask questions over a group chat.View a working demo [here](https://twitter.com/thisissukh_/status/1647223328363679745) 1. Install required packages<ju... | langchain/cookbook/deeplake_semantic_search_over_chat.ipynb/0 | {
"file_path": "langchain/cookbook/deeplake_semantic_search_over_chat.ipynb",
"repo_id": "langchain",
"token_count": 1610
} | 76 |
import { test, expect } from "@jest/globals";
import { difference, intersection, union } from "../set.js";
test("difference", () => {
const set1 = new Set(["a", "b"]);
const set2 = new Set(["b", "c"]);
const resultSet = difference(set1, set2);
expect(resultSet).toMatchInlineSnapshot(`
Set {
"a",... | langchainjs/langchain/src/util/tests/set.test.ts/0 | {
"file_path": "langchainjs/langchain/src/util/tests/set.test.ts",
"repo_id": "langchainjs",
"token_count": 399
} | 948 |
# Agentic strategies
You can build agents on top of your existing LlamaIndex RAG pipeline to empower it with automated decision capabilities.
A lot of modules (routing, query transformations, and more) are already agentic in nature in that they use LLMs for decision making.
## Simpler Agentic Strategies
These includ... | llama_index/docs/optimizing/agentic_strategies/agentic_strategies.md/0 | {
"file_path": "llama_index/docs/optimizing/agentic_strategies/agentic_strategies.md",
"repo_id": "llama_index",
"token_count": 443
} | 1,163 |
# 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/deformable_detr/test_modeling_deformable_detr.py/0 | {
"file_path": "transformers/tests/models/deformable_detr/test_modeling_deformable_detr.py",
"repo_id": "transformers",
"token_count": 14410
} | 756 |
import unittest
import pytest
from langchain_community.document_loaders.parsers.language.lua import LuaSegmenter
@pytest.mark.requires("tree_sitter", "tree_sitter_languages")
class TestLuaSegmenter(unittest.TestCase):
def setUp(self) -> None:
self.example_code = """function F()
print("Hello")
end
l... | langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_lua.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/parsers/language/test_lua.py",
"repo_id": "langchain",
"token_count": 820
} | 365 |
locust_insert_performance:
collections:
-
server:
cache_config.cpu_cache_capacity: 8GB
cache_config.insert_buffer_size: 2GB
engine_config.use_blas_threshold: 1100
engine_config.gpu_search_threshold: 1
gpu_resource_config.enable: true
gpu_resource_config.cache... | milvus/tests/benchmark/milvus_benchmark/suites/locust_insert.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/locust_insert.yaml",
"repo_id": "milvus",
"token_count": 328
} | 2,154 |
import type {
createCluster,
createClient,
RediSearchSchema,
SearchOptions,
} from "redis";
import { SchemaFieldTypes, VectorAlgorithms } from "redis";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { VectorStore } from "@langchain/core/vectorstores";
import { Document } from "@la... | langchainjs/libs/langchain-community/src/vectorstores/redis.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/redis.ts",
"repo_id": "langchainjs",
"token_count": 5106
} | 994 |
// 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/querycoordv2/checkers/controller_base_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/checkers/controller_base_test.go",
"repo_id": "milvus",
"token_count": 1426
} | 1,893 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | trl/trl/trainer/ppo_trainer.py/0 | {
"file_path": "trl/trl/trainer/ppo_trainer.py",
"repo_id": "trl",
"token_count": 29303
} | 788 |
# coding=utf-8
# Copyright 2022 The Trajectory Transformers paper 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://ww... | transformers/src/transformers/models/deprecated/trajectory_transformer/convert_trajectory_transformer_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/deprecated/trajectory_transformer/convert_trajectory_transformer_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1099
} | 647 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | transformers/src/transformers/tools/translation.py/0 | {
"file_path": "transformers/src/transformers/tools/translation.py",
"repo_id": "transformers",
"token_count": 4126
} | 754 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/models/plbart/test_tokenization_plbart.py/0 | {
"file_path": "transformers/tests/models/plbart/test_tokenization_plbart.py",
"repo_id": "transformers",
"token_count": 6876
} | 744 |
from langchain_core.load.dump import dumpd, dumps
from langchain_core.load.load import load, loads
from langchain_openai import ChatOpenAI, OpenAI
def test_loads_openai_llm() -> None:
llm = OpenAI(model="davinci", temperature=0.5, openai_api_key="hello")
llm_string = dumps(llm)
llm2 = loads(llm_string, s... | langchain/libs/partners/openai/tests/unit_tests/test_load.py/0 | {
"file_path": "langchain/libs/partners/openai/tests/unit_tests/test_load.py",
"repo_id": "langchain",
"token_count": 636
} | 655 |
import logging
import os
from typing import List
import requests
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import Document
class SemanticScholarReader(BaseReader):
"""
A class to read and process data from Semantic Scholar API
...
Methods:
-------
__in... | llama_index/llama-index-integrations/readers/llama-index-readers-semanticscholar/llama_index/readers/semanticscholar/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-semanticscholar/llama_index/readers/semanticscholar/base.py",
"repo_id": "llama_index",
"token_count": 3625
} | 1,455 |
# LlamaIndex Readers Integration: Twitter
| llama_index/llama-index-integrations/readers/llama-index-readers-twitter/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-twitter/README.md",
"repo_id": "llama_index",
"token_count": 9
} | 1,438 |
<jupyter_start><jupyter_text>Fonctions avancées d'Interface Installez les bibliothèques 🤗 Transformers et 🤗 Gradio pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!pip install gradio
import random
import gradio as gr
def chat(message, history):
history = history or [... | notebooks/course/fr/chapter9/section6.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter9/section6.ipynb",
"repo_id": "notebooks",
"token_count": 647
} | 294 |
//! Text Generation gRPC client library
mod client;
#[allow(clippy::derive_partial_eq_without_eq)]
mod pb;
mod sharded_client;
pub use client::Client;
pub use pb::generate::v2::HealthResponse;
pub use pb::generate::v2::InfoResponse as ShardInfo;
pub use pb::generate::v2::{
Batch, CachedBatch, FinishReason, Genera... | text-generation-inference/router/client/src/lib.rs/0 | {
"file_path": "text-generation-inference/router/client/src/lib.rs",
"repo_id": "text-generation-inference",
"token_count": 464
} | 433 |
"""Wrapper around Anyscale Endpoint"""
from typing import (
Any,
Dict,
List,
Mapping,
Optional,
Set,
)
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.outputs import Generation, GenerationChunk, LLMResult
from langcha... | langchain/libs/community/langchain_community/llms/anyscale.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/anyscale.py",
"repo_id": "langchain",
"token_count": 5983
} | 276 |
import type { ObjectId } from "bson";
import type { Timestamps } from "./Timestamps";
import type { User } from "./User";
export interface Session extends Timestamps {
_id: ObjectId;
sessionId: string;
userId: User["_id"];
userAgent?: string;
ip?: string;
expiresAt: Date;
}
| chat-ui/src/lib/types/Session.ts/0 | {
"file_path": "chat-ui/src/lib/types/Session.ts",
"repo_id": "chat-ui",
"token_count": 97
} | 103 |
from typing import List
from langchain_community.document_loaders.unstructured import UnstructuredFileLoader
class UnstructuredImageLoader(UnstructuredFileLoader):
"""Load `PNG` and `JPG` files using `Unstructured`.
You can run the loader in one of two modes: "single" and "elements".
If you use "single"... | langchain/libs/community/langchain_community/document_loaders/image.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/image.py",
"repo_id": "langchain",
"token_count": 369
} | 239 |
"""Test AzureML Endpoint wrapper."""
import json
import os
from pathlib import Path
from typing import Dict
from urllib.request import HTTPError
import pytest
from langchain_core.pydantic_v1 import ValidationError
from langchain_community.llms.azureml_endpoint import (
AzureMLOnlineEndpoint,
ContentFormatter... | langchain/libs/community/tests/integration_tests/llms/test_azureml_endpoint.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_azureml_endpoint.py",
"repo_id": "langchain",
"token_count": 2691
} | 333 |
import time
import pytest
from pymilvus import Collection
from base.client_base import TestcaseBase
from common import common_func as cf
from common import common_type as ct
from common.common_type import CaseLabel
from utils.util_log import test_log as log
from utils.util_common import get_collections
class TestAllC... | milvus/tests/python_client/chaos/testcases/test_all_collections_after_chaos.py/0 | {
"file_path": "milvus/tests/python_client/chaos/testcases/test_all_collections_after_chaos.py",
"repo_id": "milvus",
"token_count": 2554
} | 1,894 |
[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 = ["HatenaBlogReader"]
contains_example = false
import_path = "llama_index.readers.hatena_blo... | llama_index/llama-index-integrations/readers/llama-index-readers-hatena-blog/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hatena-blog/pyproject.toml",
"repo_id": "llama_index",
"token_count": 702
} | 1,376 |
"""Pydantic output parser."""
import json
from typing import Any, List, Optional, Type
from llama_index.legacy.output_parsers.base import ChainableOutputParser
from llama_index.legacy.output_parsers.utils import extract_json_str
from llama_index.legacy.types import Model
PYDANTIC_FORMAT_TMPL = """
Here's a JSON sche... | llama_index/llama-index-legacy/llama_index/legacy/output_parsers/pydantic.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/output_parsers/pydantic.py",
"repo_id": "llama_index",
"token_count": 849
} | 1,597 |
// For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/docker-existing-docker-compose
{
// Name for the dev container
"name": "langchain",
// Point to a Docker Compose file
"dockerComposeFile": "./docker-compos... | langchain/.devcontainer/devcontainer.json/0 | {
"file_path": "langchain/.devcontainer/devcontainer.json",
"repo_id": "langchain",
"token_count": 398
} | 72 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-rocksetdb/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,536 |
from llama_index.readers.pdf_table.base import PDFTableReader
__all__ = ["PDFTableReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-pdf-table/llama_index/readers/pdf_table/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-pdf-table/llama_index/readers/pdf_table/__init__.py",
"repo_id": "llama_index",
"token_count": 31
} | 1,539 |
from langchain_community.utilities.google_search import GoogleSearchAPIWrapper
__all__ = ["GoogleSearchAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/google_search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/google_search.py",
"repo_id": "langchain",
"token_count": 32
} | 595 |
// 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/metrics_info_test.go/0 | {
"file_path": "milvus/internal/proxy/metrics_info_test.go",
"repo_id": "milvus",
"token_count": 2744
} | 1,817 |
""" PyTorch MADGRAD optimizer
MADGRAD: https://arxiv.org/abs/2101.11075
Code from: https://github.com/facebookresearch/madgrad
"""
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import ma... | pytorch-image-models/timm/optim/madgrad.py/0 | {
"file_path": "pytorch-image-models/timm/optim/madgrad.py",
"repo_id": "pytorch-image-models",
"token_count": 3505
} | 386 |
import asyncio
from typing import Any, Dict
from llama_index.core import (
ServiceContext,
VectorStoreIndex,
)
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.llms.openai import OpenAI
from llama_index.readers.wikipedia import WikipediaReader
# Create a new event loop
loop = asynci... | llama_index/llama-index-packs/llama-index-packs-streamlit-chatbot/llama_index/packs/streamlit_chatbot/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-streamlit-chatbot/llama_index/packs/streamlit_chatbot/base.py",
"repo_id": "llama_index",
"token_count": 2544
} | 1,687 |
<jupyter_start><jupyter_text>Utilisation de modèles pré-entraînés (PyTorch) Installez la bibliothèque 🤗 Transformers pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
from transformers import pipeline
camembert_fill_mask = pipeline("fill-mask", model="camembert-base")
results... | notebooks/course/fr/chapter4/section2_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter4/section2_pt.ipynb",
"repo_id": "notebooks",
"token_count": 259
} | 293 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.readwise import ReadwiseReader
def test_class():
names_of_base_classes = [b.__name__ for b in ReadwiseReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-readwise/tests/test_readers_readwise.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-readwise/tests/test_readers_readwise.py",
"repo_id": "llama_index",
"token_count": 88
} | 1,512 |
"""Edenai Tools."""
from langchain_community.tools.edenai.audio_speech_to_text import (
EdenAiSpeechToTextTool,
)
from langchain_community.tools.edenai.audio_text_to_speech import (
EdenAiTextToSpeechTool,
)
from langchain_community.tools.edenai.edenai_base_tool import EdenaiTool
from langchain_community.tools.... | langchain/libs/community/langchain_community/tools/edenai/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/edenai/__init__.py",
"repo_id": "langchain",
"token_count": 394
} | 295 |
python_sources()
python_tests(
name="tests0",
)
| llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/tests/BUILD",
"repo_id": "llama_index",
"token_count": 23
} | 1,849 |
<jupyter_start><jupyter_text>Multi-Modal on PDF's with tables. One common challenge with RAG (`Retrieval-Augmented Generation`) involves handling PDFs that contain tables. Parsing tables in various formats can be quite complex.However, Microsoft's newly released model, [`Table Transformer`](https://huggingface.co/micro... | llama_index/docs/examples/multi_modal/multi_modal_pdf_tables.ipynb/0 | {
"file_path": "llama_index/docs/examples/multi_modal/multi_modal_pdf_tables.ipynb",
"repo_id": "llama_index",
"token_count": 8911
} | 1,095 |
# Using with Langchain 🦜🔗
LlamaIndex provides both Tool abstractions for a Langchain agent as well as a memory module.
The API reference of the Tool abstractions + memory modules are [here](/api_reference/langchain_integrations/base.rst).
### Use any data loader as a Langchain Tool
LlamaIndex allows you to use an... | llama_index/docs/community/integrations/using_with_langchain.md/0 | {
"file_path": "llama_index/docs/community/integrations/using_with_langchain.md",
"repo_id": "llama_index",
"token_count": 530
} | 1,086 |
from typing import Any, Dict, List, Optional
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.pydantic_v1 import BaseModel, root_validator
from langchain_core.retrievers import BaseRetriever
class VectorSearchConfig(BaseModel, extra... | langchain/libs/community/langchain_community/retrievers/bedrock.py/0 | {
"file_path": "langchain/libs/community/langchain_community/retrievers/bedrock.py",
"repo_id": "langchain",
"token_count": 2050
} | 289 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/tools/llama-index-tools-bing-search/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-bing-search/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,560 |
from typing import Any, Callable, List, Optional, Union
import torch
from transformers import GenerationConfig, PreTrainedTokenizer, PreTrainedTokenizerFast
from ..core import set_seed
from ..models import SUPPORTED_ARCHITECTURES, PreTrainedModelWrapper
class BestOfNSampler:
def __init__(
self,
... | trl/trl/extras/best_of_n_sampler.py/0 | {
"file_path": "trl/trl/extras/best_of_n_sampler.py",
"repo_id": "trl",
"token_count": 2253
} | 815 |
"""Integration test for Serper.dev's Google Search API Wrapper."""
from langchain_community.utilities.google_serper import GoogleSerperAPIWrapper
def test_search_call() -> None:
"""Test that call gives the correct answer from search."""
search = GoogleSerperAPIWrapper()
output = search.run("What was Obama... | langchain/libs/community/tests/integration_tests/utilities/test_googleserper_api.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/utilities/test_googleserper_api.py",
"repo_id": "langchain",
"token_count": 433
} | 348 |
# 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/dual_transformer_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/dual_transformer_2d.py",
"repo_id": "diffusers",
"token_count": 307
} | 243 |
import os
from typing import Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import BaseTool
from langchain_community.tools.file_management.utils import (
INVALID_PATH_TEMPLATE,
BaseFileToolMixin,
... | langchain/libs/community/langchain_community/tools/file_management/delete.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/file_management/delete.py",
"repo_id": "langchain",
"token_count": 532
} | 301 |
# flake8: noqa
from langchain_core.prompts.prompt import PromptTemplate
_template = """Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.
Chat History:
{chat_history}
Follow Up Input: {question}
Standalone question:"""
CONDENSE_QUESTION_PROMPT = Pro... | langchain/libs/langchain/langchain/chains/chat_vector_db/prompts.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/chat_vector_db/prompts.py",
"repo_id": "langchain",
"token_count": 199
} | 477 |
<jupyter_start><jupyter_text>Multimodal Messages with OpenAI Vision**Note:** This feature is currently in preview and only available on `rc` branches, starting with `0.0.182-rc.0`. The message schema may change in future releases.OpenAI supports interleaving images with text in input messages with their `gpt-4-vision-p... | langchainjs/cookbook/openai_vision_multimodal.ipynb/0 | {
"file_path": "langchainjs/cookbook/openai_vision_multimodal.ipynb",
"repo_id": "langchainjs",
"token_count": 28865
} | 690 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/layoutlmv3/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/layoutlmv3/__init__.py",
"repo_id": "transformers",
"token_count": 1868
} | 678 |
from uuid import UUID
from starlette.responses import JSONResponse
from chromadb.errors import ChromaError, InvalidUUIDError
def fastapi_json_response(error: ChromaError) -> JSONResponse:
return JSONResponse(
content={"error": error.name(), "message": error.message()},
status_code=error.code(),
... | chroma/chromadb/server/fastapi/utils.py/0 | {
"file_path": "chroma/chromadb/server/fastapi/utils.py",
"repo_id": "chroma",
"token_count": 189
} | 19 |
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