text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
<jupyter_start><jupyter_text>OpenAI If you're opening this Notebook on colab, you will probably need to install LlamaIndex ๐ฆ.<jupyter_code>%pip install llama-index-llms-openai
!pip install llama-index<jupyter_output><empty_output><jupyter_text>Basic Usage Call `complete` with a prompt<jupyter_code>from llama_index.ll... | llama_index/docs/examples/llm/openai.ipynb/0 | {
"file_path": "llama_index/docs/examples/llm/openai.ipynb",
"repo_id": "llama_index",
"token_count": 1585
} | 1,145 |
<html>
<main id="main-content">
Hello <span><em>World</em>!</span>
</main>
</html>
| langchain/libs/community/tests/unit_tests/document_loaders/test_docs/readthedocs/nested_html_structure/test.html/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/test_docs/readthedocs/nested_html_structure/test.html",
"repo_id": "langchain",
"token_count": 41
} | 401 |
import inspect
import tempfile
import unittest
import numpy as np
import transformers
from transformers import CLIPConfig, CLIPTextConfig, CLIPVisionConfig, is_flax_available, is_torch_available
from transformers.testing_utils import is_pt_flax_cross_test, require_flax, slow
from ...test_modeling_flax_common import ... | transformers/tests/models/clip/test_modeling_flax_clip.py/0 | {
"file_path": "transformers/tests/models/clip/test_modeling_flax_clip.py",
"repo_id": "transformers",
"token_count": 11160
} | 806 |
use crate::Result;
use hf_hub::{api::sync::ApiBuilder, Repo, RepoType};
use std::collections::HashMap;
use std::path::PathBuf;
/// Defines the aditional parameters available for the `from_pretrained` function
#[derive(Debug, Clone)]
pub struct FromPretrainedParameters {
pub revision: String,
pub user_agent: Ha... | tokenizers/tokenizers/src/utils/from_pretrained.rs/0 | {
"file_path": "tokenizers/tokenizers/src/utils/from_pretrained.rs",
"repo_id": "tokenizers",
"token_count": 913
} | 436 |
<!--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/ko/perf_train_cpu.md/0 | {
"file_path": "transformers/docs/source/ko/perf_train_cpu.md",
"repo_id": "transformers",
"token_count": 2391
} | 505 |
from langchain_community.llms.predibase import Predibase
__all__ = ["Predibase"]
| langchain/libs/langchain/langchain/llms/predibase.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/predibase.py",
"repo_id": "langchain",
"token_count": 28
} | 519 |
# Milvus
>[Milvus](https://milvus.io/docs/overview.md) is a database that stores, indexes, and manages
> massive embedding vectors generated by deep neural networks and other machine learning (ML) models.
## Installation and Setup
Install the Python SDK:
```bash
pip install pymilvus
```
## Vector Store
There exi... | langchain/docs/docs/integrations/providers/milvus.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/milvus.mdx",
"repo_id": "langchain",
"token_count": 188
} | 149 |
# agent runner + agent worker
from llama_index.legacy.agent.custom.pipeline_worker import QueryPipelineAgentWorker
from llama_index.legacy.agent.custom.simple import CustomSimpleAgentWorker
from llama_index.legacy.agent.legacy.context_retriever_agent import (
ContextRetrieverOpenAIAgent,
)
from llama_index.legacy.a... | llama_index/llama-index-legacy/llama_index/legacy/agent/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/__init__.py",
"repo_id": "llama_index",
"token_count": 683
} | 1,503 |
import json
import logging
from typing import Any, AsyncIterator, Dict, List, Optional, cast
import requests
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import... | langchain/libs/community/langchain_community/chat_models/pai_eas_endpoint.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_models/pai_eas_endpoint.py",
"repo_id": "langchain",
"token_count": 4696
} | 240 |
<jupyter_start><jupyter_text>If you're opening this Notebook on colab, you will probably need to install ๐ค Transformers and ๐ค Datasets. Uncomment the following cell and run it. We also use the `sacrebleu` and `sentencepiece` libraries - you may need to install these even if you already have ๐ค Transformers!<jupyter_c... | notebooks/examples/translation-tf.ipynb/0 | {
"file_path": "notebooks/examples/translation-tf.ipynb",
"repo_id": "notebooks",
"token_count": 8046
} | 298 |
# coding=utf-8
# Copyright 2020 The Allen Institute for AI team and The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | transformers/src/transformers/models/longformer/modeling_longformer.py/0 | {
"file_path": "transformers/src/transformers/models/longformer/modeling_longformer.py",
"repo_id": "transformers",
"token_count": 47033
} | 637 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/tests/pipelines/test_pipelines_image_to_text.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_image_to_text.py",
"repo_id": "transformers",
"token_count": 4579
} | 839 |
import { logVersion010MigrationWarning } from "../util/entrypoint_deprecation.js";
/* #__PURE__ */ logVersion010MigrationWarning({
oldEntrypointName: "base_language",
newEntrypointName: "language_models/base",
newPackageName: "@langchain/core",
});
export {
type SerializedLLM,
type BaseLangChainParams,
Ba... | langchainjs/langchain/src/base_language/index.ts/0 | {
"file_path": "langchainjs/langchain/src/base_language/index.ts",
"repo_id": "langchainjs",
"token_count": 253
} | 886 |
# ๐ค Transformers doc notebooks
These notebooks are automatically generated from the [๐ค Transformers documentation](https://huggingface.co/transformers/)
so you should not make any direct modification here. If there is a typo to fix or a sentence to add, open a pull
request in the [๐ค Transformers repo](https://githu... | notebooks/transformers_doc/README.md/0 | {
"file_path": "notebooks/transformers_doc/README.md",
"repo_id": "notebooks",
"token_count": 169
} | 311 |
// 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/index/IndexStructure.h/0 | {
"file_path": "milvus/internal/core/src/index/IndexStructure.h",
"repo_id": "milvus",
"token_count": 545
} | 1,753 |
import os
from langchain_community.graphs import MemgraphGraph
def test_cypher_return_correct_schema() -> None:
"""Test that chain returns direct results."""
url = os.environ.get("MEMGRAPH_URI", "bolt://localhost:7687")
username = os.environ.get("MEMGRAPH_USERNAME", "")
password = os.environ.get("MEM... | langchain/libs/community/tests/integration_tests/graphs/test_memgraph.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/graphs/test_memgraph.py",
"repo_id": "langchain",
"token_count": 826
} | 352 |
import { Client, RequestParams, errors } from "@opensearch-project/opensearch";
import * as uuid from "uuid";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import { VectorStore } from "@langchain/core/vectorstores";
import { Document } from "@langchain/core/documents";
type OpenSearchEngine = ... | langchainjs/libs/langchain-community/src/vectorstores/opensearch.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/opensearch.ts",
"repo_id": "langchainjs",
"token_count": 5294
} | 967 |
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | diffusers/scripts/convert_original_controlnet_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_original_controlnet_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 1608
} | 232 |
# Shale Protocol
[Shale Protocol](https://shaleprotocol.com) provides production-ready inference APIs for open LLMs. It's a Plug & Play API as it's hosted on a highly scalable GPU cloud infrastructure.
Our free tier supports up to 1K daily requests per key as we want to eliminate the barrier for anyone to start buil... | langchain/docs/docs/integrations/providers/shaleprotocol.md/0 | {
"file_path": "langchain/docs/docs/integrations/providers/shaleprotocol.md",
"repo_id": "langchain",
"token_count": 461
} | 145 |
"""Vector DB tool spec."""
from typing import List
from llama_index.core.indices.base import BaseIndex
from llama_index.core.query_engine import RetrieverQueryEngine
from llama_index.core.retrievers import VectorIndexRetriever
from llama_index.core.tools.tool_spec.base import BaseToolSpec
from llama_index.core.vector... | llama_index/llama-index-integrations/tools/llama-index-tools-vector-db/llama_index/tools/vector_db/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-vector-db/llama_index/tools/vector_db/base.py",
"repo_id": "llama_index",
"token_count": 720
} | 1,636 |
python_sources()
| llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/llama_index/storage/docstore/postgres/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/docstore/llama-index-storage-docstore-postgres/llama_index/storage/docstore/postgres/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,403 |
<jupyter_start><jupyter_text>AimAim makes it super easy to visualize and debug LangChain executions. Aim tracks inputs and outputs of LLMs and tools, as well as actions of agents. With Aim, you can easily debug and examine an individual execution:Additionally, you have the option to compare multiple executions side by ... | langchain/docs/docs/integrations/providers/aim_tracking.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/providers/aim_tracking.ipynb",
"repo_id": "langchain",
"token_count": 1612
} | 139 |
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | transformers/src/transformers/models/pop2piano/convert_pop2piano_weights_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/pop2piano/convert_pop2piano_weights_to_hf.py",
"repo_id": "transformers",
"token_count": 3446
} | 718 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.nougat_ocr import PDFNougatOCR
def test_class():
names_of_base_classes = [b.__name__ for b in PDFNougatOCR.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-nougat-ocr/tests/test_readers_nougat_ocr.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-nougat-ocr/tests/test_readers_nougat_ocr.py",
"repo_id": "llama_index",
"token_count": 97
} | 1,349 |
<jupyter_start><jupyter_text>IBM watsonx.ai>[WatsonxLLM](https://ibm.github.io/watsonx-ai-python-sdk/fm_extensions.htmllangchain) is a wrapper for IBM [watsonx.ai](https://www.ibm.com/products/watsonx-ai) foundation models.This example shows how to communicate with `watsonx.ai` models using `LangChain`. Setting upInst... | langchain/docs/docs/integrations/llms/ibm_watsonx.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/llms/ibm_watsonx.ipynb",
"repo_id": "langchain",
"token_count": 1588
} | 119 |
# Dealing with API Errors
If the model provider returns an error from their API, by default LangChain will retry up to 6 times on an exponential backoff. This enables error recovery without any additional effort from you. If you want to change this behavior, you can pass a `maxRetries` option when you instantiate the ... | langchainjs/docs/core_docs/docs/modules/model_io/chat/dealing_with_api_errors.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/chat/dealing_with_api_errors.mdx",
"repo_id": "langchainjs",
"token_count": 180
} | 767 |
import { test, expect } from "@jest/globals";
import { TransformChain } from "../transform.js";
test("TransformChain", async () => {
const chain = new TransformChain({
transform: async (values: { a: number; b: number }) => ({
c: values.a + values.b,
}),
inputVariables: ["a", "b"],
outputVariabl... | langchainjs/langchain/src/chains/tests/transform.test.ts/0 | {
"file_path": "langchainjs/langchain/src/chains/tests/transform.test.ts",
"repo_id": "langchainjs",
"token_count": 151
} | 963 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querycoordv2/dist/dist_controller_test.go/0 | {
"file_path": "milvus/internal/querycoordv2/dist/dist_controller_test.go",
"repo_id": "milvus",
"token_count": 2036
} | 1,758 |
<jupyter_start><jupyter_text>Pebblo Safe DocumentLoader> [Pebblo](https://github.com/daxa-ai/pebblo) enables developers to safely load data and promote their Gen AI app to deployment without worrying about the organizationโs compliance and security requirements. The project identifies semantic topics and entities found... | langchain/docs/docs/integrations/document_loaders/pebblo.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/document_loaders/pebblo.ipynb",
"repo_id": "langchain",
"token_count": 541
} | 108 |
<jupyter_start><jupyter_text>Adding memoryThis shows how to add memory to an arbitrary chain. Right now, you can use the memory classes but need to hook it up manually<jupyter_code>%pip install --upgrade --quiet langchain langchain-openai
from operator import itemgetter
from langchain.memory import ConversationBuffer... | langchain/docs/docs/expression_language/cookbook/memory.ipynb/0 | {
"file_path": "langchain/docs/docs/expression_language/cookbook/memory.ipynb",
"repo_id": "langchain",
"token_count": 413
} | 83 |
python_tests(
name="tests",
skip_tests=True,
)
python_sources()
| llama_index/llama-index-legacy/tests/tools/tool_spec/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/tools/tool_spec/BUILD",
"repo_id": "llama_index",
"token_count": 32
} | 1,683 |
# ๐ฆ๏ธ๐ WebLangChain
This repo is an example of performing retrieval using the entire internet as a document store.
**Try it live:** [weblangchain.vercel.app](https://weblangchain.vercel.app)
## โ
Running locally
By default, WebLangChain uses [Tavily](https://tavily.com) to fetch content from webpages. You can get ... | weblangchain/README.md/0 | {
"file_path": "weblangchain/README.md",
"repo_id": "weblangchain",
"token_count": 1294
} | 2,063 |
import { BaseStringPromptTemplate } from "./string.js";
import type {
BasePromptTemplateInput,
TypedPromptInputValues,
Example,
} from "./base.js";
import type { BaseExampleSelector } from "../example_selectors/base.js";
import {
type TemplateFormat,
checkValidTemplate,
renderTemplate,
} from "./template.js... | langchainjs/langchain-core/src/prompts/few_shot.ts/0 | {
"file_path": "langchainjs/langchain-core/src/prompts/few_shot.ts",
"repo_id": "langchainjs",
"token_count": 4793
} | 855 |
use super::gym_env::{GymEnv, Step};
use candle::{DType, Device, Error, Module, Result, Tensor};
use candle_nn::{
linear, ops::log_softmax, ops::softmax, sequential::seq, Activation, AdamW, Optimizer,
ParamsAdamW, VarBuilder, VarMap,
};
use rand::{distributions::Distribution, rngs::ThreadRng, Rng};
fn new_model... | candle/candle-examples/examples/reinforcement-learning/policy_gradient.rs/0 | {
"file_path": "candle/candle-examples/examples/reinforcement-learning/policy_gradient.rs",
"repo_id": "candle",
"token_count": 2333
} | 46 |
from typing import List
from langchain_community.document_loaders.unstructured import (
UnstructuredFileLoader,
satisfies_min_unstructured_version,
)
class UnstructuredEPubLoader(UnstructuredFileLoader):
"""Load `EPub` files using `Unstructured`.
You can run the loader in one of two modes: "single" ... | langchain/libs/community/langchain_community/document_loaders/epub.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/epub.py",
"repo_id": "langchain",
"token_count": 534
} | 236 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-weaviate/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-weaviate/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,388 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-maps/llama_index/readers/maps/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-maps/llama_index/readers/maps/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,423 |
from typing import Dict
import pytest
from pytest_mock import MockerFixture
from langchain_community.llms import GradientLLM
_MODEL_ID = "my_model_valid_id"
_GRADIENT_SECRET = "secret_valid_token_123456"
_GRADIENT_WORKSPACE_ID = "valid_workspace_12345"
_GRADIENT_BASE_URL = "https://api.gradient.ai/api"
class MockR... | langchain/libs/community/tests/unit_tests/llms/test_gradient_ai.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/llms/test_gradient_ai.py",
"repo_id": "langchain",
"token_count": 1308
} | 377 |
from rag_gemini_multi_modal.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-gemini-multi-modal/rag_gemini_multi_modal/__init__.py/0 | {
"file_path": "langchain/templates/rag-gemini-multi-modal/rag_gemini_multi_modal/__init__.py",
"repo_id": "langchain",
"token_count": 24
} | 696 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package cluster
import (
context "context"
mock "github.com/stretchr/testify/mock"
)
// MockManager is an autogenerated mock type for the Manager type
type MockManager struct {
mock.Mock
}
type MockManager_Expecter struct {
mock *mock.Mock
}
func (_m *MockMan... | milvus/internal/querynodev2/cluster/mock_manager.go/0 | {
"file_path": "milvus/internal/querynodev2/cluster/mock_manager.go",
"repo_id": "milvus",
"token_count": 944
} | 2,039 |
from typing import Optional
from langchain_core.pydantic_v1 import Field
from langchain_core.runnables import RunnableConfig
from langchain_core.runnables.utils import ConfigurableFieldSpec
from langgraph.checkpoint.base import BaseCheckpointSaver, Checkpoint
class MemorySaver(BaseCheckpointSaver):
storage: dic... | langgraph/langgraph/checkpoint/memory.py/0 | {
"file_path": "langgraph/langgraph/checkpoint/memory.py",
"repo_id": "langgraph",
"token_count": 410
} | 1,033 |
from llama_index.core.vector_stores.types import BasePydanticVectorStore
from llama_index.vector_stores.deeplake import DeepLakeVectorStore
def test_class():
names_of_base_classes = [b.__name__ for b in DeepLakeVectorStore.__mro__]
assert BasePydanticVectorStore.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/tests/test_vector_stores_deeplake.py/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-deeplake/tests/test_vector_stores_deeplake.py",
"repo_id": "llama_index",
"token_count": 102
} | 1,601 |
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-firestore/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/storage/index_store/llama-index-storage-index-store-firestore/BUILD",
"repo_id": "llama_index",
"token_count": 18
} | 1,598 |
<jupyter_start><jupyter_text>Quantizing a model with ONNX Runtime for text classification tasks This notebook shows how to apply different post-training quantization approaches such as static and dynamic quantization using [ONNX Runtime](https://onnxruntime.ai), for any tasks of the GLUE benchmark. This is made possibl... | notebooks/examples/text_classification_quantization_ort.ipynb/0 | {
"file_path": "notebooks/examples/text_classification_quantization_ort.ipynb",
"repo_id": "notebooks",
"token_count": 4607
} | 326 |
python_sources()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/llama_index/vector_stores/opensearch/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-opensearch/llama_index/vector_stores/opensearch/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,531 |
import base64
import logging
from typing import List, Sequence
import requests
from llama_index.legacy.schema import ImageDocument
logger = logging.getLogger(__name__)
def load_image_urls(image_urls: List[str]) -> List[ImageDocument]:
# load remote image urls into image documents
image_documents = []
f... | llama_index/llama-index-legacy/llama_index/legacy/multi_modal_llms/generic_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/multi_modal_llms/generic_utils.py",
"repo_id": "llama_index",
"token_count": 728
} | 1,686 |
// 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/datacoord/channel_manager_test.go/0 | {
"file_path": "milvus/internal/datacoord/channel_manager_test.go",
"repo_id": "milvus",
"token_count": 16803
} | 1,762 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/agent/react_multimodal/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/agent/react_multimodal/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,578 |
<jupyter_start><jupyter_text>Parallel Processing SimpleDirectoryReader In this notebook, we demonstrate how to use parallel processing when loading data with `SimpleDirectoryReader`. Parallel processing can be useful with heavier workloads i.e., loading from a directory consisting of many files. (NOTE: if using Windows... | llama_index/docs/examples/data_connectors/simple_directory_reader_parallel.ipynb/0 | {
"file_path": "llama_index/docs/examples/data_connectors/simple_directory_reader_parallel.ipynb",
"repo_id": "llama_index",
"token_count": 1675
} | 1,178 |
---
sidebar_position: 2
---
# Caching
LangChain provides an optional caching layer for LLMs. This is useful for two reasons:
It can save you money by reducing the number of API calls you make to the LLM provider, if you're often requesting the same completion multiple times.
It can speed up your application by reduc... | langchainjs/docs/core_docs/docs/modules/model_io/llms/llm_caching.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/llms/llm_caching.mdx",
"repo_id": "langchainjs",
"token_count": 2016
} | 769 |
# Agents
## Concept
Data Agents are LLM-powered knowledge workers in LlamaIndex that can intelligently perform various tasks over your data, in both a โreadโ and โwriteโ function. They are capable of the following:
- Perform automated search and retrieval over different types of data - unstructured, semi-structured,... | llama_index/docs/module_guides/deploying/agents/root.md/0 | {
"file_path": "llama_index/docs/module_guides/deploying/agents/root.md",
"repo_id": "llama_index",
"token_count": 906
} | 1,097 |
from langchain_community.tools.searx_search.tool import (
SearxSearchResults,
SearxSearchRun,
)
__all__ = ["SearxSearchRun", "SearxSearchResults"]
| langchain/libs/langchain/langchain/tools/searx_search/tool.py/0 | {
"file_path": "langchain/libs/langchain/langchain/tools/searx_search/tool.py",
"repo_id": "langchain",
"token_count": 58
} | 610 |
""" MobileNet V3
A PyTorch impl of MobileNet-V3, compatible with TF weights from official impl.
Paper: Searching for MobileNetV3 - https://arxiv.org/abs/1905.02244
Hacked together by / Copyright 2019, Ross Wightman
"""
from functools import partial
from typing import Callable, List, Optional, Tuple
import torch
imp... | pytorch-image-models/timm/models/mobilenetv3.py/0 | {
"file_path": "pytorch-image-models/timm/models/mobilenetv3.py",
"repo_id": "pytorch-image-models",
"token_count": 17103
} | 404 |
"""Get evaluation utils.
NOTE: These are beta functions, might change.
"""
import asyncio
import os
import subprocess
import tempfile
from collections import defaultdict
from typing import Any, List, Optional, Tuple
import numpy as np
import pandas as pd
from llama_index_client import ProjectCreate
from llama_inde... | llama_index/llama-index-core/llama_index/core/evaluation/eval_utils.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/eval_utils.py",
"repo_id": "llama_index",
"token_count": 2457
} | 1,255 |
python_sources()
| llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/llama_index/packs/gradio_react_agent_chatbot/BUILD/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-gradio-react-agent-chatbot/llama_index/packs/gradio_react_agent_chatbot/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,706 |
from langchain_community.vectorstores.starrocks import (
StarRocks,
StarRocksSettings,
)
__all__ = [
"StarRocksSettings",
"StarRocks",
]
| langchain/libs/langchain/langchain/vectorstores/starrocks.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/starrocks.py",
"repo_id": "langchain",
"token_count": 62
} | 631 |
from llama_index.core.llms.base import BaseLLM
from llama_index.llms.everlyai import EverlyAI
def test_embedding_class():
names_of_base_classes = [b.__name__ for b in EverlyAI.__mro__]
assert BaseLLM.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/llms/llama-index-llms-everlyai/tests/test_llms_everlyai.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-everlyai/tests/test_llms_everlyai.py",
"repo_id": "llama_index",
"token_count": 94
} | 1,351 |
// Variables are wrappers around tensors that can be modified, they are typically used for holding
// weights and being modified by gradient descent.
// We do not expose a public way to create variables as this would break the invariant that the
// tensor within a variable is actually with `is_variable` set to `true`.
... | candle/candle-core/src/variable.rs/0 | {
"file_path": "candle/candle-core/src/variable.rs",
"repo_id": "candle",
"token_count": 2057
} | 39 |
import { expect, test } from "@jest/globals";
import chroma from "./initClient";
import { IncludeEnum } from "../src/types";
import { IDS, DOCUMENTS, EMBEDDINGS, METADATAS } from "./data";
test("it should get embedding with matching documents", async () => {
await chroma.reset();
const collection = await chroma.cr... | chroma/clients/js/test/update.collection.test.ts/0 | {
"file_path": "chroma/clients/js/test/update.collection.test.ts",
"repo_id": "chroma",
"token_count": 853
} | 38 |
from langchain_core.documents import Document
from langchain_community.vectorstores import Bagel
from tests.integration_tests.vectorstores.fake_embeddings import (
FakeEmbeddings,
)
def test_similarity_search() -> None:
"""Test similarity search"""
from bagel.config import Settings
setting = Setting... | langchain/libs/community/tests/integration_tests/vectorstores/test_bagel.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/test_bagel.py",
"repo_id": "langchain",
"token_count": 2395
} | 374 |
# coding=utf-8
# Copyright 2022 SenseTime and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.... | transformers/src/transformers/models/deformable_detr/modeling_deformable_detr.py/0 | {
"file_path": "transformers/src/transformers/models/deformable_detr/modeling_deformable_detr.py",
"repo_id": "transformers",
"token_count": 51434
} | 629 |
from llama_index.readers.mangoapps_guides.base import MangoppsGuidesReader
__all__ = ["MangoppsGuidesReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/llama_index/readers/mangoapps_guides/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mangoapps-guides/llama_index/readers/mangoapps_guides/__init__.py",
"repo_id": "llama_index",
"token_count": 40
} | 1,403 |
<jupyter_start><jupyter_text>JSON Query EngineThe JSON query engine is useful for querying JSON documents that conform to a JSON schema.This JSON schema is then used in the context of a prompt to convert a natural language query into a structured JSON Path query. This JSON Path query is then used to retrieve data to an... | llama_index/docs/examples/query_engine/json_query_engine.ipynb/0 | {
"file_path": "llama_index/docs/examples/query_engine/json_query_engine.ipynb",
"repo_id": "llama_index",
"token_count": 2604
} | 1,127 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-ionic-shopping/llama_index/tools/ionic_shopping/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-ionic-shopping/llama_index/tools/ionic_shopping/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,515 |
# Bonus: Learn to create your own environments with Unity and MLAgents
**You can create your own reinforcement learning environments with Unity and MLAgents**. Using a game engine such as Unity can be intimidating at first, but here are the steps you can take to learn smoothly.
## Step 1: Know how to use Unity
- The... | deep-rl-class/units/en/unit5/bonus.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit5/bonus.mdx",
"repo_id": "deep-rl-class",
"token_count": 360
} | 171 |
---
hide_table_of_contents: true
---
import CodeBlock from "@theme/CodeBlock";
# Gmail Tool
The Gmail Tool allows your agent to create and view messages from a linked email account.
## Setup
You will need to get an API key from [Google here](https://developers.google.com/gmail/api/guides)
and [enable the new Gmail... | langchainjs/docs/core_docs/docs/integrations/tools/gmail.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/tools/gmail.mdx",
"repo_id": "langchainjs",
"token_count": 286
} | 739 |
# The builder image, used to build the virtual environment
FROM python:3.11-buster as builder
RUN apt-get update && apt-get install -y git
RUN pip install poetry==1.4.2
ENV POETRY_NO_INTERACTION=1 \
POETRY_VIRTUALENVS_IN_PROJECT=1 \
POETRY_VIRTUALENVS_CREATE=1 \
POETRY_CACHE_DIR=/tmp/poetry_cache
# A di... | streamlit-agent/Dockerfile/0 | {
"file_path": "streamlit-agent/Dockerfile",
"repo_id": "streamlit-agent",
"token_count": 325
} | 2,001 |
// 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/tests/integration/refreshconfig/refresh_config_test.go/0 | {
"file_path": "milvus/tests/integration/refreshconfig/refresh_config_test.go",
"repo_id": "milvus",
"token_count": 1918
} | 1,879 |
""" Test Time Pooling (Average-Max Pool)
Hacked together by / Copyright 2020 Ross Wightman
"""
import logging
from torch import nn
import torch.nn.functional as F
from .adaptive_avgmax_pool import adaptive_avgmax_pool2d
_logger = logging.getLogger(__name__)
class TestTimePoolHead(nn.Module):
def __init__(sel... | pytorch-image-models/timm/layers/test_time_pool.py/0 | {
"file_path": "pytorch-image-models/timm/layers/test_time_pool.py",
"repo_id": "pytorch-image-models",
"token_count": 881
} | 379 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-docugami/llama_index/readers/docugami/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-docugami/llama_index/readers/docugami/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,484 |
<jupyter_start><jupyter_text>Rerank can speed up an LLM query without sacrificing accuracy (and in fact, probably improving it). It does so by pruning away irrelevant nodes from the context. If you're opening this Notebook on colab, you will probably need to install LlamaIndex ๐ฆ.<jupyter_code>%pip install llama-index-... | llama_index/docs/examples/node_postprocessor/SentenceTransformerRerank.ipynb/0 | {
"file_path": "llama_index/docs/examples/node_postprocessor/SentenceTransformerRerank.ipynb",
"repo_id": "llama_index",
"token_count": 1336
} | 1,153 |
eetq_commit := 71adb5e191bb8290069a580abff0355d7b2dd5c9
eetq:
# Clone eetq
pip install packaging
git clone https://github.com/NetEase-FuXi/EETQ.git eetq
build-eetq: eetq
cd eetq && git fetch && git checkout $(eetq_commit) && git submodule update --init --recursive
cd eetq && python setup.py build
install-eet... | text-generation-inference/server/Makefile-eetq/0 | {
"file_path": "text-generation-inference/server/Makefile-eetq",
"repo_id": "text-generation-inference",
"token_count": 155
} | 432 |
from llama_index.packs.agent_search_retriever.base import (
AgentSearchRetriever,
AgentSearchRetrieverPack,
)
__all__ = ["AgentSearchRetriever", "AgentSearchRetrieverPack"]
| llama_index/llama-index-packs/llama-index-packs-agent-search-retriever/llama_index/packs/agent_search_retriever/__init__.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-agent-search-retriever/llama_index/packs/agent_search_retriever/__init__.py",
"repo_id": "llama_index",
"token_count": 64
} | 1,641 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,399 |
<jupyter_start><jupyter_code>! pip install --quiet langchain_community tiktoken langchain-openai langchainhub chromadb langchain langgraph tavily-python langchain-mistralai gpt4all<jupyter_output><empty_output><jupyter_text>Corrective RAGSelf-reflection can enhance RAG, enabling correction of poor quality retrieval or ... | langgraph/examples/rag/langgraph_crag_mistral.ipynb/0 | {
"file_path": "langgraph/examples/rag/langgraph_crag_mistral.ipynb",
"repo_id": "langgraph",
"token_count": 5856
} | 990 |
const getTimezoneOffsetInHours = () => {
const offsetInMinutes = new Date().getTimezoneOffset();
const offsetInHours = -offsetInMinutes / 60;
return offsetInHours;
};
export { getTimezoneOffsetInHours };
| langchainjs/libs/langchain-community/src/tools/google_calendar/utils/get-timezone-offset-in-hours.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/tools/google_calendar/utils/get-timezone-offset-in-hours.ts",
"repo_id": "langchainjs",
"token_count": 63
} | 1,041 |
# Flyte
> [Flyte](https://github.com/flyteorg/flyte) is an open-source orchestrator that facilitates building production-grade data and ML pipelines.
> It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform.
The purpose of this notebook is to demonstrate the integration of a... | langchain/docs/docs/integrations/providers/flyte.mdx/0 | {
"file_path": "langchain/docs/docs/integrations/providers/flyte.mdx",
"repo_id": "langchain",
"token_count": 2018
} | 133 |
# Copyright 2024 TencentARC 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 requir... | diffusers/src/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_adapter.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_adapter.py",
"repo_id": "diffusers",
"token_count": 20708
} | 253 |
#!/usr/bin/env python3
# coding=utf-8
# Copyright 2023-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
#... | peft/tests/test_poly.py/0 | {
"file_path": "peft/tests/test_poly.py",
"repo_id": "peft",
"token_count": 1541
} | 352 |
"""Fake Chat Model wrapper for testing purposes."""
import asyncio
import re
import time
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, Union, cast
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_mode... | langchain/libs/core/tests/unit_tests/fake/chat_model.py/0 | {
"file_path": "langchain/libs/core/tests/unit_tests/fake/chat_model.py",
"repo_id": "langchain",
"token_count": 5455
} | 405 |
import json
import logging
from typing import Any, List, Optional, Union
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.messages import (
AIMessage,
BaseMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
)
fr... | langchain/libs/community/langchain_community/llms/chatglm3.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/chatglm3.py",
"repo_id": "langchain",
"token_count": 2101
} | 285 |
# flake8: noqa
PREFIX = """Assistant is a large language model trained by OpenAI.
Assistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human... | langchain/libs/langchain/langchain/agents/conversational_chat/prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/conversational_chat/prompt.py",
"repo_id": "langchain",
"token_count": 668
} | 451 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.joplin import JoplinReader
def test_class():
names_of_base_classes = [b.__name__ for b in JoplinReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-joplin/tests/test_readers_joplin.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-joplin/tests/test_readers_joplin.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,417 |
# LlamaIndex Llms Integration: Llama Api
| llama_index/llama-index-integrations/llms/llama-index-llms-llama-api/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-llama-api/README.md",
"repo_id": "llama_index",
"token_count": 13
} | 1,312 |
<jupyter_start><jupyter_text>Cassandra Vector Store [Apache Cassandraยฎ](https://cassandra.apache.org) is a NoSQL, row-oriented, highly scalable and highly available database. Starting with version 5.0, the database ships with [vector search](https://cassandra.apache.org/doc/trunk/cassandra/vector-search/overview.html) ... | llama_index/docs/examples/vector_stores/CassandraIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/CassandraIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 4058
} | 1,081 |
<!--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 agree... | diffusers/docs/source/en/training/text_inversion.md/0 | {
"file_path": "diffusers/docs/source/en/training/text_inversion.md",
"repo_id": "diffusers",
"token_count": 4383
} | 192 |
from llama_index.core.llama_pack import BaseLlamaPack
from llama_index.packs.sub_question_weaviate import WeaviateSubQuestionPack
def test_class():
names_of_base_classes = [b.__name__ for b in WeaviateSubQuestionPack.__mro__]
assert BaseLlamaPack.__name__ in names_of_base_classes
| llama_index/llama-index-packs/llama-index-packs-sub-question-weaviate/tests/test_packs_sub_question_weaviate.py/0 | {
"file_path": "llama_index/llama-index-packs/llama-index-packs-sub-question-weaviate/tests/test_packs_sub_question_weaviate.py",
"repo_id": "llama_index",
"token_count": 104
} | 1,875 |
# 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/imagegpt/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/imagegpt/__init__.py",
"repo_id": "transformers",
"token_count": 1004
} | 647 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/ja/tf_xla.md/0 | {
"file_path": "transformers/docs/source/ja/tf_xla.md",
"repo_id": "transformers",
"token_count": 4383
} | 523 |
from typing import Any, Optional, Sequence
from langchain_core.documents import BaseDocumentTransformer, Document
from langchain_core.utils import get_from_env
class DoctranTextTranslator(BaseDocumentTransformer):
"""Translate text documents using doctran.
Arguments:
openai_api_key: OpenAI API key. ... | langchain/libs/community/langchain_community/document_transformers/doctran_text_translate.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_transformers/doctran_text_translate.py",
"repo_id": "langchain",
"token_count": 991
} | 266 |
// 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/mmap/Column.h/0 | {
"file_path": "milvus/internal/core/src/mmap/Column.h",
"repo_id": "milvus",
"token_count": 6589
} | 1,758 |
import { HuggingFaceTransformersEmbeddings } from "@langchain/community/embeddings/hf_transformers";
const model = new HuggingFaceTransformersEmbeddings({
modelName: "Xenova/all-MiniLM-L6-v2",
});
/* Embed queries */
const res = await model.embedQuery(
"What would be a good company name for a company that makes c... | langchainjs/examples/src/models/embeddings/hf_transformers.ts/0 | {
"file_path": "langchainjs/examples/src/models/embeddings/hf_transformers.ts",
"repo_id": "langchainjs",
"token_count": 146
} | 840 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/adapter.py/0 | {
"file_path": "diffusers/src/diffusers/models/adapter.py",
"repo_id": "diffusers",
"token_count": 10101
} | 229 |
<jupyter_start><jupyter_text>ElasticSearch BM25>[Elasticsearch](https://www.elastic.co/elasticsearch/) is a distributed, RESTful search and analytics engine. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.>In information retrieval, [Okapi... | langchain/docs/docs/integrations/retrievers/elastic_search_bm25.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/elastic_search_bm25.ipynb",
"repo_id": "langchain",
"token_count": 657
} | 160 |
from langchain_community.utilities.golden_query import (
GoldenQueryAPIWrapper,
)
__all__ = ["GoldenQueryAPIWrapper"]
| langchain/libs/langchain/langchain/utilities/golden_query.py/0 | {
"file_path": "langchain/libs/langchain/langchain/utilities/golden_query.py",
"repo_id": "langchain",
"token_count": 41
} | 571 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/agent/openai/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/agent/openai/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,728 |
# Copyright 2024 Katherine Crowson, The HuggingFace Team and hlky. 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
#
# ... | diffusers/src/diffusers/schedulers/scheduling_heun_discrete.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_heun_discrete.py",
"repo_id": "diffusers",
"token_count": 8979
} | 262 |
"""Verify that file system blob loader works as expected."""
import os
import tempfile
from pathlib import Path
from typing import Generator
import pytest
from langchain_community.document_loaders.blob_loaders import FileSystemBlobLoader
@pytest.fixture
def toy_dir() -> Generator[Path, None, None]:
"""Yield a p... | langchain/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_filesystem_blob_loader.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/document_loaders/blob_loaders/test_filesystem_blob_loader.py",
"repo_id": "langchain",
"token_count": 2148
} | 370 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/transformers/t5_film_transformer.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/t5_film_transformer.py",
"repo_id": "diffusers",
"token_count": 7147
} | 238 |
# Using the hub
Install the [`hf-hub`](https://github.com/huggingface/hf-hub) crate:
```bash
cargo add hf-hub
```
Then let's start by downloading the [model file](https://huggingface.co/bert-base-uncased/tree/main).
```rust
# extern crate candle_core;
# extern crate hf_hub;
use hf_hub::api::sync::Api;
use candle_c... | candle/candle-book/src/inference/hub.md/0 | {
"file_path": "candle/candle-book/src/inference/hub.md",
"repo_id": "candle",
"token_count": 1098
} | 23 |
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