text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
import logging
from threading import Thread
from typing import Any, Callable, Dict, List, Optional, Sequence, Union
import torch
from huggingface_hub import AsyncInferenceClient, InferenceClient, model_info
from huggingface_hub.hf_api import ModelInfo
from huggingface_hub.inference._types import ConversationalOutput
f... | llama_index/llama-index-integrations/llms/llama-index-llms-huggingface/llama_index/llms/huggingface/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/llms/llama-index-llms-huggingface/llama_index/llms/huggingface/base.py",
"repo_id": "llama_index",
"token_count": 9989
} | 1,353 |
<jupyter_start><jupyter_text>RAGatouilleThis page covers how to use [RAGatouille](https://github.com/bclavie/RAGatouille) as a retriever in a LangChain chain. RAGatouille makes it as simple as can be to use ColBERT! [ColBERT](https://github.com/stanford-futuredata/ColBERT) is a fast and accurate retrieval model, enabli... | langchain/docs/docs/integrations/retrievers/ragatouille.ipynb/0 | {
"file_path": "langchain/docs/docs/integrations/retrievers/ragatouille.ipynb",
"repo_id": "langchain",
"token_count": 1237
} | 166 |
<jupyter_start><jupyter_text>LLMRails Embeddings If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-embeddings-llm-rails
!pip install llama-index
# imports
from llama_index.embeddings.llm_rails import LLMRailsEmbedding
# get credentials and ... | llama_index/docs/examples/embeddings/llm_rails.ipynb/0 | {
"file_path": "llama_index/docs/examples/embeddings/llm_rails.ipynb",
"repo_id": "llama_index",
"token_count": 240
} | 1,115 |
import { ChatOpenAI } from "@langchain/openai";
import { BytesOutputParser } from "@langchain/core/output_parsers";
import { RunnableSequence } from "@langchain/core/runnables";
const chain = RunnableSequence.from([
new ChatOpenAI({ temperature: 0 }),
new BytesOutputParser(),
]);
const stream = await chain.stream... | langchainjs/examples/src/prompts/bytes_output_parser_sequence.ts/0 | {
"file_path": "langchainjs/examples/src/prompts/bytes_output_parser_sequence.ts",
"repo_id": "langchainjs",
"token_count": 157
} | 906 |
from langchain_core.pydantic_v1 import BaseModel
from langchain_core.runnables import RunnablePassthrough
from research_assistant.search.web import chain as search_chain
from research_assistant.writer import chain as writer_chain
chain_notypes = (
RunnablePassthrough().assign(research_summary=search_chain) | writ... | langchain/templates/research-assistant/research_assistant/chain.py/0 | {
"file_path": "langchain/templates/research-assistant/research_assistant/chain.py",
"repo_id": "langchain",
"token_count": 138
} | 678 |
# coding=utf-8
# Copyright 2021 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/xglm/test_modeling_flax_xglm.py/0 | {
"file_path": "transformers/tests/models/xglm/test_modeling_flax_xglm.py",
"repo_id": "transformers",
"token_count": 7114
} | 797 |
from typing import Any, Callable, Dict
class BaseModerationCallbackHandler:
def __init__(self) -> None:
if (
self._is_method_unchanged(
BaseModerationCallbackHandler.on_after_pii, self.on_after_pii
)
and self._is_method_unchanged(
BaseMod... | langchain/libs/experimental/langchain_experimental/comprehend_moderation/base_moderation_callbacks.py/0 | {
"file_path": "langchain/libs/experimental/langchain_experimental/comprehend_moderation/base_moderation_callbacks.py",
"repo_id": "langchain",
"token_count": 1001
} | 439 |
package dao
import (
"github.com/chroma/chroma-coordinator/internal/metastore/db/dbmodel"
"gorm.io/gorm"
)
type tenantDb struct {
db *gorm.DB
}
var _ dbmodel.ITenantDb = &tenantDb{}
func (s *tenantDb) DeleteAll() error {
return s.db.Where("1 = 1").Delete(&dbmodel.Tenant{}).Error
}
func (s *tenantDb) GetAllTena... | chroma/go/coordinator/internal/metastore/db/dao/tenant.go/0 | {
"file_path": "chroma/go/coordinator/internal/metastore/db/dao/tenant.go",
"repo_id": "chroma",
"token_count": 327
} | 51 |
# coding=utf-8
# Copyright 2022 Tsimur Hadeliya. 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... | transformers/tests/models/longformer/test_tokenization_longformer.py/0 | {
"file_path": "transformers/tests/models/longformer/test_tokenization_longformer.py",
"repo_id": "transformers",
"token_count": 7082
} | 793 |
python_tests()
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-metal/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-metal/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,524 |
from langchain_community.llms.azureml_endpoint import (
AzureMLEndpointClient,
AzureMLOnlineEndpoint,
ContentFormatterBase,
DollyContentFormatter,
GPT2ContentFormatter,
HFContentFormatter,
LlamaContentFormatter,
OSSContentFormatter,
)
__all__ = [
"AzureMLEndpointClient",
"Conten... | langchain/libs/langchain/langchain/llms/azureml_endpoint.py/0 | {
"file_path": "langchain/libs/langchain/langchain/llms/azureml_endpoint.py",
"repo_id": "langchain",
"token_count": 199
} | 508 |
# Knowledge Graphs
LlamaIndex contains some fantastic guides for building with knowledge graphs.
Check out the end-to-end tutorials/workshops below. Also check out our [knowledge graph query engine guides](/module_guides/deploying/query_engine/modules.md).
- LlamaIndex Workshop: Building RAG with Knowledge Graphs <h... | llama_index/docs/understanding/putting_it_all_together/graphs.md/0 | {
"file_path": "llama_index/docs/understanding/putting_it_all_together/graphs.md",
"repo_id": "llama_index",
"token_count": 173
} | 1,103 |
import type { BaseChatModelParams } from "@langchain/core/language_models/chat_models";
import {
type OpenAIClient,
type ChatOpenAICallOptions,
type OpenAIChatInput,
type OpenAICoreRequestOptions,
ChatOpenAI,
} from "@langchain/openai";
import { getEnvironmentVariable } from "@langchain/core/utils/env";
type... | langchainjs/libs/langchain-community/src/chat_models/togetherai.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/chat_models/togetherai.ts",
"repo_id": "langchainjs",
"token_count": 1518
} | 979 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/musicgen.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/musicgen.md",
"repo_id": "transformers",
"token_count": 3592
} | 512 |
"""Tool for the Arxiv API."""
from typing import Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_core.tools import BaseTool
from langchain_community.utilities.arxiv import ArxivAPIWrapper
class ArxivInput(BaseModel... | langchain/libs/community/langchain_community/tools/arxiv/tool.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/arxiv/tool.py",
"repo_id": "langchain",
"token_count": 445
} | 282 |
"""Guideline evaluation."""
import asyncio
import logging
from typing import Any, Optional, Sequence, Union, cast
from llama_index.core import ServiceContext
from llama_index.core.bridge.pydantic import BaseModel, Field
from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult
from llama_index.core.... | llama_index/llama-index-core/llama_index/core/evaluation/guideline.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/evaluation/guideline.py",
"repo_id": "llama_index",
"token_count": 1701
} | 1,185 |
<jupyter_start><jupyter_text>Configure chain internals at runtimeOftentimes you may want to experiment with, or even expose to the end user, multiple different ways of doing things.In order to make this experience as easy as possible, we have defined two methods.First, a `configurable_fields` method. This lets you conf... | langchain/docs/docs/expression_language/how_to/configure.ipynb/0 | {
"file_path": "langchain/docs/docs/expression_language/how_to/configure.ipynb",
"repo_id": "langchain",
"token_count": 2066
} | 87 |
# flake8: noqa
from langchain.chains.prompt_selector import ConditionalPromptSelector, is_chat_model
from langchain_core.prompts import PromptTemplate
from langchain_core.prompts.chat import (
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
prompt_template = """Use the follow... | langchain/libs/langchain/langchain/chains/question_answering/stuff_prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/question_answering/stuff_prompt.py",
"repo_id": "langchain",
"token_count": 353
} | 498 |
# 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/src/transformers/commands/pt_to_tf.py/0 | {
"file_path": "transformers/src/transformers/commands/pt_to_tf.py",
"repo_id": "transformers",
"token_count": 8900
} | 617 |
# coding=utf-8
# Copyright 2021 Google AI, Ross Wightman, 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/license... | transformers/src/transformers/models/vit/modeling_tf_vit.py/0 | {
"file_path": "transformers/src/transformers/models/vit/modeling_tf_vit.py",
"repo_id": "transformers",
"token_count": 15720
} | 685 |
[
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 50,
"logprob": null,
"text": "G"
},
{
"id": 330,
"logprob": -5.96875,
"text": "ir"
... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_load.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_falcon/test_flash_falcon_load.json",
"repo_id": "text-generation-inference",
"token_count": 21427
} | 383 |
# LoadAndSearch Tool
This Tool Spec is intended to wrap other tools, allowing the Agent to perform separate loading and reading of data. This is very useful for when tools return information larger than or closer to the size of the context window.
## Usage
Here's an example usage of the LoadAndSearchToolSpec.
```py... | llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/load_and_search/README.md/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/tools/tool_spec/load_and_search/README.md",
"repo_id": "llama_index",
"token_count": 333
} | 1,720 |
<jupyter_start><jupyter_text>Custom EmbeddingsLlamaIndex supports embeddings from OpenAI, Azure, and Langchain. But if this isn't enough, you can also implement any embeddings model!The example below uses Instructor Embeddings ([install/setup details here](https://huggingface.co/hkunlp/instructor-large)), and implement... | llama_index/docs/examples/embeddings/custom_embeddings.ipynb/0 | {
"file_path": "llama_index/docs/examples/embeddings/custom_embeddings.ipynb",
"repo_id": "llama_index",
"token_count": 1286
} | 1,180 |
from langchain_community.agent_toolkits.amadeus.toolkit import AmadeusToolkit
__all__ = ["AmadeusToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/amadeus/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/amadeus/toolkit.py",
"repo_id": "langchain",
"token_count": 38
} | 443 |
# 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
#
# Unless required by applicable law or... | peft/tests/test_initialization.py/0 | {
"file_path": "peft/tests/test_initialization.py",
"repo_id": "peft",
"token_count": 5405
} | 340 |
#!/usr/bin/env python
import argparse
import json
from typing import List
from ltp import LTP
from transformers import BertTokenizer
def _is_chinese_char(cp):
"""Checks whether CP is the codepoint of a CJK character."""
# This defines a "chinese character" as anything in the CJK Unicode block:
# https... | transformers/examples/legacy/run_chinese_ref.py/0 | {
"file_path": "transformers/examples/legacy/run_chinese_ref.py",
"repo_id": "transformers",
"token_count": 2389
} | 579 |
# coding=utf-8
# Copyright 2021 Microsoft Research 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/L... | transformers/src/transformers/models/beit/modeling_beit.py/0 | {
"file_path": "transformers/src/transformers/models/beit/modeling_beit.py",
"repo_id": "transformers",
"token_count": 25639
} | 567 |
import { FaissStore } from "@langchain/community/vectorstores/faiss";
import { OpenAIEmbeddings } from "@langchain/openai";
import { Document } from "@langchain/core/documents";
const vectorStore = new FaissStore(new OpenAIEmbeddings(), {});
const ids = ["2", "1", "4"];
const idsReturned = await vectorStore.addDocumen... | langchainjs/examples/src/indexes/vector_stores/faiss_delete.ts/0 | {
"file_path": "langchainjs/examples/src/indexes/vector_stores/faiss_delete.ts",
"repo_id": "langchainjs",
"token_count": 437
} | 784 |
# coding=utf-8
# Copyright 2021 Microsoft Research 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/LICEN... | transformers/src/transformers/models/layoutlmv2/modeling_layoutlmv2.py/0 | {
"file_path": "transformers/src/transformers/models/layoutlmv2/modeling_layoutlmv2.py",
"repo_id": "transformers",
"token_count": 26677
} | 620 |
package indexparamcheck
import (
"strconv"
"testing"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/pkg/util/metric"
)
func Test_ivfBaseChecker_CheckTrain(t *testing.T) {
validParams := map[string]string{
DIM: strconv.Itoa(128),
... | milvus/pkg/util/indexparamcheck/ivf_base_checker_test.go/0 | {
"file_path": "milvus/pkg/util/indexparamcheck/ivf_base_checker_test.go",
"repo_id": "milvus",
"token_count": 1447
} | 1,840 |
""" EfficientFormer
@article{li2022efficientformer,
title={EfficientFormer: Vision Transformers at MobileNet Speed},
author={Li, Yanyu and Yuan, Geng and Wen, Yang and Hu, Eric and Evangelidis, Georgios and Tulyakov,
Sergey and Wang, Yanzhi and Ren, Jian},
journal={arXiv preprint arXiv:2206.01191},
year={20... | pytorch-image-models/timm/models/efficientformer.py/0 | {
"file_path": "pytorch-image-models/timm/models/efficientformer.py",
"repo_id": "pytorch-image-models",
"token_count": 9481
} | 363 |
# `tokenizers-freebsd-x64`
This is the **x86_64-unknown-freebsd** binary for `tokenizers`
| tokenizers/bindings/node/npm/freebsd-x64/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/freebsd-x64/README.md",
"repo_id": "tokenizers",
"token_count": 36
} | 428 |
# LlamaIndex Agent Integration: Openai-Legacy
| llama_index/llama-index-integrations/agent/llama-index-agent-openai-legacy/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/agent/llama-index-agent-openai-legacy/README.md",
"repo_id": "llama_index",
"token_count": 13
} | 1,176 |
from langchain_community.vectorstores.vectara import Vectara, VectaraRetriever
__all__ = ["Vectara", "VectaraRetriever"]
| langchain/libs/langchain/langchain/vectorstores/vectara.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/vectara.py",
"repo_id": "langchain",
"token_count": 43
} | 587 |
import pytest
from langchain_core.memory import BaseMemory
from langchain.chains.conversation.memory import (
ConversationBufferMemory,
ConversationBufferWindowMemory,
ConversationSummaryMemory,
)
from langchain.memory import ReadOnlySharedMemory, SimpleMemory
from tests.unit_tests.llms.fake_llm import Fak... | langchain/libs/langchain/tests/unit_tests/chains/test_memory.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/chains/test_memory.py",
"repo_id": "langchain",
"token_count": 379
} | 604 |
# `tokenizers-linux-x64-gnu`
This is the **x86_64-unknown-linux-gnu** binary for `tokenizers`
| tokenizers/bindings/node/npm/linux-x64-gnu/README.md/0 | {
"file_path": "tokenizers/bindings/node/npm/linux-x64-gnu/README.md",
"repo_id": "tokenizers",
"token_count": 36
} | 429 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/models/deta/image_processing_deta.py/0 | {
"file_path": "transformers/src/transformers/models/deta/image_processing_deta.py",
"repo_id": "transformers",
"token_count": 22449
} | 675 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 4321,
"logprob": -9.7890625,
"text": "Test"
},
{
"id": 20... | text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_flash_llama_gptq/test_flash_llama_gptq.json",
"repo_id": "text-generation-inference",
"token_count": 1046
} | 420 |
# coding=utf-8
# Copyright 2018 The Microsoft Research Asia LayoutLM Team 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/license... | transformers/tests/models/layoutlm/test_modeling_tf_layoutlm.py/0 | {
"file_path": "transformers/tests/models/layoutlm/test_modeling_tf_layoutlm.py",
"repo_id": "transformers",
"token_count": 7442
} | 820 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | transformers/src/transformers/models/big_bird/__init__.py/0 | {
"file_path": "transformers/src/transformers/models/big_bird/__init__.py",
"repo_id": "transformers",
"token_count": 1883
} | 606 |
# Load audio data
You can load an audio dataset using the [`Audio`] feature that automatically decodes and resamples the audio files when you access the examples.
Audio decoding is based on the [`soundfile`](https://github.com/bastibe/python-soundfile) python package, which uses the [`libsndfile`](https://github.com/l... | datasets/docs/source/audio_load.mdx/0 | {
"file_path": "datasets/docs/source/audio_load.mdx",
"repo_id": "datasets",
"token_count": 1529
} | 109 |
import pytest
from text_generation_server.pb import generate_pb2
from text_generation_server.models.causal_lm import CausalLMBatch
from text_generation_server.models.santacoder import SantaCoder
@pytest.fixture(scope="session")
def default_santacoder():
return SantaCoder("bigcode/santacoder")
@pytest.fixture
d... | text-generation-inference/server/tests/models/test_santacoder.py/0 | {
"file_path": "text-generation-inference/server/tests/models/test_santacoder.py",
"repo_id": "text-generation-inference",
"token_count": 1306
} | 381 |
"""Test GooseAI API wrapper."""
from langchain_community.llms.gooseai import GooseAI
def test_gooseai_call() -> None:
"""Test valid call to gooseai."""
llm = GooseAI(max_tokens=10)
output = llm("Say foo:")
assert isinstance(output, str)
def test_gooseai_call_fairseq() -> None:
"""Test valid cal... | langchain/libs/community/tests/integration_tests/llms/test_gooseai.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_gooseai.py",
"repo_id": "langchain",
"token_count": 332
} | 356 |
package kafka
import (
"context"
"fmt"
"strconv"
"sync"
"time"
"github.com/cockroachdb/errors"
"github.com/confluentinc/confluent-kafka-go/kafka"
"go.uber.org/atomic"
"go.uber.org/zap"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg/metrics"
"github.com/milvus-io/milvus/pkg/mq/msgs... | milvus/pkg/mq/msgstream/mqwrapper/kafka/kafka_client.go/0 | {
"file_path": "milvus/pkg/mq/msgstream/mqwrapper/kafka/kafka_client.go",
"repo_id": "milvus",
"token_count": 3014
} | 1,920 |
# LlamaIndex Vector_Stores Integration: Tair
| llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/README.md/0 | {
"file_path": "llama_index/llama-index-integrations/vector_stores/llama-index-vector-stores-tair/README.md",
"repo_id": "llama_index",
"token_count": 13
} | 1,538 |
<script lang="ts">
import { base } from "$app/paths";
import { page } from "$app/stores";
import { createEventDispatcher } from "svelte";
import CarbonCheckmark from "~icons/carbon/checkmark";
import CarbonTrashCan from "~icons/carbon/trash-can";
import CarbonClose from "~icons/carbon/close";
import CarbonEdit ... | chat-ui/src/lib/components/NavConversationItem.svelte/0 | {
"file_path": "chat-ui/src/lib/components/NavConversationItem.svelte",
"repo_id": "chat-ui",
"token_count": 1309
} | 86 |
from llama_index.readers.zep.base import ZepReader
__all__ = ["ZepReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-zep/llama_index/readers/zep/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-zep/llama_index/readers/zep/__init__.py",
"repo_id": "llama_index",
"token_count": 29
} | 1,464 |
"""Document loader helpers."""
import concurrent.futures
from typing import List, NamedTuple, Optional, cast
class FileEncoding(NamedTuple):
"""File encoding as the NamedTuple."""
encoding: Optional[str]
"""The encoding of the file."""
confidence: float
"""The confidence of the encoding."""
... | langchain/libs/community/langchain_community/document_loaders/helpers.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/helpers.py",
"repo_id": "langchain",
"token_count": 573
} | 237 |
from langchain.prompts.loading import __all__
EXPECTED_ALL = [
"_load_examples",
"_load_few_shot_prompt",
"_load_output_parser",
"_load_prompt",
"_load_prompt_from_file",
"_load_template",
"load_prompt",
"load_prompt_from_config",
"try_load_from_hub",
]
def test_all_imports() -> N... | langchain/libs/langchain/tests/unit_tests/prompts/test_loading.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/prompts/test_loading.py",
"repo_id": "langchain",
"token_count": 163
} | 602 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { expect, test } from "@jest/globals";
import { BedrockRuntimeClient } from "@aws-sdk/client-bedrock-runtime";
import { HNSWLib } from "../../vectorstores/hnswlib.js";
import { BedrockEmbeddings } from "../bedrock.... | langchainjs/libs/langchain-community/src/embeddings/tests/bedrock.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/embeddings/tests/bedrock.int.test.ts",
"repo_id": "langchainjs",
"token_count": 957
} | 987 |
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/src/transformers/pipelines/image_to_text.py/0 | {
"file_path": "transformers/src/transformers/pipelines/image_to_text.py",
"repo_id": "transformers",
"token_count": 3389
} | 707 |
import json
import os
import warnings
from enum import Enum
from deprecated import deprecated
from typing import Any, Callable, Dict, List, Literal, Optional, Sequence
from llama_index.core.base.embeddings.base import BaseEmbedding, Embedding
from llama_index.core.base.llms.types import ChatMessage
from llama_index.co... | llama_index/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/llama_index/embeddings/bedrock/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/embeddings/llama-index-embeddings-bedrock/llama_index/embeddings/bedrock/base.py",
"repo_id": "llama_index",
"token_count": 6572
} | 1,268 |
import pytest
from langchain_community.document_loaders.confluence import ConfluenceLoader
try:
from atlassian import Confluence # noqa: F401
confluence_installed = True
except ImportError:
confluence_installed = False
@pytest.mark.skipif(not confluence_installed, reason="Atlassian package not install... | langchain/libs/community/tests/integration_tests/document_loaders/test_confluence.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/document_loaders/test_confluence.py",
"repo_id": "langchain",
"token_count": 662
} | 322 |
from rag_chroma_multi_modal.chain import chain
__all__ = ["chain"]
| langchain/templates/rag-chroma-multi-modal/rag_chroma_multi_modal/__init__.py/0 | {
"file_path": "langchain/templates/rag-chroma-multi-modal/rag_chroma_multi_modal/__init__.py",
"repo_id": "langchain",
"token_count": 24
} | 682 |
# CodeParrot 🦜
<p align="center">
<img src="https://huggingface.co/datasets/lvwerra/repo-images/raw/main/code-highlighting-streamlit.png" alt="drawing" width="350"/>
</p>
## What is this about?
This is an open-source effort to train and evaluate code generation models. CodeParrot 🦜 is a GPT-2 model trained from ... | transformers/examples/research_projects/codeparrot/README.md/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/README.md",
"repo_id": "transformers",
"token_count": 5019
} | 532 |
# coding=utf-8
# Copyright 2020, The T5 Authors and 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 ... | transformers/src/transformers/models/mt5/configuration_mt5.py/0 | {
"file_path": "transformers/src/transformers/models/mt5/configuration_mt5.py",
"repo_id": "transformers",
"token_count": 3273
} | 718 |
import json
from pathlib import Path
from langchain.schema import Document
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.chat_models import ChatOpenAI
from langchain_community.embeddings import OpenAIEmbeddings
from langchain_community.vectorstores import Chroma
from langc... | langchain/templates/rag-gpt-crawler/rag_gpt_crawler/chain.py/0 | {
"file_path": "langchain/templates/rag-gpt-crawler/rag_gpt_crawler/chain.py",
"repo_id": "langchain",
"token_count": 560
} | 693 |
from llama_index.readers.jira.base import JiraReader
__all__ = ["JiraReader"]
| llama_index/llama-index-integrations/readers/llama-index-readers-jira/llama_index/readers/jira/__init__.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-jira/llama_index/readers/jira/__init__.py",
"repo_id": "llama_index",
"token_count": 29
} | 1,338 |
const customCSS = `
::-webkit-scrollbar {
width: 10px;
}
::-webkit-scrollbar-track {
background: #27272a;
}
::-webkit-scrollbar-thumb {
background: #888;
border-radius: 0.375rem;
}
::-webkit-scrollbar-thumb:hover {
background: #555;
}
`;
const sty... | langgraph/examples/web-navigation/mark_page.js/0 | {
"file_path": "langgraph/examples/web-navigation/mark_page.js",
"repo_id": "langgraph",
"token_count": 2048
} | 991 |
FROM ubuntu:20.04
LABEL maintainer="Hugging Face"
LABEL repository="diffusers"
ENV DEBIAN_FRONTEND=noninteractive
RUN apt update && \
apt install -y bash \
build-essential \
git \
git-lfs \
curl \
ca-certificates \
... | diffusers/docker/diffusers-onnxruntime-cpu/Dockerfile/0 | {
"file_path": "diffusers/docker/diffusers-onnxruntime-cpu/Dockerfile",
"repo_id": "diffusers",
"token_count": 630
} | 172 |
#!/bin/bash
set -eu
# Initialize a variable to keep track of errors
errors=0
# make sure not importing from langchain or langchain_experimental
git --no-pager grep '^from langchain\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1))
# Decide on an exit status ... | langchain/libs/community/scripts/lint_imports.sh/0 | {
"file_path": "langchain/libs/community/scripts/lint_imports.sh",
"repo_id": "langchain",
"token_count": 134
} | 344 |
from typing import List
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import BaseMessage
class StreamlitChatMessageHistory(BaseChatMessageHistory):
"""
Chat message history that stores messages in Streamlit session state.
Args:
key: The key to use in... | langchain/libs/community/langchain_community/chat_message_histories/streamlit.py/0 | {
"file_path": "langchain/libs/community/langchain_community/chat_message_histories/streamlit.py",
"repo_id": "langchain",
"token_count": 442
} | 236 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and i... | diffusers/src/diffusers/pipelines/stable_diffusion_gligen/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_gligen/__init__.py",
"repo_id": "diffusers",
"token_count": 613
} | 245 |
import logging
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunk
from langchain_core.pydan... | langchain/libs/community/langchain_community/llms/huggingface_text_gen_inference.py/0 | {
"file_path": "langchain/libs/community/langchain_community/llms/huggingface_text_gen_inference.py",
"repo_id": "langchain",
"token_count": 5140
} | 264 |
import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pytest
from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex
from .utils import require_elasticsearch, require_... | datasets/tests/test_search.py/0 | {
"file_path": "datasets/tests/test_search.py",
"repo_id": "datasets",
"token_count": 4372
} | 150 |
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | accelerate/src/accelerate/utils/versions.py/0 | {
"file_path": "accelerate/src/accelerate/utils/versions.py",
"repo_id": "accelerate",
"token_count": 701
} | 18 |
import {
ObjectId,
Collection,
Document as MongoDBDocument,
MongoClient,
Db,
} from "mongodb";
import type { EmbeddingsInterface } from "@langchain/core/embeddings";
import {
MaxMarginalRelevanceSearchOptions,
VectorStore,
} from "@langchain/core/vectorstores";
import { Document } from "@langchain/core/do... | langchainjs/libs/langchain-community/src/vectorstores/azure_cosmosdb.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/vectorstores/azure_cosmosdb.ts",
"repo_id": "langchainjs",
"token_count": 4585
} | 991 |
# RLHF pipeline for the creation of StackLLaMa: a Stack exchange llama-7b model.
There were three main steps to the training process:
1. Supervised fine-tuning of the base llama-7b model to create llama-7b-se:
- `torchrun --nnodes 1 --nproc_per_node 8 examples/research_projects/stack_llama/scripts/supervised_finet... | trl/examples/research_projects/stack_llama/scripts/README.md/0 | {
"file_path": "trl/examples/research_projects/stack_llama/scripts/README.md",
"repo_id": "trl",
"token_count": 696
} | 781 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/L... | transformers/src/transformers/tools/python_interpreter.py/0 | {
"file_path": "transformers/src/transformers/tools/python_interpreter.py",
"repo_id": "transformers",
"token_count": 3737
} | 713 |
python_tests()
| llama_index/llama-index-integrations/readers/llama-index-readers-guru/tests/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-guru/tests/BUILD",
"repo_id": "llama_index",
"token_count": 5
} | 1,309 |
/* eslint-disable no-promise-executor-return */
import { test, expect } from "@jest/globals";
import { createClient } from "redis";
import { HumanMessage, AIMessage } from "@langchain/core/messages";
import { RedisChatMessageHistory } from "../chat_histories.js";
afterAll(async () => {
const client = createClient()... | langchainjs/libs/langchain-redis/src/tests/chat_histories.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-redis/src/tests/chat_histories.int.test.ts",
"repo_id": "langchainjs",
"token_count": 794
} | 1,011 |
import jsonpointer from "jsonpointer";
import { TextLoader } from "./text.js";
/**
* Class that extends the `TextLoader` class. It represents a document
* loader that loads documents from JSON files. It has a constructor that
* takes a `filePathOrBlob` parameter representing the path to the JSON
* file or a `Blob`... | langchainjs/langchain/src/document_loaders/fs/json.ts/0 | {
"file_path": "langchainjs/langchain/src/document_loaders/fs/json.ts",
"repo_id": "langchainjs",
"token_count": 2034
} | 938 |
# 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 applicabl... | transformers/tests/models/umt5/test_modeling_umt5.py/0 | {
"file_path": "transformers/tests/models/umt5/test_modeling_umt5.py",
"repo_id": "transformers",
"token_count": 15614
} | 791 |
import { ChatOpenAI } from "@langchain/openai";
import { PromptTemplate } from "@langchain/core/prompts";
import { RunnableSequence } from "@langchain/core/runnables";
import { StringOutputParser } from "@langchain/core/output_parsers";
const model = new ChatOpenAI({});
const promptTemplate = PromptTemplate.fromTempla... | langchainjs/examples/src/guides/expression_language/cookbook_output_parser.ts/0 | {
"file_path": "langchainjs/examples/src/guides/expression_language/cookbook_output_parser.ts",
"repo_id": "langchainjs",
"token_count": 189
} | 839 |
from typing import Any, Union
from langchain.evaluation.schema import StringEvaluator
from langchain.output_parsers.json import parse_json_markdown
class JsonSchemaEvaluator(StringEvaluator):
"""An evaluator that validates a JSON prediction against a JSON schema reference.
This evaluator checks if a given J... | langchain/libs/langchain/langchain/evaluation/parsing/json_schema.py/0 | {
"file_path": "langchain/libs/langchain/langchain/evaluation/parsing/json_schema.py",
"repo_id": "langchain",
"token_count": 1363
} | 507 |
package grpcutils
import (
"crypto/tls"
"crypto/x509"
"io"
"net"
"os"
"github.com/pingcap/log"
"go.uber.org/zap"
"google.golang.org/grpc"
"google.golang.org/grpc/credentials"
)
const (
maxGrpcFrameSize = 256 * 1024 * 1024
ReadinessProbeService = "chroma-readiness"
)
type GrpcServer interface {
io.Close... | chroma/go/coordinator/internal/grpccoordinator/grpcutils/service.go/0 | {
"file_path": "chroma/go/coordinator/internal/grpccoordinator/grpcutils/service.go",
"repo_id": "chroma",
"token_count": 870
} | 43 |
# flake8: noqa
from langchain_core.prompts import PromptTemplate
prompt_template = """Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer.
{context}
Question: {question}
Helpful Answer:"""
PROMPT = PromptTem... | langchain/libs/langchain/langchain/chains/retrieval_qa/prompt.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/retrieval_qa/prompt.py",
"repo_id": "langchain",
"token_count": 118
} | 474 |
import { NextRequest, NextResponse } from "next/server";
import { Message as VercelChatMessage, StreamingTextResponse } from "ai";
import { AgentExecutor, createOpenAIFunctionsAgent } from "langchain/agents";
import { ChatOpenAI } from "@langchain/openai";
import { SerpAPI } from "@langchain/community/tools/serpapi";
... | langchain-nextjs-template/app/api/chat/agents/route.ts/0 | {
"file_path": "langchain-nextjs-template/app/api/chat/agents/route.ts",
"repo_id": "langchain-nextjs-template",
"token_count": 1923
} | 68 |
from llama_index.finetuning.openai import OpenAIFinetuneEngine
from llama_index.finetuning.types import BaseLLMFinetuneEngine
def test_class():
names_of_base_classes = [b.__name__ for b in OpenAIFinetuneEngine.__mro__]
assert BaseLLMFinetuneEngine.__name__ in names_of_base_classes
| llama_index/llama-index-finetuning/tests/openai/test_openai_classes.py/0 | {
"file_path": "llama_index/llama-index-finetuning/tests/openai/test_openai_classes.py",
"repo_id": "llama_index",
"token_count": 104
} | 1,223 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/internal/querynodev2/delegator/delegator_data.go/0 | {
"file_path": "milvus/internal/querynodev2/delegator/delegator_data.go",
"repo_id": "milvus",
"token_count": 11145
} | 1,847 |
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/peft_integration/test_peft_integration.py/0 | {
"file_path": "transformers/tests/peft_integration/test_peft_integration.py",
"repo_id": "transformers",
"token_count": 10392
} | 798 |
#include "compat.cuh"
__forceinline__ __device__ half2 dot22_8(half2(&dq)[4], const half* a_ptr, const half2 g_result, const half qs_h)
{
half2 result = {};
const half2* a2_ptr = (const half2*)a_ptr;
#pragma unroll
for (int i = 0; i < 4; i++) result = __hfma2(dq[i], *a2_ptr++, result);
return __hfm... | text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel.cuh/0 | {
"file_path": "text-generation-inference/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel.cuh",
"repo_id": "text-generation-inference",
"token_count": 11459
} | 391 |
# Diffusion for Audio
<CourseFloatingBanner unit={4}
classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Diffusion for Audio", value: "https://colab.research.google.com/github/huggingface/diffusion-models-class/blob/main/units/en/unit4/diffusion_for_audio.ipynb"},
{label: "Diffusion for Audio", ... | diffusion-models-class/units/en/unit4/3.mdx/0 | {
"file_path": "diffusion-models-class/units/en/unit4/3.mdx",
"repo_id": "diffusion-models-class",
"token_count": 4647
} | 295 |
# EditorConfig helps developers define and maintain consistent
# coding styles between different editors or IDEs
# http://editorconfig.org
root = true
[*]
indent_style = space
indent_size = 2
end_of_line = lf
charset = utf-8
trim_trailing_whitespace = true
insert_final_newline = true
[*.md]
trim_trailing_whitespace =... | tokenizers/bindings/node/.editorconfig/0 | {
"file_path": "tokenizers/bindings/node/.editorconfig",
"repo_id": "tokenizers",
"token_count": 108
} | 391 |
# coding=utf-8
# Copyright 2021 The I-BERT Authors (Sehoon Kim, Amir Gholami, Zhewei Yao,
# Michael Mahoney, Kurt Keutzer - UC Berkeley) and The HuggingFace Inc. team.
# Copyright (c) 20121, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use t... | transformers/src/transformers/models/ibert/configuration_ibert.py/0 | {
"file_path": "transformers/src/transformers/models/ibert/configuration_ibert.py",
"repo_id": "transformers",
"token_count": 2900
} | 675 |
from langchain_community.callbacks.clearml_callback import (
ClearMLCallbackHandler,
)
__all__ = ["ClearMLCallbackHandler"]
| langchain/libs/langchain/langchain/callbacks/clearml_callback.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/clearml_callback.py",
"repo_id": "langchain",
"token_count": 44
} | 451 |
# 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/stable_diffusion_2/test_stable_diffusion_v_pred.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_v_pred.py",
"repo_id": "diffusers",
"token_count": 10152
} | 285 |
<jupyter_start><jupyter_text>Deep Lake Vector Store Quickstart Deep Lake can be installed using pip.<jupyter_code>%pip install llama-index-vector-stores-deeplake
!pip install llama-index
!pip install deeplake<jupyter_output><empty_output><jupyter_text>Next, let's import the required modules and set the needed environme... | llama_index/docs/examples/vector_stores/DeepLakeIndexDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/vector_stores/DeepLakeIndexDemo.ipynb",
"repo_id": "llama_index",
"token_count": 1157
} | 1,134 |
python_sources()
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/indices/query/query_transform/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/indices/query/query_transform/BUILD",
"repo_id": "llama_index",
"token_count": 32
} | 1,620 |
from dataclasses import dataclass, field
from typing import Optional
@dataclass
class TrainingArguments:
"""
Configuration for training model.
"""
model_ckpt: Optional[str] = field(
default="codeparrot/codeparrot", metadata={"help": "Model name or path of model to be trained."}
)
save... | transformers/examples/research_projects/codeparrot/scripts/arguments.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/scripts/arguments.py",
"repo_id": "transformers",
"token_count": 3556
} | 558 |
# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | transformers/tests/utils/test_cli.py/0 | {
"file_path": "transformers/tests/utils/test_cli.py",
"repo_id": "transformers",
"token_count": 1489
} | 851 |
from __future__ import annotations
import logging
import time
from typing import Any, Dict, Optional
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import root_validator
from langchain_core.tools import BaseTool
from langchain_core.utils import get_from_dict_or_env
fro... | langchain/libs/community/langchain_community/tools/azure_cognitive_services/speech2text.py/0 | {
"file_path": "langchain/libs/community/langchain_community/tools/azure_cognitive_services/speech2text.py",
"repo_id": "langchain",
"token_count": 1790
} | 293 |
from llama_index.legacy.llm_predictor.base import BaseLLMPredictor, LLMPredictor
from llama_index.legacy.llm_predictor.mock import MockLLMPredictor
from llama_index.legacy.llm_predictor.structured import StructuredLLMPredictor
from llama_index.legacy.llm_predictor.vellum.predictor import VellumPredictor
def load_pred... | llama_index/llama-index-legacy/llama_index/legacy/llm_predictor/loading.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llm_predictor/loading.py",
"repo_id": "llama_index",
"token_count": 416
} | 1,729 |
[project]
name = 'tokenizers'
requires-python = '>=3.7'
authors = [
{name = 'Nicolas Patry', email = 'patry.nicolas@protonmail.com'},
{name = 'Anthony Moi', email = 'anthony@huggingface.co'}
]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audie... | tokenizers/bindings/python/pyproject.toml/0 | {
"file_path": "tokenizers/bindings/python/pyproject.toml",
"repo_id": "tokenizers",
"token_count": 554
} | 405 |
/* eslint-disable no-process-env */
/* eslint-disable @typescript-eslint/no-non-null-assertion */
import { test } from "@jest/globals";
import { AmazonKnowledgeBaseRetriever } from "../amazon_knowledge_base.js";
test.skip("AmazonKnowledgeBaseRetriever", async () => {
const retriever = new AmazonKnowledgeBaseRetrieve... | langchainjs/libs/langchain-community/src/retrievers/tests/amazon_knowledge_base.int.test.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/retrievers/tests/amazon_knowledge_base.int.test.ts",
"repo_id": "langchainjs",
"token_count": 315
} | 963 |
import { NextRequest, NextResponse } from "next/server";
import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
import { createClient } from "@supabase/supabase-js";
import { SupabaseVectorStore } from "langchain/vectorstores/supabase";
import { OpenAIEmbeddings } from "langchain/embeddings/openai";... | langchain-nextjs-template/app/api/retrieval/ingest/route.ts/0 | {
"file_path": "langchain-nextjs-template/app/api/retrieval/ingest/route.ts",
"repo_id": "langchain-nextjs-template",
"token_count": 708
} | 64 |
import uuid
from typing import Any, Callable
from chromadb.types import Segment
from overrides import override
from typing import Dict, Optional
from abc import ABC, abstractmethod
class SegmentCache(ABC):
@abstractmethod
def get(self, key: uuid.UUID) -> Optional[Segment]:
pass
@abstractmethod
... | chroma/chromadb/segment/impl/manager/cache/cache.py/0 | {
"file_path": "chroma/chromadb/segment/impl/manager/cache/cache.py",
"repo_id": "chroma",
"token_count": 1332
} | 16 |
# Structured Data
# A Guide to LlamaIndex + Structured Data
A lot of modern data systems depend on structured data, such as a Postgres DB or a Snowflake data warehouse.
LlamaIndex provides a lot of advanced features, powered by LLM's, to both create structured data from
unstructured data, as well as analyze this stru... | llama_index/docs/understanding/putting_it_all_together/structured_data.md/0 | {
"file_path": "llama_index/docs/understanding/putting_it_all_together/structured_data.md",
"repo_id": "llama_index",
"token_count": 1749
} | 1,153 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/src/transformers/models/efficientformer/convert_efficientformer_original_pytorch_checkpoint_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/models/efficientformer/convert_efficientformer_original_pytorch_checkpoint_to_pytorch.py",
"repo_id": "transformers",
"token_count": 4066
} | 611 |
<!--Copyright 2023 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/xlm-v.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xlm-v.md",
"repo_id": "transformers",
"token_count": 809
} | 507 |
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