text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<script lang="ts">
import { fade } from "svelte/transition";
import IconDazzled from "$lib/components/icons/IconDazzled.svelte";
export let message = "";
</script>
<div
transition:fade|global={{ duration: 300 }}
class="pointer-events-none fixed right-0 top-12 z-20 bg-gradient-to-bl from-red-500/20 via-red-500/0... | chat-ui/src/lib/components/Toast.svelte/0 | {
"file_path": "chat-ui/src/lib/components/Toast.svelte",
"repo_id": "chat-ui",
"token_count": 259
} | 102 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.wordlift import WordLiftLoader
def test_class():
names_of_base_classes = [b.__name__ for b in WordLiftLoader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-wordlift/tests/test_readers_wordlift.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wordlift/tests/test_readers_wordlift.py",
"repo_id": "llama_index",
"token_count": 90
} | 1,438 |
from langchain.schema.runnable.retry import __all__
EXPECTED_ALL = ["RunnableRetry", "U"]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/schema/runnable/test_retry.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/schema/runnable/test_retry.py",
"repo_id": "langchain",
"token_count": 69
} | 615 |
import { logVersion010MigrationWarning } from "../../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "stores/message/dynamodb",
});
export * from "@langchain/community/stores/message/dynamodb";
| langchainjs/langchain/src/stores/message/dynamodb.ts/0 | {
"file_path": "langchainjs/langchain/src/stores/message/dynamodb.ts",
"repo_id": "langchainjs",
"token_count": 79
} | 912 |
# Llama Packs 🦙📦
## Concept
Llama Packs are a community-driven hub of **prepackaged modules/templates** you can use to kickstart your LLM app.
This directly tackles a big pain point in building LLM apps; every use case requires cobbling together custom components and a lot of tuning/dev time. Our goal is to accele... | llama_index/docs/community/llama_packs/root.md/0 | {
"file_path": "llama_index/docs/community/llama_packs/root.md",
"repo_id": "llama_index",
"token_count": 721
} | 1,040 |
import random
import torch
from huggingface_hub import HfApi
from diffusers import UNet2DModel
api = HfApi()
results = {}
# fmt: off
results["google_ddpm_cifar10_32"] = torch.tensor([
-0.7515, -1.6883, 0.2420, 0.0300, 0.6347, 1.3433, -1.1743, -3.7467,
1.2342, -2.2485, 0.4636, 0.8076, -0.7991, 0.3969, 0.849... | diffusers/scripts/generate_logits.py/0 | {
"file_path": "diffusers/scripts/generate_logits.py",
"repo_id": "diffusers",
"token_count": 3536
} | 229 |
# coding=utf-8
# Copyright 2020, The RAG Authors and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/rag/modeling_rag.py/0 | {
"file_path": "transformers/src/transformers/models/rag/modeling_rag.py",
"repo_id": "transformers",
"token_count": 36357
} | 711 |
import os
from operator import itemgetter
from typing import List, Tuple
from langchain.schema import AIMessage, HumanMessage, format_document
from langchain_community.chat_models import ChatOpenAI
from langchain_community.vectorstores.zep import CollectionConfig, ZepVectorStore
from langchain_core.documents import Do... | langchain/templates/rag-conversation-zep/rag_conversation_zep/chain.py/0 | {
"file_path": "langchain/templates/rag-conversation-zep/rag_conversation_zep/chain.py",
"repo_id": "langchain",
"token_count": 1720
} | 679 |
search_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/sift_10m_100000_128_l2
cache_config.cpu_cache_capacity: 32GB
engine_config.use_blas_threshold: 0
engine_config.gpu_search_threshold: 100
gpu_resource_config.enable: true
... | milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_search_sift10m_100k.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_gpu_search_sift10m_100k.yaml",
"repo_id": "milvus",
"token_count": 2017
} | 2,002 |
// 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/target_observer_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/observers/target_observer_test.go",
"repo_id": "milvus",
"token_count": 3645
} | 1,844 |
from typing import List
from langchain_core.embeddings import Embeddings
class __ModuleName__Embeddings(Embeddings):
"""__ModuleName__Embeddings embedding model.
Example:
.. code-block:: python
from __module_name__ import __ModuleName__Embeddings
model = __ModuleName__Embed... | langchain/libs/cli/langchain_cli/integration_template/integration_template/embeddings.py/0 | {
"file_path": "langchain/libs/cli/langchain_cli/integration_template/integration_template/embeddings.py",
"repo_id": "langchain",
"token_count": 393
} | 199 |
# coding=utf-8
# Copyright 2022 Facebook AI and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | transformers/src/transformers/models/vit_mae/modeling_vit_mae.py/0 | {
"file_path": "transformers/src/transformers/models/vit_mae/modeling_vit_mae.py",
"repo_id": "transformers",
"token_count": 17941
} | 764 |
search_performance:
collections:
-
server:
db_config.primary_path: /test/milvus/db_data_011/filter/sift_10m_128_l2/
cache_config.cpu_cache_capacity: 32GB
engine_config.use_blas_threshold: 0
engine_config.gpu_search_threshold: 100
gpu_resource_config.enable: true
... | milvus/tests/benchmark/milvus_benchmark/suites/011_search_dsl.yaml/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/suites/011_search_dsl.yaml",
"repo_id": "milvus",
"token_count": 1408
} | 1,970 |
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.postprocessor.longllmlingua import LongLLMLinguaPostprocessor
def test_class():
names_of_base_classes = [b.__name__ for b in LongLLMLinguaPostprocessor.__mro__]
assert BaseNodePostprocessor.__name__ in names_of_base_classe... | llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/tests/test_postprocessor_longllmlingua.py/0 | {
"file_path": "llama_index/llama-index-integrations/postprocessor/llama-index-postprocessor-longllmlingua/tests/test_postprocessor_longllmlingua.py",
"repo_id": "llama_index",
"token_count": 103
} | 1,437 |
use std::ffi::CString;
use std::ffi::{c_char, c_int};
use crate::errors::{ChromaError, ErrorCodes};
use super::{Index, IndexConfig, PersistentIndex};
use crate::types::{Metadata, MetadataValue, MetadataValueConversionError, Segment};
use thiserror::Error;
// https://doc.rust-lang.org/nomicon/ffi.html#representing-op... | chroma/rust/worker/src/index/hnsw.rs/0 | {
"file_path": "chroma/rust/worker/src/index/hnsw.rs",
"repo_id": "chroma",
"token_count": 9395
} | 55 |
<jupyter_start><jupyter_text>LLM Reranker Demonstration (Great Gatsby)This tutorial showcases how to do a two-stage pass for retrieval. Use embedding-based retrieval with a high top-k valuein order to maximize recall and get a large set of candidate items. Then, use LLM-based retrievalto dynamically select the nodes th... | llama_index/docs/examples/node_postprocessor/LLMReranker-Gatsby.ipynb/0 | {
"file_path": "llama_index/docs/examples/node_postprocessor/LLMReranker-Gatsby.ipynb",
"repo_id": "llama_index",
"token_count": 1874
} | 1,202 |
# 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/pipelines/blip_diffusion/modeling_blip2.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/blip_diffusion/modeling_blip2.py",
"repo_id": "diffusers",
"token_count": 12075
} | 251 |
use crate::processors::byte_level::process_offsets;
use crate::tokenizer::{Encoding, PostProcessor, Result};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::iter::FromIterator;
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq)]
#[serde(tag = "type")]
pub struct RobertaProcessin... | tokenizers/tokenizers/src/processors/roberta.rs/0 | {
"file_path": "tokenizers/tokenizers/src/processors/roberta.rs",
"repo_id": "tokenizers",
"token_count": 8419
} | 457 |
# coding=utf-8
# Copyright 2022 Meta Platforms authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licens... | transformers/tests/models/flava/test_modeling_flava.py/0 | {
"file_path": "transformers/tests/models/flava/test_modeling_flava.py",
"repo_id": "transformers",
"token_count": 25176
} | 713 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/callbacks/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/callbacks/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,640 |
# LLMonitor
>[LLMonitor](https://llmonitor.com?utm_source=langchain&utm_medium=py&utm_campaign=docs) is an open-source observability platform that provides cost and usage analytics, user tracking, tracing and evaluation tools.
## Installation and Setup
Create an account on [llmonitor.com](https://llmonitor.com?utm_s... | langchain/docs/docs/integrations/providers/llmonitor.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/llmonitor.mdx",
"repo_id": "langchain",
"token_count": 194
} | 137 |
<!-- DISABLE-FRONTMATTER-SECTIONS -->
# Tokenizers
Fast State-of-the-art tokenizers, optimized for both research and
production
[🤗 Tokenizers](https://github.com/huggingface/tokenizers) provides an
implementation of today's most used tokenizers, with a focus on
performance and versatility. These tokenizers are also... | tokenizers/docs/source-doc-builder/index.mdx/0 | {
"file_path": "tokenizers/docs/source-doc-builder/index.mdx",
"repo_id": "tokenizers",
"token_count": 250
} | 450 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-upstash/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-upstash/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,629 |
from typing import List
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.prompts.guidance_utils import (
convert_to_handlebars,
pydantic_to_guidance_output_template,
)
def test_convert_to_handlebars() -> None:
test_str = "This is a string with {variable} and {{key: value}}"
... | llama_index/llama-index-core/tests/prompts/test_guidance_utils.py/0 | {
"file_path": "llama_index/llama-index-core/tests/prompts/test_guidance_utils.py",
"repo_id": "llama_index",
"token_count": 523
} | 1,324 |
# Play with Huggy [[play]]
Now that you've trained Huggy and pushed it to the Hub. **You will be able to play with him ❤️**
For this step it’s simple:
- Open the Huggy game in your browser: https://huggingface.co/spaces/ThomasSimonini/Huggy
- Click on Play with my Huggy model
<img src="https://huggingface.co/datase... | deep-rl-class/units/en/unitbonus1/play.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus1/play.mdx",
"repo_id": "deep-rl-class",
"token_count": 271
} | 160 |
// 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/rootcoord/util_test.go/0 | {
"file_path": "milvus/internal/rootcoord/util_test.go",
"repo_id": "milvus",
"token_count": 2861
} | 1,858 |
import os
import random
import gc
import time
# Borrowed from https://github.com/rogerbinns/apsw/blob/master/apsw/tests.py#L224
# Used to delete sqlite files on Windows, since Windows file locking
# behaves differently to other operating systems
# This should only be used for test or non-production code, such as in r... | chroma/chromadb/utils/delete_file.py/0 | {
"file_path": "chroma/chromadb/utils/delete_file.py",
"repo_id": "chroma",
"token_count": 570
} | 25 |
"""Filter that uses an LLM to drop documents that aren't relevant to the query."""
from typing import Any, Callable, Dict, Optional, Sequence
from langchain_core.documents import Document
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate, PromptTemplate
... | langchain/libs/langchain/langchain/retrievers/document_compressors/chain_filter.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/document_compressors/chain_filter.py",
"repo_id": "langchain",
"token_count": 1012
} | 580 |
import {
collapseDocs,
splitListOfDocs,
} from "langchain/chains/combine_documents/reduce";
import { ChatOpenAI } from "@langchain/openai";
import { formatDocument } from "langchain/schema/prompt_template";
import {
RunnablePassthrough,
RunnableSequence,
} from "@langchain/core/runnables";
import { BaseCallback... | langchainjs/examples/src/chains/map_reduce_lcel.ts/0 | {
"file_path": "langchainjs/examples/src/chains/map_reduce_lcel.ts",
"repo_id": "langchainjs",
"token_count": 1980
} | 761 |
import pytest
from langchain_core.messages import AIMessage, HumanMessage, SystemMessage
from langchain_community.chat_models.llama_edge import LlamaEdgeChatService
@pytest.mark.enable_socket
def test_chat_wasm_service() -> None:
"""This test requires the port 8080 is not occupied."""
# service url
serv... | langchain/libs/community/tests/integration_tests/chat_models/test_llama_edge.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_llama_edge.py",
"repo_id": "langchain",
"token_count": 541
} | 350 |
from langchain_community.utilities.sql_database import (
SQLDatabase,
truncate_word,
)
__all__ = ["truncate_word", "SQLDatabase"]
| langchain/libs/langchain/langchain/utilities/sql_database.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/sql_database.py",
"repo_id": "langchain",
"token_count": 50
} | 575 |
{
"name": "@langchain/azure-openai",
"version": "0.0.1",
"description": "Azure SDK for OpenAI integrations for LangChain.js",
"type": "module",
"engines": {
"node": ">=18"
},
"main": "./index.js",
"types": "./index.d.ts",
"repository": {
"type": "git",
"url": "git@github.com:langchain-ai/l... | langchainjs/libs/langchain-azure-openai/package.json/0 | {
"file_path": "langchainjs/libs/langchain-azure-openai/package.json",
"repo_id": "langchainjs",
"token_count": 1826
} | 971 |
<jupyter_start><jupyter_text>Agent Trajectory[](https://colab.research.google.com/github/langchain-ai/langchain/blob/master/docs/docs/guides/evaluation/trajectory/trajectory_eval.ipynb)Agents can be difficult to holistically evaluate due to the breadth of actions and generation they can make. We recommend using multipl... | langchain/docs/docs/guides/evaluation/trajectory/trajectory_eval.ipynb/0 | {
"file_path": "langchain/docs/docs/guides/evaluation/trajectory/trajectory_eval.ipynb",
"repo_id": "langchain",
"token_count": 1822
} | 91 |
fn main() {
println!("cargo:rerun-if-changed=build.rs");
let builder = bindgen_cuda::Builder::default();
println!("cargo:info={builder:?}");
let bindings = builder.build_ptx().unwrap();
bindings.write("src/lib.rs").unwrap();
}
| candle/candle-kernels/build.rs/0 | {
"file_path": "candle/candle-kernels/build.rs",
"repo_id": "candle",
"token_count": 96
} | 57 |
from unittest.mock import MagicMock, patch
import pytest
try:
import google.ai.generativelanguage as genai
has_google = True
except ImportError:
has_google = False
from llama_index.legacy.response_synthesizers.google.generativeai import (
GoogleTextSynthesizer,
set_google_config,
)
from llama_in... | llama_index/llama-index-legacy/tests/response_synthesizers/test_google.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/response_synthesizers/test_google.py",
"repo_id": "llama_index",
"token_count": 4788
} | 1,816 |
syntax = "proto3";
package milvus.proto.etcd;
option go_package="github.com/milvus-io/milvus/internal/proto/etcdpb";
import "common.proto";
import "schema.proto";
// this proto only used to describe object that will persist into etcd
message IndexInfo {
string index_name = 1;
int64 indexID = 2;
repeated common... | milvus/internal/proto/etcd_meta.proto/0 | {
"file_path": "milvus/internal/proto/etcd_meta.proto",
"repo_id": "milvus",
"token_count": 993
} | 1,839 |
package gcp
import (
"net/http"
"strings"
"github.com/cockroachdb/errors"
"github.com/minio/minio-go/v7"
"github.com/minio/minio-go/v7/pkg/credentials"
"go.uber.org/atomic"
"golang.org/x/oauth2"
"golang.org/x/oauth2/google"
)
// WrapHTTPTransport wraps http.Transport, add an auth header to support GCP native... | milvus/internal/storage/gcp/gcp.go/0 | {
"file_path": "milvus/internal/storage/gcp/gcp.go",
"repo_id": "milvus",
"token_count": 939
} | 1,786 |
# 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 required by appl... | trl/examples/research_projects/stack_llama/scripts/rl_training.py/0 | {
"file_path": "trl/examples/research_projects/stack_llama/scripts/rl_training.py",
"repo_id": "trl",
"token_count": 3627
} | 880 |
from langchain_community.document_loaders.etherscan import EtherscanLoader
__all__ = ["EtherscanLoader"]
| langchain/libs/langchain/langchain/document_loaders/etherscan.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/etherscan.py",
"repo_id": "langchain",
"token_count": 30
} | 489 |
from langchain.document_loaders.parsers import __all__
def test_parsers_public_api_correct() -> None:
"""Test public API of parsers for breaking changes."""
assert set(__all__) == {
"BS4HTMLParser",
"DocAIParser",
"GrobidParser",
"LanguageParser",
"OpenAIWhisperParser",... | langchain/libs/langchain/tests/unit_tests/document_loaders/parsers/test_public_api.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/document_loaders/parsers/test_public_api.py",
"repo_id": "langchain",
"token_count": 210
} | 603 |
"""Power BI agent."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Dict, List, Optional
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_community.agent_toolkits.powerbi.prompt import (
POWERB... | langchain/libs/community/langchain_community/agent_toolkits/powerbi/chat_base.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/powerbi/chat_base.py",
"repo_id": "langchain",
"token_count": 973
} | 209 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
import Example from "@examples/agents/vectorstore.ts";
# VectorStore Agent Toolkit
import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
<IntegrationInstallTooltip></IntegrationInstallTooltip>
```bash ... | langchainjs/docs/core_docs/docs/integrations/toolkits/vectorstore.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/toolkits/vectorstore.mdx",
"repo_id": "langchainjs",
"token_count": 155
} | 791 |
"""Send Gmail messages."""
import base64
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from typing import Any, Dict, List, Optional, Type, Union
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_c... | langchain/libs/community/langchain_community/tools/gmail/send_message.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/gmail/send_message.py",
"repo_id": "langchain",
"token_count": 1261
} | 288 |
// 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/balance/priority_queue.go/0 | {
"file_path": "milvus/internal/querycoordv2/balance/priority_queue.go",
"repo_id": "milvus",
"token_count": 640
} | 1,837 |
<!---
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 ... | transformers/scripts/tatoeba/README.md/0 | {
"file_path": "transformers/scripts/tatoeba/README.md",
"repo_id": "transformers",
"token_count": 761
} | 588 |
"""Wrapper around Vald vector database."""
from __future__ import annotations
from typing import Any, Iterable, List, Optional, Tuple, Type
import numpy as np
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.vectorstores import VectorStore
from langch... | langchain/libs/community/langchain_community/vectorstores/vald.py/0 | {
"file_path": "langchain/libs/community/langchain_community/vectorstores/vald.py",
"repo_id": "langchain",
"token_count": 6449
} | 331 |
from __future__ import annotations
from typing import Optional, Type
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import BaseModel, root_validator
from langchain_community.tools.playwright.base import BaseBrowserTool
from ... | langchain/libs/community/langchain_community/tools/playwright/extract_text.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/playwright/extract_text.py",
"repo_id": "langchain",
"token_count": 888
} | 316 |
package common
import semver "github.com/blang/semver/v4"
// Version current version for session
var Version semver.Version
func init() {
Version, _ = semver.Parse("2.3.2")
}
| milvus/pkg/common/version.go/0 | {
"file_path": "milvus/pkg/common/version.go",
"repo_id": "milvus",
"token_count": 63
} | 1,814 |
from llama_index.question_gen.openai.base import OpenAIQuestionGenerator
__all__ = ["OpenAIQuestionGenerator"]
| llama_index/llama-index-integrations/question_gen/llama-index-question-gen-openai/llama_index/question_gen/openai/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/question_gen/llama-index-question-gen-openai/llama_index/question_gen/openai/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,363 |
from neo4j_vector_memory.chain import chain
if __name__ == "__main__":
user_id = "user_id_1"
session_id = "session_id_1"
original_query = "What is the plot of the Dune?"
print( # noqa: T201
chain.invoke(
{"question": original_query, "user_id": user_id, "session_id": session_id}
... | langchain/templates/neo4j-vector-memory/main.py/0 | {
"file_path": "langchain/templates/neo4j-vector-memory/main.py",
"repo_id": "langchain",
"token_count": 245
} | 666 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test, expect } from "@jest/globals";
import { createClient } from "@supabase/supabase-js";
import { OpenAIEmbeddings } from "@langchain/openai";
import { SupabaseHybridSearch } from "../supabase.js";
test.skip("S... | langchainjs/libs/langchain-community/src/retrievers/tests/supabase.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/retrievers/tests/supabase.int.test.ts",
"repo_id": "langchainjs",
"token_count": 275
} | 1,033 |
"""Test functionality related to combining documents."""
from typing import Any, List
import pytest
from langchain_core.documents import Document
from langchain_core.prompts import PromptTemplate, format_document
from langchain.chains.combine_documents.reduce import (
collapse_docs,
split_list_of_docs,
)
fro... | langchain/libs/langchain/tests/unit_tests/chains/test_combine_documents.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/chains/test_combine_documents.py",
"repo_id": "langchain",
"token_count": 1780
} | 634 |
import json
import logging
from abc import ABC, abstractmethod
from typing import Any, List, Optional
from sqlalchemy import Column, Integer, Text, create_engine
try:
from sqlalchemy.orm import declarative_base
except ImportError:
from sqlalchemy.ext.declarative import declarative_base
from langchain_core.cha... | langchain/libs/community/langchain_community/chat_message_histories/sql.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/sql.py",
"repo_id": "langchain",
"token_count": 1896
} | 235 |
# coding=utf-8
# Copyright 2022 Meta Platforms authors 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/LI... | transformers/src/transformers/models/flava/configuration_flava.py/0 | {
"file_path": "transformers/src/transformers/models/flava/configuration_flava.py",
"repo_id": "transformers",
"token_count": 15116
} | 688 |
from typing import Any, Dict, List, Tuple, Union
import pytest
from langchain_core.documents import Document
from langchain.callbacks.manager import (
AsyncCallbackManagerForRetrieverRun,
CallbackManagerForRetrieverRun,
)
from langchain.chains.query_constructor.ir import (
Comparator,
Comparison,
... | langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_base.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/retrievers/self_query/test_base.py",
"repo_id": "langchain",
"token_count": 1705
} | 606 |
from llama_index.core.vector_stores.types import VectorStore
from llama_index.vector_stores.azurecosmosmongo import AzureCosmosDBMongoDBVectorSearch
def test_class():
names_of_base_classes = [
b.__name__ for b in AzureCosmosDBMongoDBVectorSearch.__mro__
]
assert VectorStore.__name__ in names_of_ba... | llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/tests/test_vector_stores_azurecosmosmongo.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-azurecosmosmongo/tests/test_vector_stores_azurecosmosmongo.py",
"repo_id": "llama_index",
"token_count": 118
} | 1,511 |
[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 = ["VoyageQueryEnginePack"]
contains_example = true
import_path = "llama_index.packs.voyage_q... | llama_index/llama-index-packs/llama-index-packs-voyage-query-engine/pyproject.toml/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-voyage-query-engine/pyproject.toml",
"repo_id": "llama_index",
"token_count": 723
} | 1,603 |
from llama_index.readers.weaviate.base import WeaviateReader
__all__ = ["WeaviateReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-weaviate/llama_index/readers/weaviate/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-weaviate/llama_index/readers/weaviate/__init__.py",
"repo_id": "llama_index",
"token_count": 32
} | 1,441 |
# coding=utf-8
# Copyright 2021 The Fairseq Authors and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/... | transformers/src/transformers/models/xglm/modeling_flax_xglm.py/0 | {
"file_path": "transformers/src/transformers/models/xglm/modeling_flax_xglm.py",
"repo_id": "transformers",
"token_count": 14613
} | 677 |
/* eslint-disable global-require,import/no-extraneous-dependencies */
// @ts-check
// Note: type annotations allow type checking and IDEs autocompletion
// eslint-disable-next-line import/no-extraneous-dependencies
const { ProvidePlugin } = require("webpack");
const path = require("path");
const examplesPath = path.r... | langchainjs/docs/core_docs/docusaurus.config.js/0 | {
"file_path": "langchainjs/docs/core_docs/docusaurus.config.js",
"repo_id": "langchainjs",
"token_count": 4455
} | 758 |
<jupyter_start><jupyter_text>Chroma>[Chroma](https://docs.trychroma.com/getting-started) is a AI-native open-source vector database focused on developer productivity and happiness. Chroma is licensed under Apache 2.0. - [Website](https://www.trychroma.com/)- [Documentation](ht... | llama_index/docs/examples/vector_stores/ChromaIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/ChromaIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 2729
} | 1,214 |
# Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | datasets/src/datasets/load.py/0 | {
"file_path": "datasets/src/datasets/load.py",
"repo_id": "datasets",
"token_count": 52316
} | 132 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class AlbertTokenizer(metaclass=DummyObject):
_backends = ["sentencepiece"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["sentencepiece"])
class BarthezTok... | transformers/src/transformers/utils/dummy_sentencepiece_objects.py/0 | {
"file_path": "transformers/src/transformers/utils/dummy_sentencepiece_objects.py",
"repo_id": "transformers",
"token_count": 2376
} | 690 |
export * from "@langchain/core/caches";
| langchainjs/langchain/src/cache/base.ts/0 | {
"file_path": "langchainjs/langchain/src/cache/base.ts",
"repo_id": "langchainjs",
"token_count": 13
} | 875 |
from llama_index.vector_stores.neo4jvector.base import Neo4jVectorStore
__all__ = ["Neo4jVectorStore"]
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/llama_index/vector_stores/neo4jvector/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-neo4jvector/llama_index/vector_stores/neo4jvector/__init__.py",
"repo_id": "llama_index",
"token_count": 38
} | 1,668 |
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/data/datasets/language_modeling.py/0 | {
"file_path": "transformers/src/transformers/data/datasets/language_modeling.py",
"repo_id": "transformers",
"token_count": 11449
} | 619 |
/*
* 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... | milvus/pkg/mq/msgstream/msg_for_database_test.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/msg_for_database_test.go",
"repo_id": "milvus",
"token_count": 1176
} | 2,043 |
<jupyter_start><jupyter_code># Setup OpenAI Agent
from llama_index.agent import OpenAIAgent
import openai
openai.api_key = "sk-your-key"
# Import and initialize our tool spec
from llama_index.tools.yelp.base import YelpToolSpec
from llama_index.tools.tool_spec.load_and_search.base import LoadAndSearchToolSpec
tool_sp... | llama_index/llama-index-integrations/tools/llama-index-tools-yelp/examples/yelp.ipynb/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-yelp/examples/yelp.ipynb",
"repo_id": "llama_index",
"token_count": 469
} | 1,590 |
"""Test Vertex AI API wrapper.
In order to run this test, you need to install VertexAI SDK (that is is the private
preview) and be whitelisted to list the models themselves:
In order to run this test, you need to install VertexAI SDK
pip install google-cloud-aiplatform>=1.35.0
Your end-user credentials would be used... | langchain/libs/community/tests/integration_tests/chat_models/test_vertexai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_vertexai.py",
"repo_id": "langchain",
"token_count": 3963
} | 320 |
from typing import Any, Dict, Optional
import httpx
from llama_index.core.bridge.pydantic import Field, PrivateAttr, root_validator
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.constants import DEFAULT_EMBED_BATCH_SIZE
from llama_index.core.llms.generic_utils import get_from_param_... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-azure-openai/llama_index/embeddings/azure_openai/base.py",
"repo_id": "llama_index",
"token_count": 1957
} | 1,233 |
"""Run evaluator wrapper for string evaluators."""
from __future__ import annotations
from abc import abstractmethod
from typing import Any, Dict, List, Optional
from langchain_core.load.dump import dumpd
from langchain_core.load.load import load
from langchain_core.load.serializable import Serializable
from langchai... | langchain/libs/langchain/langchain/smith/evaluation/string_run_evaluator.py/0 | {
"file_path": "langchain/libs/langchain/langchain/smith/evaluation/string_run_evaluator.py",
"repo_id": "langchain",
"token_count": 7367
} | 542 |
<jupyter_start><jupyter_text>DocArray Hnsw Vector Store[DocArrayHnswVectorStore](https://docs.docarray.org/user_guide/storing/index_hnswlib/) is a lightweight Document Index implementation provided by [DocArray](https://github.com/docarray/docarray) that runs fully locally and is best suited for small- to medium-sized ... | llama_index/docs/examples/vector_stores/DocArrayHnswIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/DocArrayHnswIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1444
} | 1,110 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import type { BaseRetrieverInterface } from "@langchain/core/retrievers";
import { ChainValues } from "@langchain/core/utils/types";
import { CallbackManagerForChainRun } from "@langchain/core/callbacks/manager";
import { BaseChain,... | langchainjs/langchain/src/chains/retrieval_qa.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/retrieval_qa.ts",
"repo_id": "langchainjs",
"token_count": 1499
} | 958 |
import * as uuid from "uuid";
import { ClickHouseClient, createClient } from "@clickhouse/client";
import { format } from "mysql2";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { VectorStore } from "@langchain/core/vectorstores";
import { Document } from "@langchain/core/documents";
/*... | langchainjs/libs/langchain-community/src/vectorstores/clickhouse.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/clickhouse.ts",
"repo_id": "langchainjs",
"token_count": 3523
} | 965 |
from llama_index.storage.index_store.postgres.base import PostgresIndexStore
__all__ = ["PostgresIndexStore"]
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/llama_index/storage/index_store/postgres/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-postgres/llama_index/storage/index_store/postgres/__init__.py",
"repo_id": "llama_index",
"token_count": 34
} | 1,463 |
import pytest
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.exceptions import OutputParserException
from langchain.agents.output_parsers.react_single_input import (
ReActSingleInputOutputParser,
)
def test_action() -> None:
"""Test standard parsing of action/action input."""
... | langchain/libs/langchain/tests/unit_tests/agents/output_parsers/test_react_single_input.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/agents/output_parsers/test_react_single_input.py",
"repo_id": "langchain",
"token_count": 433
} | 591 |
// 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/storage/IndexData.cpp/0 | {
"file_path": "milvus/internal/core/src/storage/IndexData.cpp",
"repo_id": "milvus",
"token_count": 1560
} | 1,806 |
# Optuna Tutorial [[optuna]]
The content below comes from [Antonin's Raffin ICRA 2022 presentations](https://araffin.github.io/tools-for-robotic-rl-icra2022/), he's one of the founders of Stable-Baselines and RL-Baselines3-Zoo.
## The theory behind Hyperparameter tuning
<Youtube id="AidFTOdGNFQ" />
## Optuna Tuto... | deep-rl-class/units/en/unitbonus2/optuna.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus2/optuna.mdx",
"repo_id": "deep-rl-class",
"token_count": 182
} | 168 |
import {
SimpleChatModel,
type BaseChatModelParams,
} from "@langchain/core/language_models/chat_models";
import { CallbackManagerForLLMRun } from "@langchain/core/callbacks/manager";
import { AIMessageChunk, type BaseMessage } from "@langchain/core/messages";
import { ChatGenerationChunk } from "@langchain/core/ou... | langchainjs/examples/src/models/chat/custom.ts/0 | {
"file_path": "langchainjs/examples/src/models/chat/custom.ts",
"repo_id": "langchainjs",
"token_count": 696
} | 798 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/question_gen/llama-index-question-gen-openai/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/question_gen/llama-index-question-gen-openai/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,274 |
import argparse
import os
import torch
from diffusers import (
CMStochasticIterativeScheduler,
ConsistencyModelPipeline,
UNet2DModel,
)
TEST_UNET_CONFIG = {
"sample_size": 32,
"in_channels": 3,
"out_channels": 3,
"layers_per_block": 2,
"num_class_embeds": 1000,
"block_out_channel... | diffusers/scripts/convert_consistency_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_consistency_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 5773
} | 225 |
# LlamaIndex Index_Store Integration: Redis Index Store
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/README.md",
"repo_id": "llama_index",
"token_count": 14
} | 1,421 |
"""Azure Cognitive Search reader.
A loader that fetches documents from specific index.
"""
from typing import List, Optional
from azure.core.credentials import AzureKeyCredential
from azure.search.documents import SearchClient
from llama_index.core.readers.base import BaseReader
from llama_index.core.schema import D... | llama_index/llama-index-integrations/readers/llama-index-readers-azcognitive-search/llama_index/readers/azcognitive_search/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-azcognitive-search/llama_index/readers/azcognitive_search/base.py",
"repo_id": "llama_index",
"token_count": 804
} | 1,268 |
from typing import TYPE_CHECKING
from langchain_community.document_loaders.parsers.language.tree_sitter_segmenter import ( # noqa: E501
TreeSitterSegmenter,
)
if TYPE_CHECKING:
from tree_sitter import Language
CHUNK_QUERY = """
[
(function_item
name: (identifier)
body: (... | langchain/libs/community/langchain_community/document_loaders/parsers/language/rust.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/parsers/language/rust.py",
"repo_id": "langchain",
"token_count": 326
} | 258 |
- title: Introduction au cours
sections:
- local: unit0/1
title: Introduction
- title: 1. Introduction aux modèles de diffusion
sections:
- local: unit1/1
title: Vue d'ensemble
- local: unit1/2
title: Introduction à 🤗 Diffusers
- local: unit1/3
title: Implémentation à partir de 0
- title:... | diffusion-models-class/units/fr/_toctree.yml/0 | {
"file_path": "diffusion-models-class/units/fr/_toctree.yml",
"repo_id": "diffusion-models-class",
"token_count": 494
} | 280 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { describe, expect } from "@jest/globals";
import { faker } from "@faker-js/faker";
import {
PreviewVectorIndexClient,
VectorIndexConfigurations,
CredentialProvider,
} from "@gomomento/sdk";
import * as uuid f... | langchainjs/libs/langchain-community/src/vectorstores/tests/momento_vector_index.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/momento_vector_index.int.test.ts",
"repo_id": "langchainjs",
"token_count": 2141
} | 1,009 |
import { test, expect } from "@jest/globals";
import { BaseLLM } from "@langchain/core/language_models/llms";
import { LLMResult } from "@langchain/core/outputs";
import { MultiPromptChain } from "../multi_prompt.js";
let pickedPrompt: string;
class FakeLLM extends BaseLLM {
_llmType(): string {
return "fake";
... | langchainjs/langchain/src/chains/router/tests/multi_prompt.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/router/tests/multi_prompt.test.ts",
"repo_id": "langchainjs",
"token_count": 806
} | 959 |
<jupyter_start><jupyter_text>Vectara>[Vectara](https://vectara.com/) is the trusted GenAI platform that provides an easy-to-use API for document indexing and querying. Vectara provides an end-to-end managed service for Retrieval Augmented Generation or [RAG](https://vectara.com/grounded-generation/), which includes:1. ... | langchain/docs/docs/integrations/providers/vectara/vectara_summary.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/providers/vectara/vectara_summary.ipynb",
"repo_id": "langchain",
"token_count": 1973
} | 149 |
.PHONY: all format lint test tests test_watch integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
test:
poetry run pytest $(TEST_FILE)
tests:
poetry run pytest $(TEST_... | langchain/libs/experimental/Makefile/0 | {
"file_path": "langchain/libs/experimental/Makefile",
"repo_id": "langchain",
"token_count": 798
} | 434 |
from typing import Any, Callable, Dict, List, Optional, Sequence, Union
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.runnables.base import RunnableLambda
from langchain_core.runnables.config import RunnableC... | langchain/libs/core/tests/unit_tests/runnables/test_history.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/runnables/test_history.py",
"repo_id": "langchain",
"token_count": 5877
} | 407 |
// 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/accesslog/global_test.go/0 | {
"file_path": "milvus/internal/proxy/accesslog/global_test.go",
"repo_id": "milvus",
"token_count": 2327
} | 1,841 |
# Yeager.ai
This page covers how to use [Yeager.ai](https://yeager.ai) to generate LangChain tools and agents.
## What is Yeager.ai?
Yeager.ai is an ecosystem designed to simplify the process of creating AI agents and tools.
It features yAgents, a No-code LangChain Agent Builder, which enables users to build, test,... | langchain/docs/docs/integrations/providers/yeagerai.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/yeagerai.mdx",
"repo_id": "langchain",
"token_count": 631
} | 162 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/tasks/prompting.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/prompting.md",
"repo_id": "transformers",
"token_count": 9970
} | 500 |
import { base } from "$app/paths";
import { authCondition } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { redirect } from "@sveltejs/kit";
export const actions = {
async delete({ locals }) {
// double check we have a user to delete conversations for
if (locals.user?._id || ... | chat-ui/src/routes/conversations/+page.server.ts/0 | {
"file_path": "chat-ui/src/routes/conversations/+page.server.ts",
"repo_id": "chat-ui",
"token_count": 158
} | 118 |
import uuid
from operator import itemgetter
import streamlit as st
from langchain.chat_models import ChatAnthropic
from langchain.document_loaders import RecursiveUrlLoader
from langchain.document_transformers import Html2TextTransformer
from langchain.embeddings import OpenAIEmbeddings
from langchain.memory import Co... | langsmith-cookbook/feedback-examples/streamlit-realtime-feedback/chain.py/0 | {
"file_path": "langsmith-cookbook/feedback-examples/streamlit-realtime-feedback/chain.py",
"repo_id": "langsmith-cookbook",
"token_count": 1859
} | 1,038 |
<jupyter_start><jupyter_text>Titan Takeoff>`TitanML` helps businesses build and deploy better, smaller, cheaper, and faster NLP models through our training, compression, and inference optimization platform. >Our inference server, [Titan Takeoff](https://docs.titanml.co/docs/titan-takeoff/getting-started) enables deploy... | langchain/docs/docs/integrations/llms/titan_takeoff.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/titan_takeoff.ipynb",
"repo_id": "langchain",
"token_count": 1084
} | 134 |
# Noisy Student (EfficientNet)
**Noisy Student Training** is a semi-supervised learning approach. It extends the idea of self-training
and distillation with the use of equal-or-larger student models and noise added to the student during learning. It has three main steps:
1. train a teacher model on labeled images
2.... | pytorch-image-models/docs/models/.templates/models/noisy-student.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/noisy-student.md",
"repo_id": "pytorch-image-models",
"token_count": 5862
} | 362 |
# Copyright 2021 The HuggingFace Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | datasets/metrics/wer/wer.py/0 | {
"file_path": "datasets/metrics/wer/wer.py",
"repo_id": "datasets",
"token_count": 1452
} | 146 |
#ifndef _config_h
#define _config_h
#define MAX_Q_GEMM_ROWS 50
#define MAX_Q_GEMM_WEIGHTS 4 // must be <= MAX_Q_GEMM_ROWS
#define QMODE_2BIT 1
#define QMODE_3BIT 1
#define QMODE_4BIT 1
#define QMODE_5BIT 1
#define QMODE_6BIT 0
#define QMODE_8BIT 0
#endif
| text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/config.h/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/config.h",
"repo_id": "text-generation-inference",
"token_count": 119
} | 435 |
import { resolve, dirname, parse, format } from "node:path";
import { readdir, readFile, writeFile } from "node:fs/promises";
import { fileURLToPath } from "node:url";
function abs(relativePath) {
return resolve(dirname(fileURLToPath(import.meta.url)), relativePath);
}
async function moveAndRename(source, dest) {
... | langchainjs/libs/langchain-scripts/scripts/move-cjs-to-dist.js/0 | {
"file_path": "langchainjs/libs/langchain-scripts/scripts/move-cjs-to-dist.js",
"repo_id": "langchainjs",
"token_count": 482
} | 998 |
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