text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
search_performance:
collections:
# -
# milvus:
# db_config.primary_path: /test/milvus/db_data_011/sift_1b_128_l2_sq8h
# cache_config.cpu_cache_capacity: 150GB
# engine_config.use_blas_threshold: 0
# engine_config.gpu... | milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_search_debug.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_search_debug.yaml",
"repo_id": "milvus",
"token_count": 1767
} | 2,145 |
"""Init file of Playground."""
# playground
from llama_index.core.playground.base import (
DEFAULT_INDEX_CLASSES,
DEFAULT_MODES,
Playground,
)
__all__ = ["Playground", "DEFAULT_INDEX_CLASSES", "DEFAULT_MODES"]
| llama_index/llama-index-core/llama_index/core/playground/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/playground/__init__.py",
"repo_id": "llama_index",
"token_count": 87
} | 1,282 |
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | diffusers/src/diffusers/pipelines/auto_pipeline.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/auto_pipeline.py",
"repo_id": "diffusers",
"token_count": 20558
} | 235 |
# Unstructured.io URL Loader
This loader extracts the text from URLs using [Unstructured.io](https://github.com/Unstructured-IO/unstructured). The partition_html function partitions an HTML document and returns a list
of document Element objects.
## Usage
```python
from llama_index import download_loader
Unstructur... | llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/unstructured_web/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-web/llama_index/readers/web/unstructured_web/README.md",
"repo_id": "llama_index",
"token_count": 329
} | 1,571 |
from typing import AsyncIterator, Iterator, List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class MergedDataLoader(BaseLoader):
"""Merge documents from a list of loaders"""
def __init__(self, loaders: List):
"""Initialize with a li... | langchain/libs/community/langchain_community/document_loaders/merge.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/merge.py",
"repo_id": "langchain",
"token_count": 444
} | 259 |
use super::Cpu;
use core::arch::wasm32::*;
pub struct CurrentCpu {}
const STEP: usize = 16;
const EPR: usize = 4;
const ARR: usize = STEP / EPR;
impl Cpu<ARR> for CurrentCpu {
type Unit = v128;
type Array = [v128; ARR];
const STEP: usize = STEP;
const EPR: usize = EPR;
fn n() -> usize {
... | candle/candle-core/src/cpu/simd128.rs/0 | {
"file_path": "candle/candle-core/src/cpu/simd128.rs",
"repo_id": "candle",
"token_count": 839
} | 27 |
<jupyter_start><jupyter_text>PGVector>[PGVector](https://github.com/pgvector/pgvector) is a vector similarity search for Postgres.In the notebook, we'll demo the `SelfQueryRetriever` wrapped around a `PGVector` vector store. Creating a PGVector vector storeFirst we'll want to create a PGVector vector store and seed it... | langchain/docs/docs/integrations/retrievers/self_query/pgvector_self_query.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/self_query/pgvector_self_query.ipynb",
"repo_id": "langchain",
"token_count": 1636
} | 158 |
"""Toolkit for interacting with a Power BI dataset."""
from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional, Union
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel
from langchain_core.language_models.chat_models import... | langchain/libs/community/langchain_community/agent_toolkits/powerbi/toolkit.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/powerbi/toolkit.py",
"repo_id": "langchain",
"token_count": 1571
} | 226 |
# Advanced Retrieval Strategies
## Main Advanced Retrieval Strategies
There are a variety of more advanced retrieval strategies you may wish to try, each with different benefits:
- {ref}`Reranking <cohere_rerank>`
- [Recursive retrieval](/examples/query_engine/pdf_tables/recursive_retriever.ipynb)
- [Embedded tables... | llama_index/docs/optimizing/advanced_retrieval/advanced_retrieval.md/0 | {
"file_path": "llama_index/docs/optimizing/advanced_retrieval/advanced_retrieval.md",
"repo_id": "llama_index",
"token_count": 544
} | 1,233 |
<!--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/zh/hpo_train.md/0 | {
"file_path": "transformers/docs/source/zh/hpo_train.md",
"repo_id": "transformers",
"token_count": 2832
} | 533 |
# Documents / Nodes
## Concept
Document and Node objects are core abstractions within LlamaIndex.
A **Document** is a generic container around any data source - for instance, a PDF, an API output, or retrieved data from a database. They can be constructed manually, or created automatically via our data loaders. By d... | llama_index/docs/module_guides/loading/documents_and_nodes/root.md/0 | {
"file_path": "llama_index/docs/module_guides/loading/documents_and_nodes/root.md",
"repo_id": "llama_index",
"token_count": 553
} | 1,142 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/dpt/image_processing_dpt.py/0 | {
"file_path": "transformers/src/transformers/models/dpt/image_processing_dpt.py",
"repo_id": "transformers",
"token_count": 9556
} | 664 |
import os
import warnings
from typing import Any, Dict, List, Optional, cast
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.outputs import LLMResult
from packaging.version import parse
class ArgillaCallbackHandler(BaseCallbackHa... | langchain/libs/community/langchain_community/callbacks/argilla_callback.py/0 | {
"file_path": "langchain/libs/community/langchain_community/callbacks/argilla_callback.py",
"repo_id": "langchain",
"token_count": 7037
} | 216 |
/******************************************************************************
* Copyright (c) 2023, Tri Dao.
******************************************************************************/
#pragma once
#include "static_switch.h"
#include "flash.h"
#include "flash_fwd_kernel.h"
template<typename Kernel_traits, bo... | candle/candle-flash-attn/kernels/flash_fwd_launch_template.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/flash_fwd_launch_template.h",
"repo_id": "candle",
"token_count": 7583
} | 50 |
// 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/FieldDataInterface.h/0 | {
"file_path": "milvus/internal/core/src/common/FieldDataInterface.h",
"repo_id": "milvus",
"token_count": 3815
} | 1,863 |
# coding=utf-8
# Copyright 2022 Meta and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | transformers/src/transformers/models/esm/modeling_tf_esm.py/0 | {
"file_path": "transformers/src/transformers/models/esm/modeling_tf_esm.py",
"repo_id": "transformers",
"token_count": 30031
} | 631 |
""" Bilinear-Attention-Transform and Non-Local Attention
Paper: `Non-Local Neural Networks With Grouped Bilinear Attentional Transforms`
- https://openaccess.thecvf.com/content_CVPR_2020/html/Chi_Non-Local_Neural_Networks_With_Grouped_Bilinear_Attentional_Transforms_CVPR_2020_paper.html
Adapted from original code:... | pytorch-image-models/timm/layers/non_local_attn.py/0 | {
"file_path": "pytorch-image-models/timm/layers/non_local_attn.py",
"repo_id": "pytorch-image-models",
"token_count": 3028
} | 390 |
//! Support for the GGUF file format.
//!
//! Spec: https://github.com/philpax/ggml/blob/gguf-spec/docs/gguf.md
use super::{GgmlDType, QTensor};
use crate::{Device, Result};
use byteorder::{LittleEndian, ReadBytesExt, WriteBytesExt};
use std::collections::HashMap;
pub const DEFAULT_ALIGNMENT: u64 = 32;
#[derive(Debu... | candle/candle-core/src/quantized/gguf_file.rs/0 | {
"file_path": "candle/candle-core/src/quantized/gguf_file.rs",
"repo_id": "candle",
"token_count": 9397
} | 36 |
""" DropBlock, DropPath
PyTorch implementations of DropBlock and DropPath (Stochastic Depth) regularization layers.
Papers:
DropBlock: A regularization method for convolutional networks (https://arxiv.org/abs/1810.12890)
Deep Networks with Stochastic Depth (https://arxiv.org/abs/1603.09382)
Code:
DropBlock impl ins... | pytorch-image-models/timm/layers/drop.py/0 | {
"file_path": "pytorch-image-models/timm/layers/drop.py",
"repo_id": "pytorch-image-models",
"token_count": 3016
} | 353 |
"""Schemas for tracers."""
from __future__ import annotations
import datetime
import warnings
from typing import Any, Dict, List, Optional, Type
from uuid import UUID
from langsmith.schemas import RunBase as BaseRunV2
from langsmith.schemas import RunTypeEnum as RunTypeEnumDep
from langchain_core._api import depreca... | langchain/libs/core/langchain_core/tracers/schemas.py/0 | {
"file_path": "langchain/libs/core/langchain_core/tracers/schemas.py",
"repo_id": "langchain",
"token_count": 1688
} | 439 |
import { AudioSubtitleLoader } from "langchain/document_loaders/web/assemblyai";
// You can also use a local file path and the loader will upload it to AssemblyAI for you.
const audioUrl = "https://storage.googleapis.com/aai-docs-samples/espn.m4a";
const loader = new AudioSubtitleLoader(
{
audio: audioUrl,
... | langchainjs/examples/src/document_loaders/assemblyai_subtitles.ts/0 | {
"file_path": "langchainjs/examples/src/document_loaders/assemblyai_subtitles.ts",
"repo_id": "langchainjs",
"token_count": 217
} | 852 |
use crate::{Result, Tensor, WithDType};
pub enum TensorScalar {
Tensor(Tensor),
Scalar(Tensor),
}
pub trait TensorOrScalar {
fn to_tensor_scalar(self) -> Result<TensorScalar>;
}
impl TensorOrScalar for &Tensor {
fn to_tensor_scalar(self) -> Result<TensorScalar> {
Ok(TensorScalar::Tensor(self.... | candle/candle-core/src/scalar.rs/0 | {
"file_path": "candle/candle-core/src/scalar.rs",
"repo_id": "candle",
"token_count": 261
} | 37 |
# coding=utf-8
# Copyright 2023 NllbMoe Authors and 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 requir... | transformers/src/transformers/models/nllb_moe/modeling_nllb_moe.py/0 | {
"file_path": "transformers/src/transformers/models/nllb_moe/modeling_nllb_moe.py",
"repo_id": "transformers",
"token_count": 37590
} | 700 |
# Inference Examples
**The inference examples folder is deprecated and will be removed in a future version**.
**Officially supported inference examples can be found in the [Pipelines folder](https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines)**.
- For `Image-to-Image text-guided generation wit... | diffusers/examples/inference/README.md/0 | {
"file_path": "diffusers/examples/inference/README.md",
"repo_id": "diffusers",
"token_count": 252
} | 207 |
<!--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/phobert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/phobert.md",
"repo_id": "transformers",
"token_count": 776
} | 451 |
<jupyter_start><jupyter_text>Search ToolsThis notebook shows off usage of various search tools.<jupyter_code>from langchain.agents import AgentType, initialize_agent, load_tools
from langchain_openai import OpenAI
llm = OpenAI(temperature=0)<jupyter_output><empty_output><jupyter_text>Google Serper API WrapperFirst, let... | langchain/docs/docs/integrations/tools/search_tools.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/search_tools.ipynb",
"repo_id": "langchain",
"token_count": 1969
} | 186 |
export OPENAI_API_KEY="..."
export ASTRA_DB_API_ENDPOINT="https://...-....apps.astra.datastax.com"
export ASTRA_DB_APPLICATION_TOKEN="AstraCS:..."
export ASTRA_DB_KEYSPACE="..." # Optional - falls back to default if not provided
| langchain/templates/rag-astradb/.env.template/0 | {
"file_path": "langchain/templates/rag-astradb/.env.template",
"repo_id": "langchain",
"token_count": 83
} | 657 |
from llama_index.embeddings.google.gemini import GeminiEmbedding
from llama_index.embeddings.google.palm import GooglePaLMEmbedding
from llama_index.embeddings.google.univ_sent_encoder import (
GoogleUnivSentEncoderEmbedding,
)
__all__ = ["GeminiEmbedding", "GooglePaLMEmbedding", "GoogleUnivSentEncoderEmbedding"]
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-google/llama_index/embeddings/google/__init__.py",
"repo_id": "llama_index",
"token_count": 115
} | 1,240 |
# coding=utf-8
# Copyright 2010, The Microsoft Research Asia LayoutLM Team authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unles... | transformers/src/transformers/models/layoutlm/configuration_layoutlm.py/0 | {
"file_path": "transformers/src/transformers/models/layoutlm/configuration_layoutlm.py",
"repo_id": "transformers",
"token_count": 3609
} | 632 |
#!/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/agents.py/0 | {
"file_path": "transformers/src/transformers/tools/agents.py",
"repo_id": "transformers",
"token_count": 12720
} | 712 |
version: "3"
services:
test-exports-esbuild:
image: node:18
environment:
PUPPETEER_SKIP_DOWNLOAD: "true"
PLAYWRIGHT_SKIP_BROWSER_DOWNLOAD: "true"
working_dir: /app
volumes:
- ../yarn.lock:/root/yarn.lock
- ../.yarnrc.yml:/root/.yarnrc.yml
- ../.yarn:/root/.yarn
- ..... | langchainjs/environment_tests/docker-compose.yml/0 | {
"file_path": "langchainjs/environment_tests/docker-compose.yml",
"repo_id": "langchainjs",
"token_count": 2540
} | 773 |
from typing import Dict, List
from langchain_community.graphs import Neo4jGraph
graph = Neo4jGraph()
def get_user_id() -> int:
"""
Placeholder for a function that would normally retrieve
a user's ID
"""
return 1
def remove_lucene_chars(text: str) -> str:
"""Remove Lucene special characters... | langchain/templates/neo4j-semantic-ollama/neo4j_semantic_ollama/utils.py/0 | {
"file_path": "langchain/templates/neo4j-semantic-ollama/neo4j_semantic_ollama/utils.py",
"repo_id": "langchain",
"token_count": 933
} | 665 |
<jupyter_start><jupyter_text>Multi-Tenancy RAGThis notebook shows how to implement Multi-Tenancy RAG with MultiTenancyRAGPack. Setup<jupyter_code>import os
os.environ["OPENAI_API_KEY"] = "YOUR OPENAI API KEY"<jupyter_output><empty_output><jupyter_text>Download data<jupyter_code>!wget --user-agent "Mozilla" "https://a... | llama_index/llama-index-packs/llama-index-packs-multi-tenancy-rag/examples/multi_tenancy_rag.ipynb/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-multi-tenancy-rag/examples/multi_tenancy_rag.ipynb",
"repo_id": "llama_index",
"token_count": 1190
} | 1,799 |
<!--Copyright 2024 Custom Diffusion authors 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... | diffusers/docs/source/ko/training/custom_diffusion.md/0 | {
"file_path": "diffusers/docs/source/ko/training/custom_diffusion.md",
"repo_id": "diffusers",
"token_count": 7052
} | 194 |
"""Init params."""
| llama_index/llama-index-legacy/tests/llm_predictor/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/llm_predictor/__init__.py",
"repo_id": "llama_index",
"token_count": 6
} | 1,668 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 50278,
"logprob": null,
"text": "<|USER|>"
},
{
"id": 1276,
"logprob": -4.5546875,
"text": "What"
},
{
... | text-generation-inference/integration-tests/models/__snapshots__/test_neox/test_neox.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_neox/test_neox.json",
"repo_id": "text-generation-inference",
"token_count": 1351
} | 428 |
from __future__ import annotations
from contextlib import contextmanager
from contextvars import ContextVar
from typing import (
TYPE_CHECKING,
Any,
Generator,
List,
Optional,
Tuple,
Type,
Union,
cast,
)
from uuid import UUID
from langsmith import utils as ls_utils
from langsmith.r... | langchain/libs/core/langchain_core/tracers/context.py/0 | {
"file_path": "langchain/libs/core/langchain_core/tracers/context.py",
"repo_id": "langchain",
"token_count": 3096
} | 438 |
python_tests()
| llama_index/llama-index-integrations/llms/llama-index-llms-ai21/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-ai21/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,387 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 50278,
"logprob": null,
"text": "<|prompter|>"
},
{
"id": 1276,
"logprob": -8.03125,
"text": "What"
},
{
... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_neox_sharded/test_flash_neox.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_neox_sharded/test_flash_neox.json",
"repo_id": "text-generation-inference",
"token_count": 1970
} | 401 |
import os
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.document_loaders import UnstructuredFileLoader
from langchain_community.embeddings import HuggingFaceEmbeddings
from langchain_community.vectorstores import Redis
from rag_redis.config import EMBED_MODEL, INDEX_NAME, ... | langchain/templates/rag-redis/ingest.py/0 | {
"file_path": "langchain/templates/rag-redis/ingest.py",
"repo_id": "langchain",
"token_count": 588
} | 665 |
# AWS
All functionality related to [Amazon AWS](https://aws.amazon.com/) platform
## LLMs
### Bedrock
See a [usage example](/docs/integrations/llms/bedrock).
```typescript
import { Bedrock } from "langchain/llms/bedrock";
```
### SageMaker Endpoint
> [Amazon SageMaker](https://aws.amazon.com/sagemaker/) is a sys... | langchainjs/docs/core_docs/docs/integrations/platforms/aws.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/platforms/aws.mdx",
"repo_id": "langchainjs",
"token_count": 712
} | 765 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/llama_index/readers/microsoft_onedrive/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-microsoft-onedrive/llama_index/readers/microsoft_onedrive/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,337 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/manim_animations/big_model_inference/stage_3.py/0 | {
"file_path": "accelerate/manim_animations/big_model_inference/stage_3.py",
"repo_id": "accelerate",
"token_count": 2891
} | 8 |
// 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/server/rocksmq_retention_test.go/0 | {
"file_path": "milvus/internal/mq/mqimpl/rocksmq/server/rocksmq_retention_test.go",
"repo_id": "milvus",
"token_count": 7766
} | 1,834 |
from langchain_community.utilities.metaphor_search import (
MetaphorSearchAPIWrapper,
)
__all__ = ["MetaphorSearchAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/metaphor_search.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/metaphor_search.py",
"repo_id": "langchain",
"token_count": 46
} | 596 |
# LlamaIndex Embeddings Integration: Openai
| llama_index/llama-index-integrations/embeddings/llama-index-embeddings-openai/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-openai/README.md",
"repo_id": "llama_index",
"token_count": 12
} | 1,201 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/ingestion/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/ingestion/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,569 |
# coding=utf-8
# Copyright 2021 Microsoft 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/deberta/modeling_tf_deberta.py/0 | {
"file_path": "transformers/src/transformers/models/deberta/modeling_tf_deberta.py",
"repo_id": "transformers",
"token_count": 30749
} | 654 |
use crate::backend::BackendStorage;
use crate::op::{self, CmpOp, CustomOp1, CustomOp2, CustomOp3, ReduceOp};
use crate::{CpuStorage, CudaStorage, DType, Device, Error, Layout, MetalStorage, Result, Shape};
// We do not want to implement Clone on Storage as cloning may fail because of
// out of memory. Instead try_clon... | candle/candle-core/src/storage.rs/0 | {
"file_path": "candle/candle-core/src/storage.rs",
"repo_id": "candle",
"token_count": 13775
} | 33 |
/* eslint-disable no-process-env */
import { test } from "@jest/globals";
import { ChatOpenAI } from "@langchain/openai";
import {
ChatPromptTemplate,
MessagesPlaceholder,
} from "@langchain/core/prompts";
import {
AIMessage,
BaseMessage,
FunctionMessage,
} from "@langchain/core/messages";
import { SerpAPI } ... | langchainjs/langchain/src/agents/tests/runnable.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/agents/tests/runnable.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1423
} | 854 |
import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_failure = True
print(f... | langchain/libs/partners/robocorp/scripts/check_imports.py/0 | {
"file_path": "langchain/libs/partners/robocorp/scripts/check_imports.py",
"repo_id": "langchain",
"token_count": 206
} | 641 |
#include <torch/extension.h>
#include <ATen/ATen.h>
#include "cuda_launch.h"
#include <vector>
std::vector<at::Tensor> index_max(
at::Tensor index_vals,
at::Tensor indices,
int A_num_block,
int B_num_block
) {
return index_max_kernel(
index_vals,
indices,
A_num_block,
B_num_block
);
}
at::... | transformers/src/transformers/kernels/mra/torch_extension.cpp/0 | {
"file_path": "transformers/src/transformers/kernels/mra/torch_extension.cpp",
"repo_id": "transformers",
"token_count": 655
} | 597 |
#!/usr/bin/env python
"""Example LangChain server exposes a conversational retrieval agent.
Relevant LangChain documentation:
* Creating a custom agent: https://python.langchain.com/docs/modules/agents/how_to/custom_agent
* Streaming with agents: https://python.langchain.com/docs/modules/agents/how_to/streaming#custo... | langserve/examples/agent/server.py/0 | {
"file_path": "langserve/examples/agent/server.py",
"repo_id": "langserve",
"token_count": 1258
} | 1,079 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/pop2piano.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/pop2piano.md",
"repo_id": "transformers",
"token_count": 2624
} | 499 |
# Add parent directory to python path to access lightning_base.py
export PYTHONPATH="../":"${PYTHONPATH}"
#creates the custom knowlegebase
python use_own_knowledge_dataset.py
# Start a single-node Ray cluster.
ray start --head
# A sample finetuning run, you need to specify data_dir, output_dir and model_name_or_pat... | transformers/examples/research_projects/rag-end2end-retriever/test_run/test_finetune.sh/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/test_run/test_finetune.sh",
"repo_id": "transformers",
"token_count": 651
} | 533 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Team All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | transformers/examples/pytorch/token-classification/run_ner.py/0 | {
"file_path": "transformers/examples/pytorch/token-classification/run_ner.py",
"repo_id": "transformers",
"token_count": 11698
} | 528 |
"""Graph Index Creator."""
from typing import Optional, Type
from langchain_community.graphs.networkx_graph import NetworkxEntityGraph, parse_triples
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langchain_core.pydantic_v1 import BaseModel
from... | langchain/libs/langchain/langchain/indexes/graph.py/0 | {
"file_path": "langchain/libs/langchain/langchain/indexes/graph.py",
"repo_id": "langchain",
"token_count": 676
} | 508 |
"""Test Writer API wrapper."""
from langchain_community.llms.writer import Writer
def test_writer_call() -> None:
"""Test valid call to Writer."""
llm = Writer()
output = llm("Say foo:")
assert isinstance(output, str)
| langchain/libs/community/tests/integration_tests/llms/test_writer.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_writer.py",
"repo_id": "langchain",
"token_count": 80
} | 361 |
from typing import Any, Callable, Optional, Sequence
from typing_extensions import override
from llama_index.legacy.bridge.pydantic import Field, PrivateAttr
from llama_index.legacy.callbacks import CallbackManager
from llama_index.legacy.constants import DEFAULT_NUM_OUTPUTS
from llama_index.legacy.core.llms.types im... | llama_index/llama-index-legacy/llama_index/legacy/llms/gradient.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/gradient.py",
"repo_id": "llama_index",
"token_count": 2831
} | 1,679 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/resnet/convert_resnet_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/resnet/convert_resnet_to_pytorch.py",
"repo_id": "transformers",
"token_count": 2997
} | 714 |
import json
import logging
from typing import Any, Callable, Dict, List, Optional, Union
from llama_index.core.base.base_query_engine import BaseQueryEngine
from llama_index.core.base.response.schema import Response
from llama_index.core.llms.llm import LLM
from llama_index.core.prompts import BasePromptTemplate, Prom... | llama_index/llama-index-core/llama_index/core/indices/struct_store/json_query.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/indices/struct_store/json_query.py",
"repo_id": "llama_index",
"token_count": 3514
} | 1,182 |
# coding=utf-8
# Copyright 2018 Google AI, Google Brain 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
#
# U... | transformers/src/transformers/models/albert/tokenization_albert_fast.py/0 | {
"file_path": "transformers/src/transformers/models/albert/tokenization_albert_fast.py",
"repo_id": "transformers",
"token_count": 4570
} | 616 |
from typing import Any
from unittest.mock import MagicMock, patch
import httpx
from llama_index.llms.azure_openai import AzureOpenAI
from openai.types.chat.chat_completion import (
ChatCompletion,
ChatCompletionMessage,
Choice,
)
from openai.types.completion import CompletionUsage
def mock_chat_completio... | llama_index/llama-index-integrations/llms/llama-index-llms-azure-openai/tests/test_azure_openai.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-azure-openai/tests/test_azure_openai.py",
"repo_id": "llama_index",
"token_count": 711
} | 1,345 |
"""Test text splitters that require an integration."""
import pytest
from langchain.text_splitter import (
CharacterTextSplitter,
SentenceTransformersTokenTextSplitter,
TokenTextSplitter,
)
def test_huggingface_type_check() -> None:
"""Test that type checks are done properly on input."""
with py... | langchain/libs/langchain/tests/integration_tests/test_text_splitter.py/0 | {
"file_path": "langchain/libs/langchain/tests/integration_tests/test_text_splitter.py",
"repo_id": "langchain",
"token_count": 1386
} | 593 |
from __future__ import annotations
import asyncio
import threading
from enum import Enum
from typing import TYPE_CHECKING, Any, Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import Field
from langchain_core.tools import BaseTool
from langchain_community.tools... | langchain/libs/community/langchain_community/tools/ainetwork/base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/ainetwork/base.py",
"repo_id": "langchain",
"token_count": 981
} | 291 |
from typing import Callable, Tuple, Type, Union
import torch
LayerType = Union[str, Callable, Type[torch.nn.Module]]
PadType = Union[str, int, Tuple[int, int]]
| pytorch-image-models/timm/layers/typing.py/0 | {
"file_path": "pytorch-image-models/timm/layers/typing.py",
"repo_id": "pytorch-image-models",
"token_count": 55
} | 371 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "schema/output_parser",
newEntrypointName: "output_parsers",
newPackageName: "@langchain/core",
});
export * from "@langchain/core/output_parsers";
| langchainjs/langchain/src/schema/output_parser.ts/0 | {
"file_path": "langchainjs/langchain/src/schema/output_parser.ts",
"repo_id": "langchainjs",
"token_count": 100
} | 964 |
import { DocumentInterface } from "@langchain/core/documents";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import {
RunnablePassthrough,
RunnableSequence,
} from "@langchain/core/runnables";
import { ChatOpenAI, OpenAIEmbeddings } from "@langchain/openai";
import { createSqlQueryChain } from "lang... | langchainjs/examples/src/use_cases/sql/large_db_high_cardinality.ts/0 | {
"file_path": "langchainjs/examples/src/use_cases/sql/large_db_high_cardinality.ts",
"repo_id": "langchainjs",
"token_count": 1447
} | 868 |
import textwrap
import pyarrow as pa
import pytest
from datasets import Features, Value
from datasets.packaged_modules.json.json import Json
@pytest.fixture
def jsonl_file(tmp_path):
filename = tmp_path / "file.jsonl"
data = textwrap.dedent(
"""\
{"col_1": -1}
{"col_1": 1, "col_2": 2... | datasets/tests/packaged_modules/test_json.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_json.py",
"repo_id": "datasets",
"token_count": 1731
} | 158 |
import type {
SupabaseFilter,
SupabaseFilterRPCCall,
SupabaseMetadata,
} from "@langchain/community/vectorstores/supabase";
import {
Comparators,
Comparison,
Operation,
Operators,
StructuredQuery,
} from "../../chains/query_constructor/ir.js";
type SupabaseFilterProps = keyof SupabaseFilter;
/**
* Ut... | langchainjs/langchain/src/retrievers/self_query/supabase_utils.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/self_query/supabase_utils.ts",
"repo_id": "langchainjs",
"token_count": 3608
} | 944 |
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_models import (
BaseChatModel,
agenerate_from_stream,
generate_from_stream,
)
from langcha... | langchain/libs/community/langchain_community/chat_models/cohere.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/cohere.py",
"repo_id": "langchain",
"token_count": 3232
} | 219 |
---
sidebar_position: 2
---
# Text embedding models
:::info
Head to [Integrations](/docs/integrations/text_embedding/) for documentation on built-in integrations with text embedding model providers.
:::
The Embeddings class is a class designed for interfacing with text embedding models. There are lots of embedding mo... | langchain/docs/docs/modules/data_connection/text_embedding/index.mdx/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/text_embedding/index.mdx",
"repo_id": "langchain",
"token_count": 824
} | 202 |
use candle::{Device, Tensor};
use candle_transformers::generation::LogitsProcessor;
use candle_wasm_example_llama2::worker::{Model as M, ModelData};
use wasm_bindgen::prelude::*;
#[wasm_bindgen]
pub struct Model {
inner: M,
logits_processor: LogitsProcessor,
tokens: Vec<u32>,
repeat_penalty: f32,
}
im... | candle/candle-wasm-examples/llama2-c/src/bin/m.rs/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/src/bin/m.rs",
"repo_id": "candle",
"token_count": 1807
} | 74 |
from langchain_community.document_loaders.azure_blob_storage_container import (
AzureBlobStorageContainerLoader,
)
__all__ = ["AzureBlobStorageContainerLoader"]
| langchain/libs/langchain/langchain/document_loaders/azure_blob_storage_container.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/azure_blob_storage_container.py",
"repo_id": "langchain",
"token_count": 51
} | 522 |
.. _Ref-Composability:
Composability
=============
Below we show the API reference for composable data structures.
This contains both the `ComposableGraph` class as well as any
builder classes that generate `ComposableGraph` objects.
.. automodule:: llama_index.core.composability
:members:
:inherited-members:
| llama_index/docs/api_reference/composability.rst/0 | {
"file_path": "llama_index/docs/api_reference/composability.rst",
"repo_id": "llama_index",
"token_count": 93
} | 1,157 |
<jupyter_start><jupyter_text>DocugamiThis notebook covers how to load documents from `Docugami`. It provides the advantages of using this system over alternative data loaders. Prerequisites1. Install necessary python packages.2. Grab an access token for your workspace, and make sure it is set as the `DOCUGAMI_API_KEY` ... | langchain/docs/docs/integrations/document_loaders/docugami.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/docugami.ipynb",
"repo_id": "langchain",
"token_count": 5203
} | 97 |
# Airbyte Hubspot Loader
The Airbyte Hubspot Loader allows you to access different Hubspot objects.
## Installation
- Install llama_hub: `pip install llama_hub`
- Install the hubspot source: `pip install airbyte-source-hubspot`
## Usage
Here's an example usage of the AirbyteHubspotReader.
```python
from llama_hub... | llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-hubspot/README.md",
"repo_id": "llama_index",
"token_count": 871
} | 1,399 |
"""Subclasses from base prompt."""
from llama_index.core.prompts.base import PromptTemplate
# deprecated, kept for backward compatibility
"""Summary prompt.
PromptTemplate to summarize the provided `context_str`.
Required template variables: `context_str`
"""
SummaryPrompt = PromptTemplate
"""Tree Insert prompt.
... | llama_index/llama-index-core/llama_index/core/prompts/prompts.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/prompts/prompts.py",
"repo_id": "llama_index",
"token_count": 1054
} | 1,141 |
package planparserv2
import (
"sync"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/proto/planpb"
"github.com/milvus-io/milvus/pkg/common"
"github.com/milvus-io/milvus/pkg/util/typeutil"
)
func newTestSchema() *schem... | milvus/internal/parser/planparserv2/plan_parser_v2_test.go/0 | {
"file_path": "milvus/internal/parser/planparserv2/plan_parser_v2_test.go",
"repo_id": "milvus",
"token_count": 14068
} | 1,838 |
<jupyter_start><jupyter_text>Step-Back Prompting (Question-Answering)One prompting technique called "Step-Back" prompting can improve performance on complex questions by first asking a "step back" question. This can be combined with regular question-answering applications by then doing retrieval on both the original an... | langchain/cookbook/stepback-qa.ipynb/0 | {
"file_path": "langchain/cookbook/stepback-qa.ipynb",
"repo_id": "langchain",
"token_count": 1376
} | 82 |
"""Test MongoDB Atlas Vector Search functionality."""
from __future__ import annotations
import os
from time import sleep
from typing import Any
import pytest
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_community.vectorstores.mongodb_atlas import Mong... | langchain/libs/community/tests/integration_tests/vectorstores/test_mongodb_atlas.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_mongodb_atlas.py",
"repo_id": "langchain",
"token_count": 2313
} | 386 |
python_sources()
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/storage/kvstore/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/storage/kvstore/BUILD",
"repo_id": "llama_index",
"token_count": 32
} | 1,633 |
# langchain-anthropic
| langchain/libs/partners/anthropic/README.md/0 | {
"file_path": "langchain/libs/partners/anthropic/README.md",
"repo_id": "langchain",
"token_count": 7
} | 660 |
"""Polygon IO tools."""
from langchain_community.tools.polygon.last_quote import PolygonLastQuote
__all__ = [
"PolygonLastQuote",
]
| langchain/libs/community/langchain_community/tools/polygon/__init__.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/polygon/__init__.py",
"repo_id": "langchain",
"token_count": 48
} | 291 |
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain_community.vectorstores import FAISS
from langchain_community.document_loaders import TextLoader
loader = TextLoader('../../../../../../examples/state_of_the_union.txt')
documents = loader.l... | langchainjs/libs/langchain-community/src/vectorstores/tests/faiss.int.test.data/faiss.int.test.py/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/faiss.int.test.data/faiss.int.test.py",
"repo_id": "langchainjs",
"token_count": 211
} | 971 |
"""Main server that exposes one or more chains as HTTP endpoints."""
from fastapi import FastAPI
from langchain_openai import ChatOpenAI
from langserve import add_routes
app = FastAPI()
# Let's add an example chain
add_routes(
app,
ChatOpenAI(),
path="/chat_model",
)
if __name__ == "__main__":
impor... | langserve/examples/multiple_servers/main_server.py/0 | {
"file_path": "langserve/examples/multiple_servers/main_server.py",
"repo_id": "langserve",
"token_count": 142
} | 1,083 |
# Copyright 2023 DDPO-pytorch authors (Kevin Black), The HuggingFace Team, metric-space. 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/lic... | trl/trl/models/modeling_sd_base.py/0 | {
"file_path": "trl/trl/models/modeling_sd_base.py",
"repo_id": "trl",
"token_count": 11407
} | 874 |
[tool.ruff]
target-version = "py37"
line-length = 119
[tool.ruff.lint]
ignore = [
"B028", # warning without explicit stacklevel
"C408", # dict() calls (stylistic)
"C901", # function complexity
"E501",
]
extend-select = ["E", "F", "I", "W", "UP", "B", "T", "C"]
[tool.ruff.lint.per-file-ignores]
# Allow... | trl/pyproject.toml/0 | {
"file_path": "trl/pyproject.toml",
"repo_id": "trl",
"token_count": 211
} | 860 |
# CouchDB Loader
This loader loads documents from CouchDB. The loader currently supports CouchDB 3.x
using the CouchDB3 python wrapper from https://github.com/n-vlahovic/couchdb3
The user specifies a CouchDB instance to initialize the reader. They then specify
the database name and query params to fetch the relevant d... | llama_index/llama-index-integrations/readers/llama-index-readers-couchdb/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-couchdb/README.md",
"repo_id": "llama_index",
"token_count": 324
} | 1,335 |
import { Source } from "./SourceBubble";
export function InlineCitation(props: {
source: Source;
sourceNumber: number;
highlighted: boolean;
onMouseEnter: () => any;
onMouseLeave: () => any;
}) {
const { source, sourceNumber, highlighted, onMouseEnter, onMouseLeave } =
props;
return (
<a
hr... | weblangchain/nextjs/app/components/InlineCitation.tsx/0 | {
"file_path": "weblangchain/nextjs/app/components/InlineCitation.tsx",
"repo_id": "weblangchain",
"token_count": 242
} | 1,930 |
"""Test LLM PAL functionality."""
import pytest
from langchain_experimental.pal_chain.base import PALChain, PALValidation
from langchain_experimental.pal_chain.colored_object_prompt import COLORED_OBJECT_PROMPT
from langchain_experimental.pal_chain.math_prompt import MATH_PROMPT
from tests.unit_tests.fake_llm import F... | langchain/libs/experimental/tests/unit_tests/test_pal.py/0 | {
"file_path": "langchain/libs/experimental/tests/unit_tests/test_pal.py",
"repo_id": "langchain",
"token_count": 3832
} | 442 |
// 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/data_node.go/0 | {
"file_path": "milvus/internal/datanode/data_node.go",
"repo_id": "milvus",
"token_count": 5427
} | 1,699 |
<jupyter_start><jupyter_text>YouTube>[YouTube Search](https://github.com/joetats/youtube_search) package searches `YouTube` videos avoiding using their heavily rate-limited API.>>It uses the form on the `YouTube` homepage and scrapes the resulting page.This notebook shows how to use a tool to search YouTube.Adapted fro... | langchain/docs/docs/integrations/tools/youtube.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/tools/youtube.ipynb",
"repo_id": "langchain",
"token_count": 221
} | 178 |
from llama_index.vector_stores.deeplake.base import DeepLakeVectorStore
__all__ = ["DeepLakeVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/llama_index/vector_stores/deeplake/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/llama_index/vector_stores/deeplake/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,517 |
## Running Yolo Examples
Here, we provide two examples of how to run YOLOv8 using a Candle-compiled WASM binary and runtimes.
### Pure Rust UI
To build and test the UI made in Rust you will need [Trunk](https://trunkrs.dev/#install)
From the `candle-wasm-examples/yolo` directory run:
Download assets:
```bash
wget ... | candle/candle-wasm-examples/yolo/README.md/0 | {
"file_path": "candle/candle-wasm-examples/yolo/README.md",
"repo_id": "candle",
"token_count": 412
} | 86 |
export { AutoGPTPrompt, type AutoGPTPromptInput } from "./prompt.js";
export { AutoGPTOutputParser, preprocessJsonInput } from "./output_parser.js";
export { AutoGPT, type AutoGPTInput } from "./agent.js";
export type { AutoGPTAction } from "./schema.js";
| langchainjs/langchain/src/experimental/autogpt/index.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/autogpt/index.ts",
"repo_id": "langchainjs",
"token_count": 87
} | 879 |
## Textual Inversion fine-tuning example for SDXL
```
export MODEL_NAME="stabilityai/stable-diffusion-xl-base-1.0"
export DATA_DIR="./cat"
accelerate launch textual_inversion_sdxl.py \
--pretrained_model_name_or_path=$MODEL_NAME \
--train_data_dir=$DATA_DIR \
--learnable_property="object" \
--placeholder_toke... | diffusers/examples/textual_inversion/README_sdxl.md/0 | {
"file_path": "diffusers/examples/textual_inversion/README_sdxl.md",
"repo_id": "diffusers",
"token_count": 294
} | 214 |
from langchain_community.document_loaders.college_confidential import (
CollegeConfidentialLoader,
)
__all__ = ["CollegeConfidentialLoader"]
| langchain/libs/langchain/langchain/document_loaders/college_confidential.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/college_confidential.py",
"repo_id": "langchain",
"token_count": 41
} | 502 |
import { getEnvironmentVariable } from "@langchain/core/utils/env";
import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
import { chunkArray } from "@langchain/core/utils/chunk_array";
/**
* Interface that extends EmbeddingsParams and defines additional
* parameters specific to the CohereEmbedd... | langchainjs/libs/langchain-community/src/embeddings/cohere.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/embeddings/cohere.ts",
"repo_id": "langchainjs",
"token_count": 1505
} | 980 |
# LangSmith Client SDKs
This repository contains the Python and Javascript SDK's for interacting with the [LangSmith platform](https://smith.langchain.com/).
LangSmith helps your team debug, evaluate, and monitor your language models and intelligent agents. It works
with any LLM Application, including a native integr... | langsmith-sdk/README.md/0 | {
"file_path": "langsmith-sdk/README.md",
"repo_id": "langsmith-sdk",
"token_count": 883
} | 1,143 |
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