text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
from langchain_community.tools.dataforseo_api_search.tool import (
DataForSeoAPISearchResults,
DataForSeoAPISearchRun,
)
__all__ = ["DataForSeoAPISearchRun", "DataForSeoAPISearchResults"]
| langchain/libs/langchain/langchain/tools/dataforseo_api_search/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/dataforseo_api_search/tool.py",
"repo_id": "langchain",
"token_count": 75
} | 597 |
from llama_index.callbacks.wandb.base import WandbCallbackHandler
__all__ = ["WandbCallbackHandler"]
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/llama_index/callbacks/wandb/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-wandb/llama_index/callbacks/wandb/__init__.py",
"repo_id": "llama_index",
"token_count": 33
} | 1,187 |
from collections import ChainMap
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponseAsyncGen... | llama_index/llama-index-core/llama_index/core/llms/llm.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/llms/llm.py",
"repo_id": "llama_index",
"token_count": 6636
} | 1,160 |
"""Reader that uses a Github Repo.
Repo taken from: https://github.com/mpoon/gpt-repository-loader
License attached:
MIT License
Copyright (c) 2023 mpoon
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the... | llama_index/llama-index-integrations/readers/llama-index-readers-gpt-repo/llama_index/readers/gpt_repo/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-gpt-repo/llama_index/readers/gpt_repo/base.py",
"repo_id": "llama_index",
"token_count": 2241
} | 1,372 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/unispeech.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/unispeech.md",
"repo_id": "transformers",
"token_count": 853
} | 472 |
from ... import PretrainedConfig
NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP = {
"sijunhe/nezha-cn-base": "https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json",
}
class NezhaConfig(PretrainedConfig):
r"""
This is the configuration class to store the configuration of an [`NezhaModel`]. It is us... | transformers/src/transformers/models/nezha/configuration_nezha.py/0 | {
"file_path": "transformers/src/transformers/models/nezha/configuration_nezha.py",
"repo_id": "transformers",
"token_count": 1967
} | 699 |
# coding=utf-8
# Copyright 2020-present the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | transformers/src/transformers/trainer.py/0 | {
"file_path": "transformers/src/transformers/trainer.py",
"repo_id": "transformers",
"token_count": 91890
} | 733 |
# Copyright 2024 Katherine Crowson and The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | diffusers/src/diffusers/schedulers/scheduling_lms_discrete_flax.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_lms_discrete_flax.py",
"repo_id": "diffusers",
"token_count": 4681
} | 266 |
from chromadb.db.impl.sqlite_pool import Connection, LockPool, PerThreadPool, Pool
from chromadb.db.migrations import MigratableDB, Migration
from chromadb.config import System, Settings
import chromadb.db.base as base
from chromadb.db.mixins.embeddings_queue import SqlEmbeddingsQueue
from chromadb.db.mixins.sysdb impo... | chroma/chromadb/db/impl/sqlite.py/0 | {
"file_path": "chroma/chromadb/db/impl/sqlite.py",
"repo_id": "chroma",
"token_count": 4008
} | 18 |
# (Gluon) Inception v3
**Inception v3** is a convolutional neural network architecture from the Inception family that makes several improvements including using [Label Smoothing](https://paperswithcode.com/method/label-smoothing), Factorized 7 x 7 convolutions, and the use of an [auxiliary classifer](https://paperswit... | pytorch-image-models/docs/models/.templates/models/gloun-inception-v3.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/gloun-inception-v3.md",
"repo_id": "pytorch-image-models",
"token_count": 1073
} | 336 |
import { BaseCumulativeTransformOutputParser } from "./transform.js";
import { Operation, compare } from "../utils/json_patch.js";
import { ChatGeneration, Generation } from "../outputs.js";
/**
* Class for parsing the output of an LLM into a JSON object.
*/
export class JsonOutputParser<
// eslint-disable-next-li... | langchainjs/langchain-core/src/output_parsers/json.ts/0 | {
"file_path": "langchainjs/langchain-core/src/output_parsers/json.ts",
"repo_id": "langchainjs",
"token_count": 1340
} | 927 |
# LlamaIndex Llms Integration: Mistral
| llama_index/llama-index-integrations/llms/llama-index-llms-mistralai/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-mistralai/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,229 |
# coding=utf-8
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | transformers/tests/models/mluke/test_tokenization_mluke.py/0 | {
"file_path": "transformers/tests/models/mluke/test_tokenization_mluke.py",
"repo_id": "transformers",
"token_count": 14687
} | 826 |
package indexnode
import (
"fmt"
"net/url"
"os"
"sync"
clientv3 "go.etcd.io/etcd/client/v3"
"go.etcd.io/etcd/server/v3/embed"
"go.etcd.io/etcd/server/v3/etcdserver/api/v3client"
)
const (
etcdListenPort = 2389
etcdPeerPort = 2390
)
var (
startSvr sync.Once
stopSvr sync.Once
etcdSvr *embed.Etcd
)
fu... | milvus/internal/indexnode/etcd_mock.go/0 | {
"file_path": "milvus/internal/indexnode/etcd_mock.go",
"repo_id": "milvus",
"token_count": 547
} | 1,990 |
from langchain import hub
from langchain_community.chat_models import ChatAnthropic
from langchain_core.output_parsers import StrOutputParser
# Create chain
prompt = hub.pull("hwchase17/anthropic-paper-qa")
model = ChatAnthropic(model="claude-2", max_tokens=10000)
chain = prompt | model | StrOutputParser()
| langchain/templates/summarize-anthropic/summarize_anthropic/chain.py/0 | {
"file_path": "langchain/templates/summarize-anthropic/summarize_anthropic/chain.py",
"repo_id": "langchain",
"token_count": 97
} | 706 |
variable "chroma_image_reg_url" {
description = "The URL of the chroma-core image registry (e.g. docker.io/chromadb/chroma). The URL must also include the image itself without the tag."
type = string
default = "docker.io/chromadb/chroma"
}
variable "chroma_release" {
description = "The chroma releas... | chroma/examples/deployments/render-terraform/variables.tf/0 | {
"file_path": "chroma/examples/deployments/render-terraform/variables.tf",
"repo_id": "chroma",
"token_count": 622
} | 42 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-openalex/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-openalex/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,358 |
<!--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/big_models.md/0 | {
"file_path": "transformers/docs/source/zh/big_models.md",
"repo_id": "transformers",
"token_count": 3096
} | 513 |
# How to contribute to Datasets?
[](CODE_OF_CONDUCT.md)
Datasets is an open source project, so all contributions and suggestions are welcome.
You can contribute in many different ways: giving ideas, answering questions, reporti... | datasets/CONTRIBUTING.md/0 | {
"file_path": "datasets/CONTRIBUTING.md",
"repo_id": "datasets",
"token_count": 1715
} | 106 |
"""Test Alibaba Tongyi Chat Model."""
from langchain_core.callbacks import CallbackManager
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_core.outputs import ChatGeneration, LLMResult
from langchain_community.chat_models.zhipuai import ChatZhipuAI
from tests.unit_tests.callbac... | langchain/libs/community/tests/integration_tests/chat_models/test_zhipuai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/chat_models/test_zhipuai.py",
"repo_id": "langchain",
"token_count": 857
} | 338 |
from typing import Optional
import langsmith
_CLIENT = langsmith.Client()
def create_dataset(
dataset_name: str, descriptions: list, labels: Optional[list] = None
):
ds = _CLIENT.create_dataset(dataset_name=dataset_name)
labels_ = labels or [None] * len(descriptions)
for desc, label in zip(descriptio... | langsmith-cookbook/testing-examples/pytest/_prepare_data.py/0 | {
"file_path": "langsmith-cookbook/testing-examples/pytest/_prepare_data.py",
"repo_id": "langsmith-cookbook",
"token_count": 762
} | 1,062 |
"""Print information about the system and langchain packages for debugging purposes."""
from typing import Sequence
def print_sys_info(*, additional_pkgs: Sequence[str] = tuple()) -> None:
"""Print information about the environment for debugging purposes."""
import pkgutil
import platform
import sys
... | langchain/libs/core/langchain_core/sys_info.py/0 | {
"file_path": "langchain/libs/core/langchain_core/sys_info.py",
"repo_id": "langchain",
"token_count": 1105
} | 397 |
from datetime import datetime
from typing import List, Sequence
import orjson
from langchain.schema.messages import AnyMessage
from langgraph.channels.base import ChannelsManager
from langgraph.checkpoint.base import empty_checkpoint
from langgraph.pregel import _prepare_next_tasks
from app.agent import AgentType, ge... | opengpts/backend/app/storage.py/0 | {
"file_path": "opengpts/backend/app/storage.py",
"repo_id": "opengpts",
"token_count": 2832
} | 2,019 |
import wandb
import numpy as np
import torch, torchvision
import torch.nn.functional as F
from PIL import Image
from tqdm.auto import tqdm
from fastcore.script import call_parse
from torchvision import transforms
from diffusers import DDPMPipeline
from diffusers import DDIMScheduler
from datasets import load_dataset
fr... | diffusion-models-class/unit2/finetune_model.py/0 | {
"file_path": "diffusion-models-class/unit2/finetune_model.py",
"repo_id": "diffusion-models-class",
"token_count": 2010
} | 304 |
import { OpenAI } from "@langchain/openai";
export const run = async () => {
const model = new OpenAI({
modelName: "gpt-4",
temperature: 0.7,
maxTokens: 1000,
maxRetries: 5,
});
const res = await model.call(
"Question: What would be a good company name a company that makes colorful socks?\nAn... | langchainjs/examples/src/llms/openai.ts/0 | {
"file_path": "langchainjs/examples/src/llms/openai.ts",
"repo_id": "langchainjs",
"token_count": 126
} | 813 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
from PIL import Image
from ...utils import OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
try:
if not (is_transformers_available() and is_torch_available()):
raise Opti... | diffusers/src/diffusers/pipelines/blip_diffusion/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/blip_diffusion/__init__.py",
"repo_id": "diffusers",
"token_count": 219
} | 218 |
"""An agent designed to hold a conversation in addition to using tools."""
from __future__ import annotations
from typing import Any, List, Optional, Sequence
from langchain_core._api import deprecated
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageMode... | langchain/libs/langchain/langchain/agents/conversational/base.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/conversational/base.py",
"repo_id": "langchain",
"token_count": 2020
} | 440 |
import argparse
import copy
import itertools
import logging
import math
import os
import random
from pathlib import Path
import numpy as np
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
from accelerate import Accelerator
from accelerate.logging import get_logger
from accelerate.utils impor... | diffusers/examples/research_projects/multi_subject_dreambooth_inpainting/train_multi_subject_dreambooth_inpainting.py/0 | {
"file_path": "diffusers/examples/research_projects/multi_subject_dreambooth_inpainting/train_multi_subject_dreambooth_inpainting.py",
"repo_id": "diffusers",
"token_count": 10829
} | 221 |
{
"github": {
"release": true,
"autoGenerate": true,
"tokenRef": "GITHUB_TOKEN_RELEASE"
},
"npm": {
"versionArgs": [
"--workspaces-update=false"
]
}
}
| langchainjs/libs/langchain-google-genai/.release-it.json/0 | {
"file_path": "langchainjs/libs/langchain-google-genai/.release-it.json",
"repo_id": "langchainjs",
"token_count": 91
} | 1,099 |
<jupyter_start><jupyter_text>Construire votre première démo Installez les bibliothèques 🤗 Transformers et 🤗 Gradio pour exécuter ce *notebook*.<jupyter_code>!pip install datasets transformers[sentencepiece]
!pip install gradio
import gradio as gr
def greet(name):
return "Bonjour " + name
demo = gr.Interface(fn=... | notebooks/course/fr/chapter9/section2.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter9/section2.ipynb",
"repo_id": "notebooks",
"token_count": 326
} | 312 |
<jupyter_start><jupyter_text>Hugging Face Transformers BERT fine-tuning using Amazon SageMaker and Training Compiler Compile and fine-tune a Multi-Class Classification Transformers with `Trainer` and `emotion` dataset using Amazon SageMaker Training Compiler Introduction SageMaker Training Compiler Overview[SageMaker ... | notebooks/sagemaker/15_training_compiler/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/15_training_compiler/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 3361
} | 287 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.earnings_call_transcript import EarningsCallTranscript
def test_class():
names_of_base_classes = [b.__name__ for b in EarningsCallTranscript.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-earnings-call-transcript/tests/test_readers_earnings_call_transcript.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-earnings-call-transcript/tests/test_readers_earnings_call_transcript.py",
"repo_id": "llama_index",
"token_count": 97
} | 1,287 |
/* eslint-disable @typescript-eslint/no-explicit-any */
import { jest, test, expect } from "@jest/globals";
import { FakeEmbeddings } from "@langchain/core/utils/testing";
import { QdrantVectorStore } from "../qdrant.js";
test("QdrantVectorStore works", async () => {
const client = {
upsert: jest.fn(),
sear... | langchainjs/libs/langchain-community/src/vectorstores/tests/qdrant.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/tests/qdrant.test.ts",
"repo_id": "langchainjs",
"token_count": 2163
} | 1,010 |
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/fnet/convert_fnet_original_flax_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/fnet/convert_fnet_original_flax_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 2770
} | 673 |
from __future__ import annotations
from concurrent.futures import Executor, ThreadPoolExecutor
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Iterator, List, Optional, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForLLMRun,... | langchain/libs/community/langchain_community/llms/vertexai.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/vertexai.py",
"repo_id": "langchain",
"token_count": 8603
} | 287 |
from langchain.load import __all__
EXPECTED_ALL = [
"dumpd",
"dumps",
"load",
"loads",
]
def test_all_imports() -> None:
assert set(__all__) == set(EXPECTED_ALL)
| langchain/libs/langchain/tests/unit_tests/load/test_imports.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/load/test_imports.py",
"repo_id": "langchain",
"token_count": 84
} | 626 |
<jupyter_start><jupyter_text>Huggingface Sagemaker-sdk - training with custom metrics Binary Classification with `Trainer` and `imdb` dataset In this demo, we extend the basic classification demo by adding **metrics definition** to capture and visualize training metrics.The documentation of the SageMaker metrics captur... | notebooks/sagemaker/06_sagemaker_metrics/sagemaker-notebook.ipynb/0 | {
"file_path": "notebooks/sagemaker/06_sagemaker_metrics/sagemaker-notebook.ipynb",
"repo_id": "notebooks",
"token_count": 3000
} | 329 |
// 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/querynodev2/delegator/deletebuffer/delete_buffer_test.go/0 | {
"file_path": "milvus/internal/querynodev2/delegator/deletebuffer/delete_buffer_test.go",
"repo_id": "milvus",
"token_count": 702
} | 2,041 |
version: '3.5'
services:
etcd:
container_name: milvus-etcd
image: quay.io/coreos/etcd:v3.5.5
environment:
- ETCD_AUTO_COMPACTION_MODE=revision
- ETCD_AUTO_COMPACTION_RETENTION=1000
- ETCD_QUOTA_BACKEND_BYTES=4294967296
- ETCD_SNAPSHOT_COUNT=50000
volumes:
- ${DOCKER_VOLU... | milvus/deployments/docker/standalone/docker-compose.yml/0 | {
"file_path": "milvus/deployments/docker/standalone/docker-compose.yml",
"repo_id": "milvus",
"token_count": 858
} | 1,730 |
include llama_index/py.typed
include llama_index/VERSION
include LICENSE
| llama_index/llama-index-legacy/MANIFEST.in/0 | {
"file_path": "llama_index/llama-index-legacy/MANIFEST.in",
"repo_id": "llama_index",
"token_count": 23
} | 1,546 |
import { loadPrompt } from "langchain/prompts/load";
export const run = async () => {
const prompt = await loadPrompt("lc://prompts/hello-world/prompt.yaml");
const res = await prompt.format({});
console.log({ res });
};
| langchainjs/examples/src/prompts/load_from_hub.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/load_from_hub.ts",
"repo_id": "langchainjs",
"token_count": 75
} | 908 |
export function clickOutside(element: HTMLDialogElement, callbackFunction: () => void) {
function onClick(event: MouseEvent) {
if (!element.contains(event.target as Node)) {
callbackFunction();
}
}
document.body.addEventListener("click", onClick);
return {
update(newCallbackFunction: () => void) {
cal... | chat-ui/src/lib/actions/clickOutside.ts/0 | {
"file_path": "chat-ui/src/lib/actions/clickOutside.ts",
"repo_id": "chat-ui",
"token_count": 143
} | 99 |
# TResNet
A **TResNet** is a variant on a [ResNet](https://paperswithcode.com/method/resnet) that aim to boost accuracy while maintaining GPU training and inference efficiency. They contain several design tricks including a SpaceToDepth stem, [Anti-Alias downsampling](https://paperswithcode.com/method/anti-alias-down... | pytorch-image-models/docs/models/.templates/models/tresnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/.templates/models/tresnet.md",
"repo_id": "pytorch-image-models",
"token_count": 3391
} | 349 |
"""
Arize-Phoenix LlamaPack.
"""
from typing import TYPE_CHECKING, Any, Dict, List
from llama_index.core import set_global_handler
from llama_index.core.indices.vector_store import VectorStoreIndex
from llama_index.core.llama_pack.base import BaseLlamaPack
from llama_index.core.schema import TextNode
if TYPE_CHECKIN... | llama_index/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/llama_index/packs/arize_phoenix_query_engine/base.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-arize-phoenix-query-engine/llama_index/packs/arize_phoenix_query_engine/base.py",
"repo_id": "llama_index",
"token_count": 953
} | 1,692 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.airbyte_shopify import AirbyteShopifyReader
def test_class():
names_of_base_classes = [b.__name__ for b in AirbyteShopifyReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-shopify/tests/test_readers_airbyte_shopify.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-airbyte-shopify/tests/test_readers_airbyte_shopify.py",
"repo_id": "llama_index",
"token_count": 95
} | 1,283 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-couchbase/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-couchbase/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,351 |
#include "cuda_utils.cuh"
#include<stdint.h>
template <typename S, typename T>
__device__ void cast_(
const size_t numel,
const size_t num_dims,
const size_t *info,
const S *inp,
T *out
) {
const size_t *dims = info;
const size_t *strides = info + num_dims;
if (is_contiguous(num_dims, d... | candle/candle-kernels/src/cast.cu/0 | {
"file_path": "candle/candle-kernels/src/cast.cu",
"repo_id": "candle",
"token_count": 2161
} | 52 |
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.tools.yahoo_finance import YahooFinanceToolSpec
def test_class():
names_of_base_classes = [b.__name__ for b in YahooFinanceToolSpec.__mro__]
assert BaseToolSpec.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/tools/llama-index-tools-yahoo-finance/tests/test_tools_yahoo_finance.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-yahoo-finance/tests/test_tools_yahoo_finance.py",
"repo_id": "llama_index",
"token_count": 98
} | 1,504 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::{DType, Device, Result, Tensor};
use candle_nn::{linear, AdamW, Linear, Module, Optimizer, ParamsAdamW, VarBuilder, VarMap};
fn gen_data() -> Result<(Tensor, Tensor)> {
// Generate some sam... | candle/candle-nn/examples/basic_optimizer.rs/0 | {
"file_path": "candle/candle-nn/examples/basic_optimizer.rs",
"repo_id": "candle",
"token_count": 595
} | 59 |
<jupyter_start><jupyter_code>! pip install langchain_community tiktoken langchain-openai langchainhub chromadb langchain langgraph tavily-python<jupyter_output><empty_output><jupyter_text>Corrective RAG (CRAG)Self-reflection can enhance RAG, enabling correction of poor quality retrieval or generations.Several recent pa... | langgraph/examples/rag/langgraph_crag.ipynb/0 | {
"file_path": "langgraph/examples/rag/langgraph_crag.ipynb",
"repo_id": "langgraph",
"token_count": 4606
} | 1,002 |
"""Google Lens API Toolkit."""
from langchain_community.tools.google_lens.tool import GoogleLensQueryRun
__all__ = ["GoogleLensQueryRun"]
| langchain/libs/langchain/langchain/tools/google_lens/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/google_lens/__init__.py",
"repo_id": "langchain",
"token_count": 42
} | 557 |
import { test, expect } from "@jest/globals";
import * as url from "node:url";
import * as path from "node:path";
import { EPubLoader } from "../fs/epub.js";
test("Test EPub loader from file", async () => {
const filePath = path.resolve(
path.dirname(url.fileURLToPath(import.meta.url)),
"./example_data/atten... | langchainjs/langchain/src/document_loaders/tests/epub.test.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/tests/epub.test.ts",
"repo_id": "langchainjs",
"token_count": 319
} | 904 |
# CHANGELOG
## [0.1.2] - 2024-02-13
- Add maintainers and keywords from library.json (llamahub)
| llama_index/llama-index-integrations/readers/llama-index-readers-azstorage-blob/CHANGELOG.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-azstorage-blob/CHANGELOG.md",
"repo_id": "llama_index",
"token_count": 40
} | 1,468 |
"""Test query transform."""
from llama_index.legacy.indices.query.query_transform.base import (
DecomposeQueryTransform,
)
from llama_index.legacy.service_context import ServiceContext
from tests.indices.query.query_transform.mock_utils import MOCK_DECOMPOSE_PROMPT
def test_decompose_query_transform(mock_servic... | llama_index/llama-index-legacy/tests/indices/query/query_transform/test_base.py/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/query/query_transform/test_base.py",
"repo_id": "llama_index",
"token_count": 286
} | 1,800 |
<!---
Copyright 2021 The Google Flax Team Authors and 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 r... | transformers/examples/flax/text-classification/README.md/0 | {
"file_path": "transformers/examples/flax/text-classification/README.md",
"repo_id": "transformers",
"token_count": 2757
} | 520 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-file/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,314 |
# stepback-qa-prompting
This template replicates the "Step-Back" prompting technique that improves performance on complex questions by first asking a "step back" question.
This technique can be combined with regular question-answering applications by doing retrieval on both the original and step-back question.
Read... | langchain/templates/stepback-qa-prompting/README.md/0 | {
"file_path": "langchain/templates/stepback-qa-prompting/README.md",
"repo_id": "langchain",
"token_count": 763
} | 687 |
#!/usr/bin/env python
# coding=utf-8
# 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-... | transformers/examples/flax/image-captioning/run_image_captioning_flax.py/0 | {
"file_path": "transformers/examples/flax/image-captioning/run_image_captioning_flax.py",
"repo_id": "transformers",
"token_count": 24465
} | 551 |
use std::sync::atomic::{AtomicBool, Ordering};
use std::sync::Arc;
use text_generation_client::GrammarType as ProtoGrammarType;
use text_generation_client::{
Batch, NextTokenChooserParameters, Request, ShardedClient, StoppingCriteriaParameters,
};
// Note: Request ids and batch ids cannot collide.
const LIVENESS_I... | text-generation-inference/router/src/health.rs/0 | {
"file_path": "text-generation-inference/router/src/health.rs",
"repo_id": "text-generation-inference",
"token_count": 1307
} | 393 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/readers/llama-index-readers-discord/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-discord/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,283 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/audioldm2/test_audioldm2.py/0 | {
"file_path": "diffusers/tests/pipelines/audioldm2/test_audioldm2.py",
"repo_id": "diffusers",
"token_count": 10088
} | 287 |
import { LanceDB } from "@langchain/community/vectorstores/lancedb";
import { OpenAIEmbeddings } from "@langchain/openai";
import { TextLoader } from "langchain/document_loaders/fs/text";
import fs from "node:fs/promises";
import path from "node:path";
import os from "node:os";
import { connect } from "vectordb";
// C... | langchainjs/examples/src/indexes/vector_stores/lancedb/fromDocs.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/lancedb/fromDocs.ts",
"repo_id": "langchainjs",
"token_count": 376
} | 828 |
from __future__ import annotations
from typing import TYPE_CHECKING, List, Optional
from langchain_core.language_models import BaseLanguageModel
from langchain_core.pydantic_v1 import Field
from langchain_community.agent_toolkits.base import BaseToolkit
from langchain_community.tools import BaseTool
from langchain_c... | langchain/libs/community/langchain_community/agent_toolkits/amadeus/toolkit.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/amadeus/toolkit.py",
"repo_id": "langchain",
"token_count": 374
} | 218 |
from datetime import datetime
from time import sleep
from langchain.output_parsers.datetime import DatetimeOutputParser
def test_datetime_output_parser_parse() -> None:
parser = DatetimeOutputParser()
# Test valid input
date = datetime.now()
datestr = date.strftime(parser.format)
result = parser... | langchain/libs/langchain/tests/unit_tests/output_parsers/test_datetime_parser.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/output_parsers/test_datetime_parser.py",
"repo_id": "langchain",
"token_count": 542
} | 600 |
# Discover LlamaIndex Video Series
If you like learning from videos, now's a good time to check out our "Discover LlamaIndex" series. If not, we recommend heading on to our [Understanding LlamaIndex](/understanding/understanding.md) tutorial.
## Bottoms-Up Development (Llama Docs Bot)
This is a sub-series within Dis... | llama_index/docs/getting_started/discover_llamaindex.md/0 | {
"file_path": "llama_index/docs/getting_started/discover_llamaindex.md",
"repo_id": "llama_index",
"token_count": 666
} | 1,140 |
use crate::models::unigram::{lattice::Lattice, model::Unigram};
use crate::tokenizer::{AddedToken, Result, Trainer};
use crate::utils::parallelism::*;
use crate::utils::progress::{ProgressBar, ProgressStyle};
use log::debug;
use serde::{Deserialize, Serialize};
use std::cmp::Reverse;
use std::collections::{HashMap, Has... | tokenizers/tokenizers/src/models/unigram/trainer.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/unigram/trainer.rs",
"repo_id": "tokenizers",
"token_count": 15681
} | 458 |
from langchain_ai21 import __all__
EXPECTED_ALL = [
"AI21LLM",
"ChatAI21",
"AI21Embeddings",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
| langchain/libs/partners/ai21/tests/unit_tests/test_imports.py/0 | {
"file_path": "langchain/libs/partners/ai21/tests/unit_tests/test_imports.py",
"repo_id": "langchain",
"token_count": 85
} | 622 |
# 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... | trl/scripts/log_reports.py/0 | {
"file_path": "trl/scripts/log_reports.py",
"repo_id": "trl",
"token_count": 2727
} | 784 |
<jupyter_start><jupyter_text>Weaviate Vector Store Metadata Filter If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-vector-stores-weaviate
!pip install llama-index weaviate-client<jupyter_output><empty_output><jupyter_text>Creating a Weavia... | llama_index/docs/examples/vector_stores/WeaviateIndex_metadata_filter.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/WeaviateIndex_metadata_filter.ipynb",
"repo_id": "llama_index",
"token_count": 1754
} | 1,139 |
---
sidebar_class_name: node-only
---
import CodeBlock from "@theme/CodeBlock";
# LanceDB
LanceDB is an embedded vector database for AI applications. It is open source and distributed with an Apache-2.0 license.
LanceDB datasets are persisted to disk and can be shared between Node.js and Python.
## Setup
Install ... | langchainjs/docs/core_docs/docs/integrations/vectorstores/lancedb.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/lancedb.mdx",
"repo_id": "langchainjs",
"token_count": 390
} | 720 |
from rag_aws_bedrock.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-aws-bedrock/rag_aws_bedrock/__init__.py/0 | {
"file_path": "langchain/templates/rag-aws-bedrock/rag_aws_bedrock/__init__.py",
"repo_id": "langchain",
"token_count": 21
} | 674 |
<!---
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or a... | transformers/examples/tensorflow/README.md/0 | {
"file_path": "transformers/examples/tensorflow/README.md",
"repo_id": "transformers",
"token_count": 731
} | 581 |
python_sources()
python_tests(
name="tests",
)
| llama_index/llama-index-core/tests/storage/docstore/BUILD/0 | {
"file_path": "llama_index/llama-index-core/tests/storage/docstore/BUILD",
"repo_id": "llama_index",
"token_count": 22
} | 1,244 |
interactions:
- request:
body: '{"input": [[831, 677, 31172, 220, 19, 370, 10718, 830, 1484, 762, 3443,
22, 6043, 2437, 68, 22874, 346, 22, 65, 21, 68, 1927, 712, 2689], [2059, 7341,
527, 264, 1912, 315, 658, 10753, 677, 81, 3581, 7795, 32971, 555, 264, 7558,
321, 351, 61798, 30535, 11, 4330, 311,... | langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_pinecone/TestPinecone.test_from_texts.yaml/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/cassettes/test_pinecone/TestPinecone.test_from_texts.yaml",
"repo_id": "langchain",
"token_count": 24715
} | 372 |
# 🦜🍎️ @langchain/core
[](https://github.com/langchain-ai/langchainjs/actions/workflows/ci.yml)  [](https://open... | langchainjs/langchain-core/README.md/0 | {
"file_path": "langchainjs/langchain-core/README.md",
"repo_id": "langchainjs",
"token_count": 1699
} | 856 |
from abc import abstractmethod
from typing import Any, List, Tuple
from llama_index.core.base.base_retriever import BaseRetriever
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.schema import NodeWithScore, QueryBundle
class BaseAutoRetriever(BaseRetriever):
"""Base auto retriever.""... | llama_index/llama-index-core/llama_index/core/base/base_auto_retriever.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/base/base_auto_retriever.py",
"repo_id": "llama_index",
"token_count": 616
} | 1,177 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | peft/docs/source/developer_guides/model_merging.md/0 | {
"file_path": "peft/docs/source/developer_guides/model_merging.md",
"repo_id": "peft",
"token_count": 2263
} | 313 |
"""Test dashscope embeddings."""
import numpy as np
from langchain_community.embeddings.dashscope import DashScopeEmbeddings
def test_dashscope_embedding_documents() -> None:
"""Test dashscope embeddings."""
documents = ["foo bar"]
embedding = DashScopeEmbeddings(model="text-embedding-v1")
output = e... | langchain/libs/community/tests/integration_tests/embeddings/test_dashscope.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_dashscope.py",
"repo_id": "langchain",
"token_count": 991
} | 349 |
[
{
"avatar_url": "https://avatars.githubusercontent.com/u/219938?v=4",
"html_url": "https://github.com/sworddish",
"login": "sworddish"
}
]
| milvus/.contributors/0 | {
"file_path": "milvus/.contributors",
"repo_id": "milvus",
"token_count": 73
} | 1,605 |
from typing import Any, Optional, Sequence
from llama_index.legacy.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.legacy.prompts.mixin import PromptDictType, PromptMixinType
class AnswerConsistencyEvaluator(BaseEvaluator):
"""Tonic Validate's answer consistency metric.
The output sc... | llama_index/llama-index-legacy/llama_index/legacy/evaluation/tonic_validate/answer_consistency.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/evaluation/tonic_validate/answer_consistency.py",
"repo_id": "llama_index",
"token_count": 955
} | 1,591 |
#include <cmath>
#include <cute/tensor.hpp>
#include <cutlass/cutlass.h>
#include <cutlass/array.h>
#include "utils.h"
namespace flash {
using namespace cute;
////////////////////////////////////////////////////////////////////////////////////////////////////
template <bool Is_causal, typename Engine, typename L... | candle/candle-flash-attn/kernels/alibi.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/alibi.h",
"repo_id": "candle",
"token_count": 1367
} | 60 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-hubspot/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-hubspot/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,458 |
#!/usr/bin/env bash
# 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... | milvus/scripts/run_go_unittest.sh/0 | {
"file_path": "milvus/scripts/run_go_unittest.sh",
"repo_id": "milvus",
"token_count": 2701
} | 1,921 |
---
sidebar_position: 1
---
# Text Splitters
Once you've loaded documents, you'll often want to transform them to better suit your application. The simplest example
is you may want to split a long document into smaller chunks that can fit into your model's context window. LangChain
has a number of built-in document tr... | langchain/docs/docs/modules/data_connection/document_transformers/index.mdx/0 | {
"file_path": "langchain/docs/docs/modules/data_connection/document_transformers/index.mdx",
"repo_id": "langchain",
"token_count": 1769
} | 191 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-chatgpt-plugin/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,418 |
[
{
"suite_params": [
{
"suite": "2_locust_insert_5h.yaml",
"image_type": "cpu"
}
]
}
]
| milvus/tests/benchmark/milvus_benchmark/scheduler/loop.json/0 | {
"file_path": "milvus/tests/benchmark/milvus_benchmark/scheduler/loop.json",
"repo_id": "milvus",
"token_count": 122
} | 2,140 |
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-gemini/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,381 |
# 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/glue.py/0 | {
"file_path": "transformers/src/transformers/data/datasets/glue.py",
"repo_id": "transformers",
"token_count": 2587
} | 631 |
<jupyter_start><jupyter_text>Unit 3: Deep Q-Learning with Atari Games 👾 using RL Baselines3 ZooIn this notebook, **you'll train a Deep Q-Learning agent** playing Space Invaders using [RL Baselines3 Zoo](https://github.com/DLR-RM/rl-baselines3-zoo), a training framework based on [Stable-Baselines3](https://stable-basel... | deep-rl-class/notebooks/unit3/unit3.ipynb/0 | {
"file_path": "deep-rl-class/notebooks/unit3/unit3.ipynb",
"repo_id": "deep-rl-class",
"token_count": 3982
} | 160 |
from langchain_community.retrievers.zilliz import ZillizRetreiver, ZillizRetriever
__all__ = ["ZillizRetriever", "ZillizRetreiver"]
| langchain/libs/langchain/langchain/retrievers/zilliz.py/0 | {
"file_path": "langchain/libs/langchain/langchain/retrievers/zilliz.py",
"repo_id": "langchain",
"token_count": 50
} | 538 |
<jupyter_start><jupyter_text>Wikibase AgentThis notebook demonstrates a very simple wikibase agent that uses sparql generation. Although this code is intended to work against anywikibase instance, we use http://wikidata.org for testing.If you are interested in wikibases and sparql, please consider helping to improve th... | langchain/cookbook/wikibase_agent.ipynb/0 | {
"file_path": "langchain/cookbook/wikibase_agent.ipynb",
"repo_id": "langchain",
"token_count": 4313
} | 83 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | peft/docs/source/package_reference/p_tuning.md/0 | {
"file_path": "peft/docs/source/package_reference/p_tuning.md",
"repo_id": "peft",
"token_count": 540
} | 295 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | diffusers/tests/pipelines/test_pipelines_combined.py/0 | {
"file_path": "diffusers/tests/pipelines/test_pipelines_combined.py",
"repo_id": "diffusers",
"token_count": 2384
} | 277 |
<jupyter_start><jupyter_text>Semantic Chunker"Semantic chunking" is a new concept proposed Greg Kamradt in his video tutorial on 5 levels of embedding chunking: https://youtu.be/8OJC21T2SL4?t=1933.Instead of chunking text with a **fixed** chunk size, the semantic splitter adaptively picks the breakpoint in-between sent... | llama_index/docs/examples/node_parsers/semantic_chunking.ipynb/0 | {
"file_path": "llama_index/docs/examples/node_parsers/semantic_chunking.ipynb",
"repo_id": "llama_index",
"token_count": 2122
} | 1,096 |
<jupyter_start><jupyter_text>Eden AI Eden AI is revolutionizing the AI landscape by uniting the best AI providers, empowering users to unlock limitless possibilities and tap into the true potential of artificial intelligence. With an all-in-one comprehensive and hassle-free platform, it allows users to deploy AI featur... | langchain/docs/docs/integrations/chat/edenai.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/chat/edenai.ipynb",
"repo_id": "langchain",
"token_count": 918
} | 99 |
# 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/wav2vec2/configuration_wav2vec2.py/0 | {
"file_path": "transformers/src/transformers/models/wav2vec2/configuration_wav2vec2.py",
"repo_id": "transformers",
"token_count": 7967
} | 766 |
from typing import Optional
import torch
from torch import nn
from torch import nn, Tensor
from torch.nn.modules.transformer import _get_activation_fn
def add_ml_decoder_head(model):
if hasattr(model, 'global_pool') and hasattr(model, 'fc'): # most CNN models, like Resnet50
model.global_pool = nn.Identi... | pytorch-image-models/timm/layers/ml_decoder.py/0 | {
"file_path": "pytorch-image-models/timm/layers/ml_decoder.py",
"repo_id": "pytorch-image-models",
"token_count": 3177
} | 346 |
from langchain_community.graphs.memgraph_graph import (
MemgraphGraph,
)
__all__ = ["MemgraphGraph"]
| langchain/libs/langchain/langchain/graphs/memgraph_graph.py/0 | {
"file_path": "langchain/libs/langchain/langchain/graphs/memgraph_graph.py",
"repo_id": "langchain",
"token_count": 37
} | 509 |
<!--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/madlad-400.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/madlad-400.md",
"repo_id": "transformers",
"token_count": 930
} | 510 |
- sections:
- local: index
title: Text Generation Inference
- local: quicktour
title: Quick Tour
- local: installation
title: Installation
- local: supported_models
title: Supported Models and Hardware
- local: messages_api
title: Messages API
title: Getting started
- sections:
- local... | text-generation-inference/docs/source/_toctree.yml/0 | {
"file_path": "text-generation-inference/docs/source/_toctree.yml",
"repo_id": "text-generation-inference",
"token_count": 384
} | 360 |
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