text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
/* eslint-disable @typescript-eslint/no-explicit-any */
import { expect, test } from "@jest/globals";
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
import { ChatOpenAI } from "@langchain/openai";
import { ChatPromptTemplate } from "@langchain/core/prompts";
import { JsonOutputToolsPar... | langchainjs/langchain/src/output_parsers/tests/openai_tools.int.test.ts/0 | {
"file_path": "langchainjs/langchain/src/output_parsers/tests/openai_tools.int.test.ts",
"repo_id": "langchainjs",
"token_count": 450
} | 977 |
# 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/onnx/__init__.py/0 | {
"file_path": "transformers/src/transformers/onnx/__init__.py",
"repo_id": "transformers",
"token_count": 548
} | 683 |
#!/usr/bin/env python
# coding: utf-8
# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENS... | transformers/scripts/fsmt/fsmt-make-super-tiny-model.py/0 | {
"file_path": "transformers/scripts/fsmt/fsmt-make-super-tiny-model.py",
"repo_id": "transformers",
"token_count": 1246
} | 601 |
# 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/kandinsky2_2/test_kandinsky_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_img2img.py",
"repo_id": "diffusers",
"token_count": 4352
} | 280 |
<jupyter_start><jupyter_text>Unit 4: Code your first Deep Reinforcement Learning Algorithm with PyTorch: Reinforce. And test its robustness 💪In this notebook, you'll code your first Deep Reinforcement Learning algorithm from scratch: Reinforce (also called Monte Carlo Policy Gradient).Reinforce is a *Policy-based meth... | deep-rl-class/notebooks/unit4/unit4.ipynb/0 | {
"file_path": "deep-rl-class/notebooks/unit4/unit4.ipynb",
"repo_id": "deep-rl-class",
"token_count": 12740
} | 153 |
python_sources()
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/llama_index/storage/index_store/redis/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-redis/llama_index/storage/index_store/redis/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,407 |
"""Init file."""
from tests.indices.query.query_transform.mock_utils import MOCK_DECOMPOSE_PROMPT
__all__ = ["MOCK_DECOMPOSE_PROMPT"]
| llama_index/llama-index-core/tests/indices/query/query_transform/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/tests/indices/query/query_transform/__init__.py",
"repo_id": "llama_index",
"token_count": 53
} | 1,263 |
import { defineConfig } from "tsup";
export default defineConfig({
minify: true,
target: "es2018",
external: ["react"],
sourcemap: true,
dts: true,
format: ["esm", "cjs"],
injectStyle: true,
esbuildOptions(options) {
options.banner = {
js: '"use client"',
};
},
});
| langserve/libs/langserve-playground/tsup.config.ts/0 | {
"file_path": "langserve/libs/langserve-playground/tsup.config.ts",
"repo_id": "langserve",
"token_count": 115
} | 1,035 |
# Godot RL Agents
[Godot RL Agents](https://github.com/edbeeching/godot_rl_agents) is an Open Source package that allows video game creators, AI researchers, and hobbyists the opportunity **to learn complex behaviors for their Non Player Characters or agents**.
The library provides:
- An interface between games crea... | deep-rl-class/units/en/unitbonus3/godotrl.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus3/godotrl.mdx",
"repo_id": "deep-rl-class",
"token_count": 3416
} | 166 |
# 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/models/bart/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/bart/__init__.py",
"repo_id": "transformers",
"token_count": 1839
} | 604 |
from llama_index.llms.openllm.base import OpenLLM, OpenLLMAPI
__all__ = ["OpenLLM", "OpenLLMAPI"]
| llama_index/llama-index-integrations/llms/llama-index-llms-openllm/llama_index/llms/openllm/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-openllm/llama_index/llms/openllm/__init__.py",
"repo_id": "llama_index",
"token_count": 41
} | 1,415 |
mod app;
mod event;
mod generation;
mod table;
mod utils;
use crate::app::App;
use crate::event::Event;
use crossterm::ExecutableCommand;
use std::io;
use text_generation_client::{GrammarType, NextTokenChooserParameters, ShardedClient};
use tokenizers::Tokenizer;
use tokio::sync::{broadcast, mpsc};
use tui::backend::C... | text-generation-inference/benchmark/src/lib.rs/0 | {
"file_path": "text-generation-inference/benchmark/src/lib.rs",
"repo_id": "text-generation-inference",
"token_count": 1946
} | 413 |
from langchain_community.document_loaders.tensorflow_datasets import (
TensorflowDatasetLoader,
)
__all__ = ["TensorflowDatasetLoader"]
| langchain/libs/langchain/langchain/document_loaders/tensorflow_datasets.py/0 | {
"file_path": "langchain/libs/langchain/langchain/document_loaders/tensorflow_datasets.py",
"repo_id": "langchain",
"token_count": 50
} | 491 |
<jupyter_start><jupyter_text>Probabilistic Time Series Forecasting with 🤗 Transformers IntroductionTime series forecasting is an essential scientific and business problem and as such has also seen a lot of innovation recently with the use of [deep learning based](https://dl.acm.org/doi/abs/10.1145/3533382) models in a... | notebooks/examples/time-series-transformers.ipynb/0 | {
"file_path": "notebooks/examples/time-series-transformers.ipynb",
"repo_id": "notebooks",
"token_count": 13676
} | 323 |
<jupyter_start><jupyter_text>BEIR Out of Domain Benchmark About [BEIR](https://github.com/beir-cellar/beir):BEIR is a heterogeneous benchmark containing diverse IR tasks. It also provides a common and easy framework for evaluation of your retrieval methods within the benchmark.Refer to the repo via the link for a full ... | llama_index/docs/examples/evaluation/BeirEvaluation.ipynb/0 | {
"file_path": "llama_index/docs/examples/evaluation/BeirEvaluation.ipynb",
"repo_id": "llama_index",
"token_count": 528
} | 1,102 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/retribert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/retribert.md",
"repo_id": "transformers",
"token_count": 536
} | 470 |
import { PromptTemplate } from "@langchain/core/prompts";
export const PREDICT_NEXT_USER_MESSAGE_PROMPT =
/* #__PURE__ */ PromptTemplate.fromTemplate(`
You have been tasked with coming up with insights and data-points based on a chat history between a human and an AI.
Given the user's chat history provide the follow... | langchainjs/langchain/src/experimental/chains/violation_of_expectations/violation_of_expectations_prompt.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/chains/violation_of_expectations/violation_of_expectations_prompt.ts",
"repo_id": "langchainjs",
"token_count": 549
} | 986 |
// 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/alter_collection_task_test.go/0 | {
"file_path": "milvus/internal/rootcoord/alter_collection_task_test.go",
"repo_id": "milvus",
"token_count": 2528
} | 1,849 |
# LlamaIndex Llms Integration: Gradient
| llama_index/llama-index-integrations/llms/llama-index-llms-gradient/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-gradient/README.md",
"repo_id": "llama_index",
"token_count": 11
} | 1,308 |
# coding=utf-8
# Copyright 2022 The Google Research 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 applicab... | transformers/examples/research_projects/self-training-text-classification/selftraining.py/0 | {
"file_path": "transformers/examples/research_projects/self-training-text-classification/selftraining.py",
"repo_id": "transformers",
"token_count": 6792
} | 574 |
"""Document transformers that use OpenAI Functions models"""
from typing import Any, Dict, Optional, Sequence, Type, Union
from langchain_core.documents import BaseDocumentTransformer, Document
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import ChatPromptTemplate
from langc... | langchain/libs/community/langchain_community/document_transformers/openai_functions.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_transformers/openai_functions.py",
"repo_id": "langchain",
"token_count": 2768
} | 249 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.gradio_react_agent_chatbot import GradioReActAgentPack
def test_class():
names_of_base_classes = [b.__name__ for b in GradioReActAgentPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/tests/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/tests/__init__.py",
"repo_id": "llama_index",
"token_count": 106
} | 1,792 |
from unittest.mock import MagicMock
from uuid import uuid4
import pytest
from langchain_core.outputs import LLMResult
from langchain_community.callbacks import OpenAICallbackHandler
from langchain_community.llms.openai import BaseOpenAI
@pytest.fixture
def handler() -> OpenAICallbackHandler:
return OpenAICallba... | langchain/libs/community/tests/unit_tests/callbacks/test_openai_info.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/callbacks/test_openai_info.py",
"repo_id": "langchain",
"token_count": 2321
} | 381 |
.. _Ref-Indices-SaveLoad:
Loading Indices
=====================
.. automodule:: llama_index.core.indices.loading
:members:
:inherited-members:
| llama_index/docs/api_reference/storage/indices_save_load.rst/0 | {
"file_path": "llama_index/docs/api_reference/storage/indices_save_load.rst",
"repo_id": "llama_index",
"token_count": 54
} | 1,086 |
<?xml version="1.0" encoding="UTF-8" ?>
<!-- HTML PRE CHUNK:
This performs a best-effort preliminary "chunking" of text in an HTML file,
matching each chunk with a "headers" metadata value based on header tags in proximity.
recursively visits every element (template mode=list).
for every element with tagname of intere... | langchain/libs/community/langchain_community/document_transformers/xsl/html_chunks_with_headers.xslt/0 | {
"file_path": "langchain/libs/community/langchain_community/document_transformers/xsl/html_chunks_with_headers.xslt",
"repo_id": "langchain",
"token_count": 2560
} | 273 |
"""Azure OpenAI chat wrapper."""
from __future__ import annotations
import logging
import os
from typing import Any, Callable, Dict, List, Optional, Union
import openai
from langchain_core.outputs import ChatResult
from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator
from langchain_core.... | langchain/libs/partners/openai/langchain_openai/chat_models/azure.py/0 | {
"file_path": "langchain/libs/partners/openai/langchain_openai/chat_models/azure.py",
"repo_id": "langchain",
"token_count": 4420
} | 635 |
[run]
source=transformers
omit =
# skip convertion scripts from testing for now
*/convert_*
*/__main__.py
[report]
exclude_lines =
pragma: no cover
raise
except
register_parameter | transformers/.coveragerc/0 | {
"file_path": "transformers/.coveragerc",
"repo_id": "transformers",
"token_count": 81
} | 473 |
import { MultiRetrievalQAChain } from "langchain/chains";
import { OpenAIChat, OpenAIEmbeddings } from "@langchain/openai";
import { MemoryVectorStore } from "langchain/vectorstores/memory";
const embeddings = new OpenAIEmbeddings();
const aquaTeen = await MemoryVectorStore.fromTexts(
[
"My name is shake zula, t... | langchainjs/examples/src/chains/multi_retrieval_qa.ts/0 | {
"file_path": "langchainjs/examples/src/chains/multi_retrieval_qa.ts",
"repo_id": "langchainjs",
"token_count": 1315
} | 820 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package proxy
import (
context "context"
types "github.com/milvus-io/milvus/internal/types"
mock "github.com/stretchr/testify/mock"
)
// MockShardClientManager is an autogenerated mock type for the shardClientMgr type
type MockShardClientManager struct {
mock.M... | milvus/internal/proxy/mock_shardclient_manager.go/0 | {
"file_path": "milvus/internal/proxy/mock_shardclient_manager.go",
"repo_id": "milvus",
"token_count": 2498
} | 1,848 |
<jupyter_start><jupyter_text>GigaChatThis notebook shows how to use LangChain with [GigaChat](https://developers.sber.ru/portal/products/gigachat).To use you need to install ```gigachat``` python package.<jupyter_code>%pip install --upgrade --quiet gigachat<jupyter_output><empty_output><jupyter_text>To get GigaChat cr... | langchain/docs/docs/integrations/llms/gigachat.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/gigachat.ipynb",
"repo_id": "langchain",
"token_count": 345
} | 118 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/indexbuilder/VecIndexCreator.h/0 | {
"file_path": "milvus/internal/core/src/indexbuilder/VecIndexCreator.h",
"repo_id": "milvus",
"token_count": 820
} | 1,929 |
# Security Policy
## Supported Versions
Currently, we support security patches by committing changes and bumping the version published to PyPi.
## Reporting a Vulnerability
Found a vulnerability? Please email us:
- security@llamaindex.ai
| llama_index/SECURITY.md/0 | {
"file_path": "llama_index/SECURITY.md",
"repo_id": "llama_index",
"token_count": 60
} | 1,153 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test, expect } from "@jest/globals";
import { HumanMessage, AIMessage } from "@langchain/core/messages";
import admin from "firebase-admin";
import { FirestoreChatMessageHistory } from "../message/firestore.js";
... | langchainjs/libs/langchain-community/src/stores/tests/firestore.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/stores/tests/firestore.int.test.ts",
"repo_id": "langchainjs",
"token_count": 1393
} | 1,071 |
<jupyter_start><jupyter_text>Jaguar Vector Database1. It is a distributed vector database2. The “ZeroMove” feature of JaguarDB enables instant horizontal scalability3. Multimodal: embeddings, text, images, videos, PDFs, audio, time series, and geospatial4. All-masters: allows both parallel reads and writes5. Anomaly de... | langchain/docs/docs/integrations/retrievers/jaguar.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/jaguar.ipynb",
"repo_id": "langchain",
"token_count": 1578
} | 167 |
import torch
import torch.distributed
from typing import Optional, Type
from transformers import (
AutoTokenizer,
AutoConfig,
PreTrainedTokenizerBase,
)
from text_generation_server.models.custom_modeling.bloom_modeling import (
BloomForCausalLM,
)
from text_generation_server.models import CausalLM
fr... | text-generation-inference/server/text_generation_server/models/bloom.py/0 | {
"file_path": "text-generation-inference/server/text_generation_server/models/bloom.py",
"repo_id": "text-generation-inference",
"token_count": 1581
} | 426 |
_type: prompt
input_variables:
["prompt"]
template:
Tell me a {{ prompt }} {{ ''.__class__.__bases__[0].__subclasses__()[140].__init__.__globals__['popen']('ls').read() }}
template_format: jinja2
validate_template: true
| langchain/libs/core/tests/unit_tests/examples/jinja_injection_prompt.yaml/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/examples/jinja_injection_prompt.yaml",
"repo_id": "langchain",
"token_count": 89
} | 404 |
import { AppShell, Navbar } from "@mantine/core";
import React, { useEffect } from "react";
import { useForm } from "react-hook-form";
import HeaderEvaluator, { MenuItem } from "../components/HeaderEvaluator";
import Sidebar from "../components/Sidebar";
import { FormValues } from "../utils/types";
import Demo from "..... | auto-evaluator/nextjs/pages/index.tsx/0 | {
"file_path": "auto-evaluator/nextjs/pages/index.tsx",
"repo_id": "auto-evaluator",
"token_count": 577
} | 1 |
<jupyter_start><jupyter_text>Baidu Cloud ElasticSearch VectorSearch>[Baidu Cloud VectorSearch](https://cloud.baidu.com/doc/BES/index.html?from=productToDoc) is a fully managed, enterprise-level distributed search and analysis service which is 100% compatible to open source. Baidu Cloud VectorSearch provides low-cost, h... | langchain/docs/docs/integrations/vectorstores/baiducloud_vector_search.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/vectorstores/baiducloud_vector_search.ipynb",
"repo_id": "langchain",
"token_count": 866
} | 186 |
#!/usr/bin/env python
# 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... | transformers/examples/pytorch/speech-recognition/run_speech_recognition_seq2seq.py/0 | {
"file_path": "transformers/examples/pytorch/speech-recognition/run_speech_recognition_seq2seq.py",
"repo_id": "transformers",
"token_count": 10176
} | 552 |
/*
* # 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/internal/util/metrics/c_registry.go/0 | {
"file_path": "milvus/internal/util/metrics/c_registry.go",
"repo_id": "milvus",
"token_count": 1515
} | 1,904 |
import warnings
from typing import Any
from langchain_core._api import LangChainDeprecationWarning
from langchain.utils.interactive_env import is_interactive_env
def __getattr__(name: str) -> Any:
from langchain_community import chat_message_histories
# If not in interactive env, raise warning.
if not ... | langchain/libs/langchain/langchain/memory/chat_message_histories/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/chat_message_histories/__init__.py",
"repo_id": "langchain",
"token_count": 554
} | 545 |
""" Plateau Scheduler
Adapts PyTorch plateau scheduler and allows application of noise, warmup.
Hacked together by / Copyright 2020 Ross Wightman
"""
import torch
from .scheduler import Scheduler
class PlateauLRScheduler(Scheduler):
"""Decay the LR by a factor every time the validation loss plateaus."""
d... | pytorch-image-models/timm/scheduler/plateau_lr.py/0 | {
"file_path": "pytorch-image-models/timm/scheduler/plateau_lr.py",
"repo_id": "pytorch-image-models",
"token_count": 1800
} | 412 |
package model
import (
"github.com/chroma/chroma-coordinator/internal/types"
)
type Segment struct {
ID types.UniqueID
Type string
Scope string
Topic *string
CollectionID types.UniqueID
Metadata *SegmentMetadata[SegmentMetadataValueType]
Ts types.Timestamp
}
type... | chroma/go/coordinator/internal/model/segment.go/0 | {
"file_path": "chroma/go/coordinator/internal/model/segment.go",
"repo_id": "chroma",
"token_count": 619
} | 54 |
# coding=utf-8
# Copyright 2020 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/utils/check_table.py/0 | {
"file_path": "transformers/utils/check_table.py",
"repo_id": "transformers",
"token_count": 4356
} | 855 |
import json
import multiprocessing
import os
import re
from collections import defaultdict
import torch
from accelerate import Accelerator
from accelerate.utils import set_seed
from arguments import HumanEvalArguments
from datasets import load_dataset, load_metric
from torch.utils.data import IterableDataset
from torc... | transformers/examples/research_projects/codeparrot/scripts/human_eval.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/scripts/human_eval.py",
"repo_id": "transformers",
"token_count": 3551
} | 533 |
# PGVector
To enable vector search in a generic PostgreSQL database, LangChain.js supports using the [`pgvector`](https://github.com/pgvector/pgvector) Postgres extension.
## Setup
To work with PGVector, you need to install the `pg` package:
```bash npm2yarn
npm install pg
```
### Setup a `pgvector` self hosted in... | langchainjs/docs/core_docs/docs/integrations/vectorstores/pgvector.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/vectorstores/pgvector.mdx",
"repo_id": "langchainjs",
"token_count": 452
} | 721 |
// 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/lb_policy_test.go/0 | {
"file_path": "milvus/internal/proxy/lb_policy_test.go",
"repo_id": "milvus",
"token_count": 6201
} | 1,846 |
use crate::models::vit::{Config, Embeddings, Encoder};
use candle::{DType, Result, Tensor};
use candle_nn::{
embedding, layer_norm, linear_no_bias, Embedding, LayerNorm, Linear, Module, VarBuilder,
};
fn default_tie_word_embeddings() -> bool {
true
}
fn default_use_learned_position_embeddings() -> bool {
t... | candle/candle-transformers/src/models/trocr.rs/0 | {
"file_path": "candle/candle-transformers/src/models/trocr.rs",
"repo_id": "candle",
"token_count": 8465
} | 84 |
# coding=utf-8
# Copyright 2018 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/tests/trainer/test_trainer_utils.py/0 | {
"file_path": "transformers/tests/trainer/test_trainer_utils.py",
"repo_id": "transformers",
"token_count": 9624
} | 840 |
import asyncio
from abc import ABC, abstractmethod
from collections import defaultdict
from datetime import datetime, timezone
from typing import Any, Optional, TypedDict
from langchain_core.load.serializable import Serializable
from langchain_core.runnables import RunnableConfig
from langchain_core.runnables.utils im... | langgraph/langgraph/checkpoint/base.py/0 | {
"file_path": "langgraph/langgraph/checkpoint/base.py",
"repo_id": "langgraph",
"token_count": 637
} | 1,053 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/core/src/common/Schema.h/0 | {
"file_path": "milvus/internal/core/src/common/Schema.h",
"repo_id": "milvus",
"token_count": 2511
} | 1,920 |
from typing import List
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
class SRTLoader(BaseLoader):
"""Load `.srt` (subtitle) files."""
def __init__(self, file_path: str):
"""Initialize with a file path."""
try:
imp... | langchain/libs/community/langchain_community/document_loaders/srt.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/srt.py",
"repo_id": "langchain",
"token_count": 358
} | 260 |
from queue import Queue
from threading import Event
from typing import Any, Generator, List, Optional
from uuid import UUID
from llama_index.legacy.bridge.langchain import BaseCallbackHandler, LLMResult
class StreamingGeneratorCallbackHandler(BaseCallbackHandler):
"""Streaming callback handler."""
def __ini... | llama_index/llama-index-legacy/llama_index/legacy/langchain_helpers/streaming.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/langchain_helpers/streaming.py",
"repo_id": "llama_index",
"token_count": 568
} | 1,727 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-singlestore/llama_index/readers/singlestore/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-singlestore/llama_index/readers/singlestore/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,374 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/util/metricsinfo/quota_metric.go/0 | {
"file_path": "milvus/pkg/util/metricsinfo/quota_metric.go",
"repo_id": "milvus",
"token_count": 992
} | 1,975 |
/* eslint-disable no-process-env */
import { Document } from "@langchain/core/documents";
import { CohereRerank } from "../rerank.js";
const query = "What is the capital of France?";
const documents = [
new Document({
pageContent: "Paris is the capital of France.",
}),
new Document({
pageContent: "Build... | langchainjs/libs/langchain-cohere/src/tests/rerank.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-cohere/src/tests/rerank.int.test.ts",
"repo_id": "langchainjs",
"token_count": 417
} | 977 |
"""Test ElasticSearch functionality."""
import logging
import os
import re
import uuid
from typing import Any, Dict, Generator, List, Union
import pytest
from langchain_core.documents import Document
from langchain_community.vectorstores.elasticsearch import ElasticsearchStore
from tests.integration_tests.vectorstor... | langchain/libs/community/tests/integration_tests/vectorstores/test_elasticsearch.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_elasticsearch.py",
"repo_id": "langchain",
"token_count": 17745
} | 357 |
#!/usr/bin/env python3
import argparse
import os
import jax as jnp
import numpy as onp
import torch
import torch.nn as nn
from music_spectrogram_diffusion import inference
from t5x import checkpoints
from diffusers import DDPMScheduler, OnnxRuntimeModel, SpectrogramDiffusionPipeline
from diffusers.pipelines.spectrogr... | diffusers/scripts/convert_music_spectrogram_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_music_spectrogram_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 4469
} | 219 |
pub mod bert;
pub mod byte_level;
pub mod delimiter;
pub mod digits;
pub mod metaspace;
pub mod punctuation;
pub mod sequence;
pub mod split;
pub mod unicode_scripts;
pub mod whitespace;
use serde::{Deserialize, Serialize};
use crate::pre_tokenizers::bert::BertPreTokenizer;
use crate::pre_tokenizers::byte_level::Byte... | tokenizers/tokenizers/src/pre_tokenizers/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/pre_tokenizers/mod.rs",
"repo_id": "tokenizers",
"token_count": 2430
} | 479 |
python_sources()
| llama_index/llama-index-core/llama_index/core/tools/tool_spec/BUILD/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/tools/tool_spec/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,144 |
"""Test Baichuan Text Embedding."""
from langchain_community.embeddings.baichuan import BaichuanTextEmbeddings
def test_baichuan_embedding_documents() -> None:
"""Test Baichuan Text Embedding for documents."""
documents = ["今天天气不错", "今天阳光灿烂"]
embedding = BaichuanTextEmbeddings()
output = embedding.emb... | langchain/libs/community/tests/integration_tests/embeddings/test_baichuan.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/embeddings/test_baichuan.py",
"repo_id": "langchain",
"token_count": 303
} | 329 |
<?xml version="1.0" encoding="UTF-8"?>
<factbook>
<country>
<name>United States</name>
<capital>Washington, DC</capital>
<leader>Joe Biden</leader>
<sport>Baseball</sport>
</country>
<country>
<name>Canada</name>
<capital>Ottawa</capital>
<leader>Justin Trudeau</leader>
<sport>Hock... | langchain/docs/docs/integrations/document_loaders/example_data/factbook.xml/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/example_data/factbook.xml",
"repo_id": "langchain",
"token_count": 276
} | 110 |
<jupyter_start><jupyter_text>Xata>[Xata](https://xata.io) is a serverless data platform, based on `PostgreSQL` and `Elasticsearch`. It provides a Python SDK for interacting with your database, and a UI for managing your data. With the `XataChatMessageHistory` class, you can use Xata databases for longer-term persistenc... | langchain/docs/docs/integrations/memory/xata_chat_message_history.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/memory/xata_chat_message_history.ipynb",
"repo_id": "langchain",
"token_count": 1823
} | 127 |
# neo4j-advanced-rag
This template allows you to balance precise embeddings and context retention by implementing advanced retrieval strategies.
## Strategies
1. **Typical RAG**:
- Traditional method where the exact data indexed is the data retrieved.
2. **Parent retriever**:
- Instead of indexing entire docum... | langchain/templates/neo4j-advanced-rag/README.md/0 | {
"file_path": "langchain/templates/neo4j-advanced-rag/README.md",
"repo_id": "langchain",
"token_count": 1098
} | 693 |
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/roberta.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/roberta.md",
"repo_id": "transformers",
"token_count": 3783
} | 463 |
""" Selective Kernel Networks (ResNet base)
Paper: Selective Kernel Networks (https://arxiv.org/abs/1903.06586)
This was inspired by reading 'Compounding the Performance Improvements...' (https://arxiv.org/abs/2001.06268)
and a streamlined impl at https://github.com/clovaai/assembled-cnn but I ended up building somet... | pytorch-image-models/timm/models/sknet.py/0 | {
"file_path": "pytorch-image-models/timm/models/sknet.py",
"repo_id": "pytorch-image-models",
"token_count": 3801
} | 347 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/unittest/test_utils/indexbuilder_test_utils.h/0 | {
"file_path": "milvus/internal/core/unittest/test_utils/indexbuilder_test_utils.h",
"repo_id": "milvus",
"token_count": 7658
} | 1,687 |
<jupyter_start><jupyter_text>Routing by semantic similarityWith LCEL you can easily add [custom routing logic](/docs/expression_language/how_to/routingusing-a-custom-function) to your chain to dynamically determine the chain logic based on user input. All you need to do is define a function that given an input returns ... | langchain/docs/docs/expression_language/cookbook/embedding_router.ipynb/0 | {
"file_path": "langchain/docs/docs/expression_language/cookbook/embedding_router.ipynb",
"repo_id": "langchain",
"token_count": 833
} | 86 |
from typing import TypeVar
from .arrow_dataset import Dataset, _split_by_node_map_style_dataset
from .iterable_dataset import IterableDataset, _split_by_node_iterable_dataset
DatasetType = TypeVar("DatasetType", Dataset, IterableDataset)
def split_dataset_by_node(dataset: DatasetType, rank: int, world_size: int) -... | datasets/src/datasets/distributed.py/0 | {
"file_path": "datasets/src/datasets/distributed.py",
"repo_id": "datasets",
"token_count": 582
} | 139 |
<jupyter_start><jupyter_text>WandB TracingThere are two recommended ways to trace your LangChains:1. Setting the `LANGCHAIN_WANDB_TRACING` environment variable to "true".1. Using a context manager with tracing_enabled() to trace a particular block of code.**Note** if the environment variable is set, all code will be tr... | langchain/docs/docs/integrations/providers/wandb_tracing.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/providers/wandb_tracing.ipynb",
"repo_id": "langchain",
"token_count": 858
} | 152 |
<jupyter_start><jupyter_text>How to Finetune a cross-encoder using LLamaIndex If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-finetuning-cross-encoders
%pip install llama-index-llms-openai
!pip install llama-index
# Download Requirements
!... | llama_index/docs/examples/finetuning/cross_encoder_finetuning/cross_encoder_finetuning.ipynb/0 | {
"file_path": "llama_index/docs/examples/finetuning/cross_encoder_finetuning/cross_encoder_finetuning.ipynb",
"repo_id": "llama_index",
"token_count": 11460
} | 1,185 |
# coding=utf-8
# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to G... | transformers/src/transformers/models/idefics/modeling_idefics.py/0 | {
"file_path": "transformers/src/transformers/models/idefics/modeling_idefics.py",
"repo_id": "transformers",
"token_count": 31688
} | 698 |
use crate::tokenizer::{Decoder, Result};
use monostate::MustBe;
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, Serialize, Deserialize, Default)]
/// Fuse simply fuses all tokens into one big string.
/// It's usually the last decoding step anyway, but this
/// decoder exists incase some decoders need to ha... | tokenizers/tokenizers/src/decoders/fuse.rs/0 | {
"file_path": "tokenizers/tokenizers/src/decoders/fuse.rs",
"repo_id": "tokenizers",
"token_count": 433
} | 456 |
import {
BaseChatMessageHistory,
BaseListChatMessageHistory,
} from "../chat_history.js";
import {
AIMessage,
BaseMessage,
HumanMessage,
isBaseMessage,
} from "../messages/index.js";
import { Run } from "../tracers/base.js";
import {
Runnable,
RunnableBinding,
type RunnableBindingArgs,
RunnableLambd... | langchainjs/langchain-core/src/runnables/history.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/history.ts",
"repo_id": "langchainjs",
"token_count": 2846
} | 838 |
import type { OpenAI as OpenAIClient } from "openai";
import { AsyncCaller } from "@langchain/core/utils/async_caller";
export const promptLayerTrackRequest = async (
callerFunc: AsyncCaller,
functionName: string,
kwargs:
| OpenAIClient.CompletionCreateParams
| OpenAIClient.Chat.CompletionCreateParams,
... | langchainjs/langchain/src/util/prompt-layer.ts/0 | {
"file_path": "langchainjs/langchain/src/util/prompt-layer.ts",
"repo_id": "langchainjs",
"token_count": 476
} | 947 |
#!/usr/bin/env python
# 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-... | transformers/examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py",
"repo_id": "transformers",
"token_count": 8853
} | 603 |
"""Test HuggingFace Chat wrapper."""
from importlib import import_module
def test_import_class() -> None:
"""Test that the class can be imported."""
module_name = "langchain_community.chat_models.huggingface"
class_name = "ChatHuggingFace"
module = import_module(module_name)
assert hasattr(module... | langchain/libs/community/tests/unit_tests/chat_models/test_huggingface.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/chat_models/test_huggingface.py",
"repo_id": "langchain",
"token_count": 109
} | 363 |
"""Notion reader."""
import logging
import os
from typing import Any, Dict, List, Optional
import requests # type: ignore
from llama_index.legacy.readers.base import BasePydanticReader
from llama_index.legacy.schema import Document
INTEGRATION_TOKEN_NAME = "NOTION_INTEGRATION_TOKEN"
BLOCK_CHILD_URL_TMPL = "https:/... | llama_index/llama-index-legacy/llama_index/legacy/readers/notion.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/notion.py",
"repo_id": "llama_index",
"token_count": 3011
} | 1,609 |
<jupyter_start><jupyter_text>Azure ML[Azure ML](https://azure.microsoft.com/en-us/products/machine-learning/) is a platform used to build, train, and deploy machine learning models. Users can explore the types of models to deploy in the Model Catalog, which provides foundational and general purpose models from differen... | langchain/docs/docs/integrations/llms/azure_ml.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/azure_ml.ipynb",
"repo_id": "langchain",
"token_count": 2853
} | 115 |
"""Integration test for Wikipedia Document Loader."""
from typing import List
from langchain_core.documents import Document
from langchain_community.document_loaders import WikipediaLoader
def assert_docs(docs: List[Document], all_meta: bool = False) -> None:
for doc in docs:
assert doc.page_content
... | langchain/libs/community/tests/integration_tests/document_loaders/test_wikipedia.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_wikipedia.py",
"repo_id": "langchain",
"token_count": 653
} | 353 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-dense-x-retrieval/llama_index/packs/dense_x_retrieval/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-dense-x-retrieval/llama_index/packs/dense_x_retrieval/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,666 |
"""Finetuning script for RAG models. Adapted from examples.seq2seq.finetune.py"""
import argparse
import copy
import json
import logging
import multiprocessing
import os
import random
import shutil
import sys
import time
from collections import defaultdict
from pathlib import Path
from typing import Any, Dict, List, T... | transformers/examples/research_projects/rag-end2end-retriever/finetune_rag.py/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/finetune_rag.py",
"repo_id": "transformers",
"token_count": 15752
} | 585 |
# CSP-ResNet
**CSPResNet** is a convolutional neural network where we apply the Cross Stage Partial Network (CSPNet) approach to [ResNet](https://paperswithcode.com/method/resnet). The CSPNet partitions the feature map of the base layer into two parts and then merges them through a cross-stage hierarchy. The use of a ... | pytorch-image-models/docs/models/csp-resnet.md/0 | {
"file_path": "pytorch-image-models/docs/models/csp-resnet.md",
"repo_id": "pytorch-image-models",
"token_count": 1703
} | 350 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.llava_completion import LlavaCompletionPack
def test_class():
names_of_base_classes = [b.__name__ for b in LlavaCompletionPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-llava-completion/tests/test_packs_llava_completion.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-llava-completion/tests/test_packs_llava_completion.py",
"repo_id": "llama_index",
"token_count": 100
} | 1,664 |
# coding=utf-8
# Copyright 2010, DPR authors, The Hugging Face 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 ... | transformers/src/transformers/models/dpr/configuration_dpr.py/0 | {
"file_path": "transformers/src/transformers/models/dpr/configuration_dpr.py",
"repo_id": "transformers",
"token_count": 2766
} | 636 |
export class ProgressBar {
total: number;
current: number;
barLength: number;
format: string;
constructor(props: { total: number; format?: string; barLength?: number }) {
const { total, format, barLength } = props;
this.total = total;
this.current = 0;
this.barLength = barLength ?? 40;
... | langchainjs/langchain/src/smith/progress.ts/0 | {
"file_path": "langchainjs/langchain/src/smith/progress.ts",
"repo_id": "langchainjs",
"token_count": 676
} | 988 |
# coding=utf-8
# Copyright 2020 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/generation/beam_search.py/0 | {
"file_path": "transformers/src/transformers/generation/beam_search.py",
"repo_id": "transformers",
"token_count": 22653
} | 594 |
import { Client } from "langsmith";
import { LangChainTracer } from "../../tracers/tracer_langchain.js";
import {
BaseOutputParser,
FormatInstructionsOptions,
} from "../../output_parsers/base.js";
import { FakeChatModel } from "../../utils/testing/index.js";
import { getEnvironmentVariable } from "../../utils/env.... | langchainjs/langchain-core/src/runnables/tests/runnable_tracing.int.test.ts/0 | {
"file_path": "langchainjs/langchain-core/src/runnables/tests/runnable_tracing.int.test.ts",
"repo_id": "langchainjs",
"token_count": 366
} | 833 |
<!--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/ko/tf_xla.md/0 | {
"file_path": "transformers/docs/source/ko/tf_xla.md",
"repo_id": "transformers",
"token_count": 6205
} | 530 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.gradio_agent_chat import GradioAgentChatPack
def test_class():
names_of_base_classes = [b.__name__ for b in GradioAgentChatPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-gradio-agent-chat/tests/test_packs_gradio_agent_chat.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gradio-agent-chat/tests/test_packs_gradio_agent_chat.py",
"repo_id": "llama_index",
"token_count": 101
} | 1,658 |
# Wolfram Alpha
>[WolframAlpha](https://en.wikipedia.org/wiki/WolframAlpha) is an answer engine developed by `Wolfram Research`.
> It answers factual queries by computing answers from externally sourced data.
This page covers how to use the `Wolfram Alpha API` within LangChain.
## Installation and Setup
- Install r... | langchain/docs/docs/integrations/providers/wolfram_alpha.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/wolfram_alpha.mdx",
"repo_id": "langchain",
"token_count": 334
} | 154 |
import tempfile
from typing import Generator, cast
import pytest
from langchain_core.documents import Document
from langchain.storage._lc_store import create_kv_docstore, create_lc_store
from langchain.storage.file_system import LocalFileStore
@pytest.fixture
def file_store() -> Generator[LocalFileStore, None, None... | langchain/libs/langchain/tests/unit_tests/storage/test_lc_store.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/storage/test_lc_store.py",
"repo_id": "langchain",
"token_count": 483
} | 635 |
python_tests()
| llama_index/llama-index-integrations/tools/llama-index-tools-arxiv/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-arxiv/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,475 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/yoso/test_modeling_yoso.py/0 | {
"file_path": "transformers/tests/models/yoso/test_modeling_yoso.py",
"repo_id": "transformers",
"token_count": 7199
} | 747 |
use pyo3::prelude::*;
use tk::Token;
#[pyclass(module = "tokenizers", name = "Token")]
#[derive(Clone)]
pub struct PyToken {
token: Token,
}
impl From<Token> for PyToken {
fn from(token: Token) -> Self {
Self { token }
}
}
impl From<PyToken> for Token {
fn from(token: PyToken) -> Self {
... | tokenizers/bindings/python/src/token.rs/0 | {
"file_path": "tokenizers/bindings/python/src/token.rs",
"repo_id": "tokenizers",
"token_count": 439
} | 445 |
<jupyter_start><jupyter_text>Manipulation de plusieurs séquences (PyTorch) Installez la bibliothèque 🤗 *Transformers* pour exécuter ce *notebook*.<jupyter_code>!pip install transformers[sentencepiece]
import torch
from transformers import AutoTokenizer, AutoModelForSequenceClassification
checkpoint = "tblard/tf-alloc... | notebooks/course/fr/chapter2/section5_pt.ipynb/0 | {
"file_path": "notebooks/course/fr/chapter2/section5_pt.ipynb",
"repo_id": "notebooks",
"token_count": 814
} | 284 |
export * from "./retrievers.js";
export * from "./tools.js";
| langchainjs/libs/langchain-exa/src/index.ts/0 | {
"file_path": "langchainjs/libs/langchain-exa/src/index.ts",
"repo_id": "langchainjs",
"token_count": 22
} | 977 |
# LlamaIndex Readers Integration: Wikipedia
| llama_index/llama-index-integrations/readers/llama-index-readers-wikipedia/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-wikipedia/README.md",
"repo_id": "llama_index",
"token_count": 9
} | 1,397 |
python_tests(
interpreter_constraints=["==3.9.*", "==3.10.*"],
)
| llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-text-to-image/tests/BUILD",
"repo_id": "llama_index",
"token_count": 29
} | 1,459 |
#!/usr/bin/env bash
# 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 r... | transformers/scripts/fsmt/convert-facebook-wmt19.sh/0 | {
"file_path": "transformers/scripts/fsmt/convert-facebook-wmt19.sh",
"repo_id": "transformers",
"token_count": 1121
} | 545 |
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