text stringlengths 3 1.68M | id stringlengths 13 169 | metadata dict | __index_level_0__ int64 0 2.21k |
|---|---|---|---|
package model
import "github.com/chroma/chroma-coordinator/internal/types"
type Database struct {
ID string
Name string
Tenant string
Ts types.Timestamp
}
type CreateDatabase struct {
ID string
Name string
Tenant string
Ts types.Timestamp
}
type GetDatabase struct {
ID string
Name ... | chroma/go/coordinator/internal/model/database.go/0 | {
"file_path": "chroma/go/coordinator/internal/model/database.go",
"repo_id": "chroma",
"token_count": 140
} | 49 |
#!/usr/bin/env bash
set -e
# Assert first argument is present
if [ -z "$1" ]; then
echo "Usage: bin/test-remote <remote-host>"
exit 1
fi
export CHROMA_INTEGRATION_TEST_ONLY=1
export CHROMA_SERVER_HOST=$1
export CHROMA_API_IMPL=chromadb.api.fastapi.FastAPI
export CHROMA_SERVER_HTTP_PORT=8000
python -m pytest... | chroma/bin/test-remote/0 | {
"file_path": "chroma/bin/test-remote",
"repo_id": "chroma",
"token_count": 134
} | 11 |
python_sources()
| llama_index/llama-index-legacy/llama_index/legacy/readers/weaviate/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/readers/weaviate/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,535 |
<jupyter_start><jupyter_text>StreamingOften in Q&A applications it's important to show users the sources that were used to generate the answer. The simplest way to do this is for the chain to return the Documents that were retrieved in each generation.We'll work off of the Q&A app with sources we built over the [LLM Po... | langchainjs/docs/core_docs/docs/use_cases/question_answering/streaming.ipynb/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/question_answering/streaming.ipynb",
"repo_id": "langchainjs",
"token_count": 2092
} | 769 |
# 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/manim_animations/big_model_inference/stage_1.py/0 | {
"file_path": "accelerate/manim_animations/big_model_inference/stage_1.py",
"repo_id": "accelerate",
"token_count": 1904
} | 8 |
from .module import Module
from typing import Optional, Tuple, Any
from candle import Tensor
import candle
class Embedding(Module):
"""A simple lookup table that stores embeddings of a fixed dictionary and size.
This module is often used to store word embeddings and retrieve them using indices.
The input... | candle/candle-pyo3/py_src/candle/nn/sparse.py/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/nn/sparse.py",
"repo_id": "candle",
"token_count": 590
} | 68 |
from self_query_qdrant.chain import chain
__all__ = ["chain"]
| langchain/templates/self-query-qdrant/self_query_qdrant/__init__.py/0 | {
"file_path": "langchain/templates/self-query-qdrant/self_query_qdrant/__init__.py",
"repo_id": "langchain",
"token_count": 22
} | 681 |
<jupyter_start><jupyter_text>ClientDemo of client interacting with the simple chain server, which deploys a chain that tells jokes about a particular topic. You can interact with this via API directly<jupyter_code>import requests
inputs = {"input": {"topic": "sports"}}
response = requests.post("http://localhost:8000/c... | langserve/examples/configurable_chain/client.ipynb/0 | {
"file_path": "langserve/examples/configurable_chain/client.ipynb",
"repo_id": "langserve",
"token_count": 1457
} | 1,040 |
---
sidebar_class_name: hidden
---
# Bytes output parser
The `BytesOutputParser` takes language model output (either an entire response or as a stream) and converts
it into binary data. This is particularly useful for streaming output to the frontend from a server.
This output parser can act as a transform stream an... | langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/bytes.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/output_parsers/types/bytes.mdx",
"repo_id": "langchainjs",
"token_count": 208
} | 763 |
pub(crate) mod cache;
#[cfg(feature = "http")]
pub(crate) mod from_pretrained;
#[cfg(feature = "unstable_wasm")]
mod fancy;
#[cfg(feature = "unstable_wasm")]
pub use fancy::SysRegex;
#[cfg(not(feature = "unstable_wasm"))]
mod onig;
#[cfg(not(feature = "unstable_wasm"))]
pub use crate::utils::onig::SysRegex;
pub mod i... | tokenizers/tokenizers/src/utils/mod.rs/0 | {
"file_path": "tokenizers/tokenizers/src/utils/mod.rs",
"repo_id": "tokenizers",
"token_count": 3092
} | 482 |
use super::{Metadata, MetadataValueConversionError};
use crate::{
chroma_proto,
errors::{ChromaError, ErrorCodes},
};
use thiserror::Error;
use uuid::Uuid;
#[derive(Debug, PartialEq)]
pub(crate) struct Collection {
pub(crate) id: Uuid,
pub(crate) name: String,
pub(crate) topic: String,
pub(crat... | chroma/rust/worker/src/types/collection.rs/0 | {
"file_path": "chroma/rust/worker/src/types/collection.rs",
"repo_id": "chroma",
"token_count": 1286
} | 63 |
# Copyright 2020 The HuggingFace Datasets Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | datasets/metrics/meteor/meteor.py/0 | {
"file_path": "datasets/metrics/meteor/meteor.py",
"repo_id": "datasets",
"token_count": 1898
} | 122 |
<jupyter_start><jupyter_text>Vector SQL Retriever with MyScale>[MyScale](https://docs.myscale.com/en/) is an integrated vector database. You can access your database in SQL and also from here, LangChain. MyScale can make a use of [various data types and functions for filters](https://blog.myscale.com/2023/06/06/why-int... | langchain/cookbook/myscale_vector_sql.ipynb/0 | {
"file_path": "langchain/cookbook/myscale_vector_sql.ipynb",
"repo_id": "langchain",
"token_count": 1520
} | 74 |
from langchain_community.embeddings.vertexai import VertexAIEmbeddings
__all__ = ["VertexAIEmbeddings"]
| langchain/libs/langchain/langchain/embeddings/vertexai.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/vertexai.py",
"repo_id": "langchain",
"token_count": 37
} | 501 |
<!--Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | transformers/docs/source/en/model_doc/byt5.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/byt5.md",
"repo_id": "transformers",
"token_count": 2292
} | 458 |
package proxy
import (
"context"
"fmt"
"plugin"
"strconv"
"strings"
"github.com/cockroachdb/errors"
"go.uber.org/zap"
"google.golang.org/grpc"
"github.com/milvus-io/milvus-proto/go-api/v2/hook"
"github.com/milvus-io/milvus/pkg/config"
"github.com/milvus-io/milvus/pkg/log"
"github.com/milvus-io/milvus/pkg... | milvus/internal/proxy/hook_interceptor.go/0 | {
"file_path": "milvus/internal/proxy/hook_interceptor.go",
"repo_id": "milvus",
"token_count": 1919
} | 1,826 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/training/unconditional_training.md/0 | {
"file_path": "diffusers/docs/source/ko/training/unconditional_training.md",
"repo_id": "diffusers",
"token_count": 3095
} | 195 |
#include <cstdint>
#include <cassert>
#include <boost/filesystem.hpp>
#include <iostream>
#include "tantivy-binding.h"
#include "tantivy-wrapper.h"
using namespace milvus::tantivy;
template <typename T>
void
run() {
std::cout << "run " << typeid(T).name() << std::endl;
auto path = "/tmp/inverted-index/test-... | milvus/internal/core/thirdparty/tantivy/test.cpp/0 | {
"file_path": "milvus/internal/core/thirdparty/tantivy/test.cpp",
"repo_id": "milvus",
"token_count": 1676
} | 1,753 |
# Generated content DO NOT EDIT
from .. import onnx
ONNXModel = onnx.ONNXModel
ONNXTensorDescription = onnx.ONNXTensorDescription
| candle/candle-pyo3/py_src/candle/onnx/__init__.py/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/onnx/__init__.py",
"repo_id": "candle",
"token_count": 46
} | 68 |
python_sources()
| llama_index/llama-index-integrations/readers/llama-index-readers-mongodb/llama_index/readers/mongodb/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-mongodb/llama_index/readers/mongodb/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,344 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | transformers/tests/models/realm/test_retrieval_realm.py/0 | {
"file_path": "transformers/tests/models/realm/test_retrieval_realm.py",
"repo_id": "transformers",
"token_count": 3280
} | 834 |
## Tests
### E2E Test
#### Configuration Requirements
##### Operating System
| Operating System | Version |
| ---------------- | -------------- |
| Amazon Linux | 2023 or above |
| Ubuntu | 20.04 or above |
| Mac | 10.14 or above |
##### Hardware
| Hardware Type | Recommended Co... | milvus/tests/README.md/0 | {
"file_path": "milvus/tests/README.md",
"repo_id": "milvus",
"token_count": 1142
} | 2,130 |
from langchain_community.vectorstores.momento_vector_index import (
MomentoVectorIndex,
)
__all__ = ["MomentoVectorIndex"]
| langchain/libs/langchain/langchain/vectorstores/momento_vector_index.py/0 | {
"file_path": "langchain/libs/langchain/langchain/vectorstores/momento_vector_index.py",
"repo_id": "langchain",
"token_count": 41
} | 604 |
// Code generated by mockery v2.32.4. DO NOT EDIT.
package syncmgr
import (
msgpb "github.com/milvus-io/milvus-proto/go-api/v2/msgpb"
mock "github.com/stretchr/testify/mock"
)
// MockTask is an autogenerated mock type for the Task type
type MockTask struct {
mock.Mock
}
type MockTask_Expecter struct {
mock *moc... | milvus/internal/datanode/syncmgr/mock_task.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/mock_task.go",
"repo_id": "milvus",
"token_count": 2918
} | 1,781 |
python_sources()
poetry_requirements(
name="poetry",
)
| llama_index/llama-index-cli/BUILD/0 | {
"file_path": "llama_index/llama-index-cli/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,238 |
from typing import Any
from llama_index.core.callbacks.base_handler import BaseCallbackHandler
from deepeval.tracing.integrations.llama_index import LlamaIndexCallbackHandler
def deepeval_callback_handler(**eval_params: Any) -> BaseCallbackHandler:
return LlamaIndexCallbackHandler(**eval_params)
| llama_index/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/llama_index/callbacks/deepeval/base.py/0 | {
"file_path": "llama_index/llama-index-integrations/callbacks/llama-index-callbacks-deepeval/llama_index/callbacks/deepeval/base.py",
"repo_id": "llama_index",
"token_count": 89
} | 1,182 |
"""Fake Embedding class for testing purposes."""
import math
from typing import List
from langchain_core.embeddings import Embeddings
fake_texts = ["foo", "bar", "baz"]
class FakeEmbeddings(Embeddings):
"""Fake embeddings functionality for testing."""
def embed_documents(self, texts: List[str]) -> List[Lis... | langchain/libs/community/tests/integration_tests/vectorstores/fake_embeddings.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/vectorstores/fake_embeddings.py",
"repo_id": "langchain",
"token_count": 1178
} | 380 |
<jupyter_start><jupyter_text>Speed Comparison `Safetensors` is really fast. Let's compare it against `PyTorch` by loading [gpt2](https://huggingface.co/gpt2) weights. To run the [GPU benchmark](gpu-benchmark), make sure your machine has GPU or you have selected `GPU runtime` if you are using Google Colab.Before you beg... | notebooks/safetensors_doc/en/speed.ipynb/0 | {
"file_path": "notebooks/safetensors_doc/en/speed.ipynb",
"repo_id": "notebooks",
"token_count": 893
} | 307 |
// 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/util/importutil/numpy_parser_test.go/0 | {
"file_path": "milvus/internal/util/importutil/numpy_parser_test.go",
"repo_id": "milvus",
"token_count": 15271
} | 1,900 |
from langchain_community.callbacks import __all__
EXPECTED_ALL = [
"AimCallbackHandler",
"ArgillaCallbackHandler",
"ArizeCallbackHandler",
"PromptLayerCallbackHandler",
"ArthurCallbackHandler",
"ClearMLCallbackHandler",
"CometCallbackHandler",
"ContextCallbackHandler",
"HumanApprova... | langchain/libs/community/tests/unit_tests/callbacks/test_imports.py/0 | {
"file_path": "langchain/libs/community/tests/unit_tests/callbacks/test_imports.py",
"repo_id": "langchain",
"token_count": 304
} | 390 |
"""Storage classes."""
from llama_index.core.storage.storage_context import StorageContext
__all__ = [
"StorageContext",
]
| llama_index/llama-index-core/llama_index/core/storage/__init__.py/0 | {
"file_path": "llama_index/llama-index-core/llama_index/core/storage/__init__.py",
"repo_id": "llama_index",
"token_count": 41
} | 1,219 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/en/optimization/fp16.md/0 | {
"file_path": "diffusers/docs/source/en/optimization/fp16.md",
"repo_id": "diffusers",
"token_count": 942
} | 167 |
// Licensed to the LF AI & Data foundation under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use th... | milvus/pkg/util/typeutil/hash.go/0 | {
"file_path": "milvus/pkg/util/typeutil/hash.go",
"repo_id": "milvus",
"token_count": 1660
} | 2,123 |
from langchain_core.tracers.langchain_v1 import LangChainTracerV1
__all__ = ["LangChainTracerV1"]
| langchain/libs/langchain/langchain/callbacks/tracers/langchain_v1.py/0 | {
"file_path": "langchain/libs/langchain/langchain/callbacks/tracers/langchain_v1.py",
"repo_id": "langchain",
"token_count": 37
} | 496 |
# Copyright 2022 The HuggingFace Datasets Authors and the current metric script contributor.
#
# 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... | datasets/metrics/frugalscore/frugalscore.py/0 | {
"file_path": "datasets/metrics/frugalscore/frugalscore.py",
"repo_id": "datasets",
"token_count": 1754
} | 129 |
import logging
import os
import time
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Type, Union
import openai
from deprecated import deprecated
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionMessageToolCall
from openai.types.chat.chat_completion_chunk import ChoiceDel... | llama_index/llama-index-legacy/llama_index/legacy/llms/openai_utils.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/llms/openai_utils.py",
"repo_id": "llama_index",
"token_count": 5027
} | 1,588 |
package tasks
import (
"fmt"
"testing"
"time"
"github.com/stretchr/testify/assert"
)
func TestMergeTaskQueue(t *testing.T) {
q := newMergeTaskQueue("test_user")
assert.Equal(t, 0, q.len())
assert.Nil(t, q.front())
q.pop()
assert.Nil(t, q.front())
assert.Equal(t, 0, q.len())
assert.False(t, q.expire(5*time... | milvus/internal/querynodev2/tasks/queues_test.go/0 | {
"file_path": "milvus/internal/querynodev2/tasks/queues_test.go",
"repo_id": "milvus",
"token_count": 1864
} | 1,774 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.txtai import TxtaiReader
def test_class():
names_of_base_classes = [b.__name__ for b in TxtaiReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-txtai/tests/test_readers_txtai.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-txtai/tests/test_readers_txtai.py",
"repo_id": "llama_index",
"token_count": 90
} | 1,390 |
"""LangChain **Runnable** and the **LangChain Expression Language (LCEL)**.
The LangChain Expression Language (LCEL) offers a declarative method to build
production-grade programs that harness the power of LLMs.
Programs created using LCEL and LangChain Runnables inherently support
synchronous, asynchronous, batch, a... | langchain/libs/langchain/langchain/schema/runnable/__init__.py/0 | {
"file_path": "langchain/libs/langchain/langchain/schema/runnable/__init__.py",
"repo_id": "langchain",
"token_count": 593
} | 567 |
<jupyter_start><jupyter_text>MyScale Reader If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.<jupyter_code>%pip install llama-index-readers-myscale
!pip install llama-index
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().... | llama_index/docs/examples/data_connectors/MyScaleReaderDemo.ipynb/0 | {
"file_path": "llama_index/docs/examples/data_connectors/MyScaleReaderDemo.ipynb",
"repo_id": "llama_index",
"token_count": 333
} | 1,053 |
""" Global Context Attention Block
Paper: `GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond`
- https://arxiv.org/abs/1904.11492
Official code consulted as reference: https://github.com/xvjiarui/GCNet
Hacked together by / Copyright 2021 Ross Wightman
"""
from torch import nn as nn
import torc... | pytorch-image-models/timm/layers/global_context.py/0 | {
"file_path": "pytorch-image-models/timm/layers/global_context.py",
"repo_id": "pytorch-image-models",
"token_count": 1169
} | 367 |
{ "graph_dict": {} }
| llama_index/llama-index-legacy/storage/graph_store.json/0 | {
"file_path": "llama_index/llama-index-legacy/storage/graph_store.json",
"repo_id": "llama_index",
"token_count": 9
} | 1,528 |
local base = import 'templates/base.libsonnet';
local tpus = import 'templates/tpus.libsonnet';
local utils = import "templates/utils.libsonnet";
local volumes = import "templates/volumes.libsonnet";
local bertBaseCased = base.BaseTest {
frameworkPrefix: "hf",
modelName: "bert-base-cased",
mode: "example",
con... | transformers/docker/transformers-pytorch-tpu/bert-base-cased.jsonnet/0 | {
"file_path": "transformers/docker/transformers-pytorch-tpu/bert-base-cased.jsonnet",
"repo_id": "transformers",
"token_count": 371
} | 462 |
---
sidebar_label: PromptLayer OpenAI
---
# PromptLayerChatOpenAI
You can pass in the optional `returnPromptLayerId` boolean to get a `promptLayerRequestId` like below. Here is an example of getting the PromptLayerChatOpenAI requestID:
```typescript
import { PromptLayerChatOpenAI } from "langchain/llms/openai";
con... | langchainjs/docs/core_docs/docs/integrations/chat/prompt_layer_openai.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/chat/prompt_layer_openai.mdx",
"repo_id": "langchainjs",
"token_count": 578
} | 729 |
# 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/testing_common.py/0 | {
"file_path": "peft/tests/testing_common.py",
"repo_id": "peft",
"token_count": 24562
} | 341 |
#!/usr/bin/env python
# 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/LI... | transformers/examples/pytorch/image-classification/run_image_classification.py/0 | {
"file_path": "transformers/examples/pytorch/image-classification/run_image_classification.py",
"repo_id": "transformers",
"token_count": 7153
} | 561 |
"""PyTorch CspNet
A PyTorch implementation of Cross Stage Partial Networks including:
* CSPResNet50
* CSPResNeXt50
* CSPDarkNet53
* and DarkNet53 for good measure
Based on paper `CSPNet: A New Backbone that can Enhance Learning Capability of CNN` - https://arxiv.org/abs/1911.11929
Reference impl via darknet cfg file... | pytorch-image-models/timm/models/cspnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/cspnet.py",
"repo_id": "pytorch-image-models",
"token_count": 19954
} | 341 |
<jupyter_start><jupyter_text>ClientThis is an example client that interacts with the server that has "auth".Please reference appropriate documentation in the server code and in FastAPI to actually make this secure. Login as Alice<jupyter_code>import requests
response = requests.post("http://localhost:8000/token", dat... | langserve/examples/auth/per_req_config_modifier/client.ipynb/0 | {
"file_path": "langserve/examples/auth/per_req_config_modifier/client.ipynb",
"repo_id": "langserve",
"token_count": 444
} | 1,039 |
// 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/datanode/syncmgr/storage_v2_serializer_test.go/0 | {
"file_path": "milvus/internal/datanode/syncmgr/storage_v2_serializer_test.go",
"repo_id": "milvus",
"token_count": 4472
} | 1,809 |
---
sidebar_position: 0
---
# Quick Start
Large Language Models (LLMs) are a core component of LangChain.
LangChain does not serve its own LLMs, but rather provides a standard interface for interacting with many different LLMs.
There are lots of LLM providers (OpenAI, Cohere, Hugging Face, etc) - the `LLM` class is ... | langchainjs/docs/core_docs/docs/modules/model_io/llms/quick_start.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/model_io/llms/quick_start.mdx",
"repo_id": "langchainjs",
"token_count": 1543
} | 762 |
from __future__ import annotations
from typing import TYPE_CHECKING, List
from langchain_core.pydantic_v1 import Field
from langchain_community.agent_toolkits.base import BaseToolkit
from langchain_community.tools import BaseTool
from langchain_community.tools.office365.create_draft_message import (
O365CreateDr... | langchain/libs/community/langchain_community/agent_toolkits/office365/toolkit.py/0 | {
"file_path": "langchain/libs/community/langchain_community/agent_toolkits/office365/toolkit.py",
"repo_id": "langchain",
"token_count": 595
} | 224 |
#!/usr/bin/env bash
# Licensed to the LF AI & Data foundation under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you... | milvus/scripts/3rdparty_build.sh/0 | {
"file_path": "milvus/scripts/3rdparty_build.sh",
"repo_id": "milvus",
"token_count": 1456
} | 2,126 |
FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04
LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
RUN apt update
RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg
RUN python3 -m pip install --no-cache-dir --upgrade pip
ARG REF=main
RUN git clone https://githu... | transformers/docker/transformers-tensorflow-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-tensorflow-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 374
} | 429 |
#!/usr/bin/env python
# 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/LI... | transformers/examples/tensorflow/language-modeling/run_mlm.py/0 | {
"file_path": "transformers/examples/tensorflow/language-modeling/run_mlm.py",
"repo_id": "transformers",
"token_count": 12796
} | 551 |
<jupyter_start><jupyter_text>Private Semi-structured and Multi-modal RAG w/ LLaMA2 and LLaVAMany documents contain a mixture of content types, including text, tables, and images. Semi-structured data can be challenging for conventional RAG for at least two reasons: * Text splitting may break up tables, corrupting the d... | langchain/cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb/0 | {
"file_path": "langchain/cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb",
"repo_id": "langchain",
"token_count": 3901
} | 74 |
"""Configuration for unit tests."""
from importlib import util
from typing import Dict, Sequence
import pytest
from pytest import Config, Function, Parser
def pytest_addoption(parser: Parser) -> None:
"""Add custom command line options to pytest."""
parser.addoption(
"--only-extended",
action... | langchain/libs/langchain/tests/unit_tests/conftest.py/0 | {
"file_path": "langchain/libs/langchain/tests/unit_tests/conftest.py",
"repo_id": "langchain",
"token_count": 1483
} | 653 |
LANGCHAIN_TRACING_V2="true"
LANGCHAIN_ENDPOINT="https://api.smith.langchain.com"
LANGCHAIN_API_KEY="YOUR_LANGSMITH_API_KEY_HERE"
LANGCHAIN_PROJECT="YOUR_PROJECT_HERE"
OPENAI_API_KEY="YOUR_OPENAI_API_KEY_HERE" | langsmith-cookbook/feedback-examples/nextjs/.env.example/0 | {
"file_path": "langsmith-cookbook/feedback-examples/nextjs/.env.example",
"repo_id": "langsmith-cookbook",
"token_count": 104
} | 1,056 |
# 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/tests/models/stablelm/test_modeling_stablelm.py/0 | {
"file_path": "transformers/tests/models/stablelm/test_modeling_stablelm.py",
"repo_id": "transformers",
"token_count": 8002
} | 815 |
from langchain_community.agent_toolkits.zapier.toolkit import ZapierToolkit
__all__ = ["ZapierToolkit"]
| langchain/libs/langchain/langchain/agents/agent_toolkits/zapier/toolkit.py/0 | {
"file_path": "langchain/libs/langchain/langchain/agents/agent_toolkits/zapier/toolkit.py",
"repo_id": "langchain",
"token_count": 37
} | 484 |
poetry_requirements(
name="poetry",
)
python_requirements(
name="reqs",
)
| llama_index/llama-index-integrations/tools/llama-index-tools-multion/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-multion/BUILD",
"repo_id": "llama_index",
"token_count": 36
} | 1,517 |
from langchain_ai21.chat_models import ChatAI21
from langchain_ai21.embeddings import AI21Embeddings
from langchain_ai21.llms import AI21LLM
__all__ = [
"AI21LLM",
"ChatAI21",
"AI21Embeddings",
]
| langchain/libs/partners/ai21/langchain_ai21/__init__.py/0 | {
"file_path": "langchain/libs/partners/ai21/langchain_ai21/__init__.py",
"repo_id": "langchain",
"token_count": 86
} | 616 |
<jupyter_start><jupyter_text>Auto-Retrieval from a Vectara IndexThis guide shows how to perform **auto-retrieval** in LlamaIndex with Vectara. Given a natural language query, we first use the LLM to infer a set of metadata filters as well as the right query string to pass to the Vectara Index.This allows for more dynam... | llama_index/docs/examples/retrievers/vectara_auto_retriever.ipynb/0 | {
"file_path": "llama_index/docs/examples/retrievers/vectara_auto_retriever.ipynb",
"repo_id": "llama_index",
"token_count": 2804
} | 1,080 |
from llama_index.core.readers.base import BaseReader
from llama_index.readers.kibela import KibelaReader
def test_class():
names_of_base_classes = [b.__name__ for b in KibelaReader.__mro__]
assert BaseReader.__name__ in names_of_base_classes
| llama_index/llama-index-integrations/readers/llama-index-readers-kibela/tests/test_readers_kibela.py/0 | {
"file_path": "llama_index/llama-index-integrations/readers/llama-index-readers-kibela/tests/test_readers_kibela.py",
"repo_id": "llama_index",
"token_count": 91
} | 1,390 |
# 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_xl/test_stable_diffusion_xl_adapter.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_adapter.py",
"repo_id": "diffusers",
"token_count": 13516
} | 295 |
{
"details": {
"best_of_sequences": null,
"finish_reason": "length",
"generated_tokens": 10,
"prefill": [
{
"id": 1,
"logprob": null,
"text": "<s>"
},
{
"id": 4911,
"logprob": -6.9765625,
"text": "User"
},
{
"id": 29... | text-generation-inference/integration-tests/models/__snapshots__/test_idefics/test_idefics.json/0 | {
"file_path": "text-generation-inference/integration-tests/models/__snapshots__/test_idefics/test_idefics.json",
"repo_id": "text-generation-inference",
"token_count": 2062
} | 366 |
# Ollama
[Ollama](https://ollama.ai/) allows you to run open-source large language models, such as Llama 2, locally.
Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile. It optimizes setup and configuration details, including GPU usage.
This example goes over how to us... | langchainjs/docs/core_docs/docs/integrations/llms/ollama.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/integrations/llms/ollama.mdx",
"repo_id": "langchainjs",
"token_count": 426
} | 709 |
from llama2_functions.chain import chain
__all__ = ["chain"]
| langchain/templates/llama2-functions/llama2_functions/__init__.py/0 | {
"file_path": "langchain/templates/llama2-functions/llama2_functions/__init__.py",
"repo_id": "langchain",
"token_count": 21
} | 652 |
python_tests(
name="tests",
skip_tests=True,
)
| llama_index/llama-index-legacy/tests/callbacks/BUILD/0 | {
"file_path": "llama_index/llama-index-legacy/tests/callbacks/BUILD",
"repo_id": "llama_index",
"token_count": 25
} | 1,615 |
python_sources()
| llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/llama_index/tools/tavily_research/BUILD/0 | {
"file_path": "llama_index/llama-index-integrations/tools/llama-index-tools-tavily-research/llama_index/tools/tavily_research/BUILD",
"repo_id": "llama_index",
"token_count": 6
} | 1,632 |
# 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 required by appl... | accelerate/src/accelerate/test_utils/scripts/external_deps/test_pippy.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/scripts/external_deps/test_pippy.py",
"repo_id": "accelerate",
"token_count": 1729
} | 14 |
/* eslint-disable prefer-template */
/* eslint-disable default-case */
/* eslint-disable no-plusplus */
// Adapted from https://github.com/gfortaine/fetch-event-source/blob/main/src/parse.ts
// due to a packaging issue in the original.
// MIT License
import { type Readable } from "stream";
import { IterableReadableStre... | langchainjs/libs/langchain-community/src/utils/event_source_parse.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/utils/event_source_parse.ts",
"repo_id": "langchainjs",
"token_count": 3481
} | 1,079 |
"""Test HuggingFace API wrapper."""
from pathlib import Path
import pytest
from langchain_community.llms.huggingface_hub import HuggingFaceHub
from langchain_community.llms.loading import load_llm
from tests.integration_tests.llms.utils import assert_llm_equality
def test_huggingface_text_generation() -> None:
... | langchain/libs/community/tests/integration_tests/llms/test_huggingface_hub.py/0 | {
"file_path": "langchain/libs/community/tests/integration_tests/llms/test_huggingface_hub.py",
"repo_id": "langchain",
"token_count": 589
} | 336 |
# Evaluating Evaluators with `LabelledEvaluatorDataset`'s
The purpose of the llama-datasets is to provide builders the means to quickly benchmark
LLM systems or tasks. In that spirit, the `LabelledEvaluatorDataset` exists to
facilitate the evaluation of evaluators in a seamless and effortless manner.
This dataset con... | llama_index/docs/module_guides/evaluating/evaluating_evaluators_with_llamadatasets.md/0 | {
"file_path": "llama_index/docs/module_guides/evaluating/evaluating_evaluators_with_llamadatasets.md",
"repo_id": "llama_index",
"token_count": 837
} | 1,140 |
from langchain_community.embeddings.fake import (
DeterministicFakeEmbedding,
FakeEmbeddings,
)
__all__ = ["FakeEmbeddings", "DeterministicFakeEmbedding"]
| langchain/libs/langchain/langchain/embeddings/fake.py/0 | {
"file_path": "langchain/libs/langchain/langchain/embeddings/fake.py",
"repo_id": "langchain",
"token_count": 57
} | 532 |
[net]
# Testing
batch=1
subdivisions=1
# Training
# batch=64
# subdivisions=16
width= 416
height = 416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1
learning_rate=0.001
burn_in=1000
max_batches = 500200
policy=steps
steps=400000,450000
scales=.1,.1
[convolutional]
batch_normaliz... | candle/candle-examples/examples/yolo-v3/yolo-v3.cfg/0 | {
"file_path": "candle/candle-examples/examples/yolo-v3/yolo-v3.cfg",
"repo_id": "candle",
"token_count": 3586
} | 51 |
// 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/tso/tso.go/0 | {
"file_path": "milvus/internal/tso/tso.go",
"repo_id": "milvus",
"token_count": 2375
} | 2,013 |
import { ExaSearchResults } from "@langchain/exa";
import { ChatOpenAI } from "@langchain/openai";
import type { ChatPromptTemplate } from "@langchain/core/prompts";
import Exa from "exa-js";
import { pull } from "langchain/hub";
import { AgentExecutor, createOpenAIFunctionsAgent } from "langchain/agents";
// Define t... | langchainjs/examples/src/tools/exa_search.ts/0 | {
"file_path": "langchainjs/examples/src/tools/exa_search.ts",
"repo_id": "langchainjs",
"token_count": 467
} | 850 |
import type { BaseLanguageModelInterface } from "@langchain/core/language_models/base";
import { PromptTemplate } from "@langchain/core/prompts";
import { Document } from "@langchain/core/documents";
import { ChainValues } from "@langchain/core/utils/types";
import { BaseMemory, InputValues, OutputValues } from "@langc... | langchainjs/langchain/src/experimental/generative_agents/generative_agent_memory.ts/0 | {
"file_path": "langchainjs/langchain/src/experimental/generative_agents/generative_agent_memory.ts",
"repo_id": "langchainjs",
"token_count": 5881
} | 987 |
# Performer fine-tuning
Example authors: @TevenLeScao, @Patrickvonplaten
Paper authors: Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy Colwell, Adrian Weller
## Requirements
`datase... | transformers/examples/research_projects/performer/README.md/0 | {
"file_path": "transformers/examples/research_projects/performer/README.md",
"repo_id": "transformers",
"token_count": 408
} | 594 |
<script lang="ts">
export let classNames = "";
</script>
<svg
xmlns="http://www.w3.org/2000/svg"
class={classNames}
width="1em"
height="1em"
fill="none"
viewBox="0 0 32 32"
><path
fill="currentColor"
fill-rule="evenodd"
d="M3.143 20.286h4.286v2.142H3.143A2.143 2.143 0 0 1 1 20.287V3.143A2.143 2.143 0 0 1... | chat-ui/src/lib/components/icons/IconNew.svelte/0 | {
"file_path": "chat-ui/src/lib/components/icons/IconNew.svelte",
"repo_id": "chat-ui",
"token_count": 426
} | 89 |
# coding=utf-8
# Copyright 2023 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/clvp/feature_extraction_clvp.py/0 | {
"file_path": "transformers/src/transformers/models/clvp/feature_extraction_clvp.py",
"repo_id": "transformers",
"token_count": 4454
} | 614 |
// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable l... | milvus/internal/core/src/segcore/TimestampIndex.cpp/0 | {
"file_path": "milvus/internal/core/src/segcore/TimestampIndex.cpp",
"repo_id": "milvus",
"token_count": 1790
} | 1,748 |
from langchain_core.example_selectors.length_based import (
LengthBasedExampleSelector,
)
__all__ = ["LengthBasedExampleSelector"]
| langchain/libs/langchain/langchain/prompts/example_selector/length_based.py/0 | {
"file_path": "langchain/libs/langchain/langchain/prompts/example_selector/length_based.py",
"repo_id": "langchain",
"token_count": 42
} | 554 |
package proxy
import (
"context"
"testing"
"time"
"github.com/cockroachdb/errors"
"github.com/stretchr/testify/assert"
"github.com/milvus-io/milvus/pkg/mq/msgstream"
"github.com/milvus-io/milvus/pkg/util/merr"
"github.com/milvus-io/milvus/pkg/util/resource"
)
func TestReplicateManager(t *testing.T) {
facto... | milvus/internal/proxy/replicate_stream_manager_test.go/0 | {
"file_path": "milvus/internal/proxy/replicate_stream_manager_test.go",
"repo_id": "milvus",
"token_count": 943
} | 2,021 |
import json
import logging
import os
from collections import defaultdict
from pathlib import Path
from huggingface_hub import HfApi, ModelFilter
import diffusers
PATH_TO_REPO = Path(__file__).parent.parent.resolve()
ALWAYS_TEST_PIPELINE_MODULES = [
"controlnet",
"stable_diffusion",
"stable_diffusion_2",... | diffusers/utils/fetch_torch_cuda_pipeline_test_matrix.py/0 | {
"file_path": "diffusers/utils/fetch_torch_cuda_pipeline_test_matrix.py",
"repo_id": "diffusers",
"token_count": 1082
} | 295 |
from typing import Any, Dict, List
from langchain_core.language_models import BaseLanguageModel
from langchain_core.messages import BaseMessage, get_buffer_string
from langchain.memory.chat_memory import BaseChatMemory
class ConversationTokenBufferMemory(BaseChatMemory):
"""Conversation chat memory with token l... | langchain/libs/langchain/langchain/memory/token_buffer.py/0 | {
"file_path": "langchain/libs/langchain/langchain/memory/token_buffer.py",
"repo_id": "langchain",
"token_count": 849
} | 558 |
# Read the Docs configuration file for Sphinx projects
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
# Required
version: 2
# Set the OS, Python version and other tools you might need
build:
os: ubuntu-22.04
tools:
python: "3.11"
commands:
- python -mvirtualenv $READTHEDOCS_... | llama_index/.readthedocs.yaml/0 | {
"file_path": "llama_index/.readthedocs.yaml",
"repo_id": "llama_index",
"token_count": 317
} | 1,024 |
import logging
from typing import Any, List
import requests
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
class DiffbotLoader(BaseLoader):
"""Load `Diffbot` json file."""
def __init__(
self, api_t... | langchain/libs/community/langchain_community/document_loaders/diffbot.py/0 | {
"file_path": "langchain/libs/community/langchain_community/document_loaders/diffbot.py",
"repo_id": "langchain",
"token_count": 912
} | 235 |
import { htmlToText, type HtmlToTextOptions } from "html-to-text";
import {
MappingDocumentTransformer,
Document,
} from "@langchain/core/documents";
/**
* A transformer that converts HTML content to plain text.
* @example
* ```typescript
* const loader = new CheerioWebBaseLoader("https://example.com/some-page... | langchainjs/libs/langchain-community/src/document_transformers/html_to_text.ts/0 | {
"file_path": "langchainjs/libs/langchain-community/src/document_transformers/html_to_text.ts",
"repo_id": "langchainjs",
"token_count": 369
} | 985 |
# coding=utf-8
# Copyright 2023 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/nougat/convert_nougat_to_hf.py/0 | {
"file_path": "transformers/src/transformers/models/nougat/convert_nougat_to_hf.py",
"repo_id": "transformers",
"token_count": 4666
} | 663 |
---
hide_table_of_contents: true
sidebar_position: 4
---
# Interacting with APIs
Lots of data and information is stored behind APIs.
This page covers all resources available in LangChain for working with APIs.
## Chains
If you are just getting started and you have relatively simple APIs, you should get started with... | langchainjs/docs/core_docs/docs/use_cases/api.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/use_cases/api.mdx",
"repo_id": "langchainjs",
"token_count": 225
} | 741 |
---
sidebar_position: 1
sidebar_class_name: hidden
---
# Refine
The refine documents chain constructs a response by looping over the input documents and iteratively updating its answer. For each document, it passes all non-document inputs, the current document, and the latest intermediate answer to an LLM chain to ge... | langchainjs/docs/core_docs/docs/modules/chains/document/refine.mdx/0 | {
"file_path": "langchainjs/docs/core_docs/docs/modules/chains/document/refine.mdx",
"repo_id": "langchainjs",
"token_count": 412
} | 805 |
import argparse
import math
import os
from pathlib import Path
import colossalai
import torch
import torch.nn.functional as F
import torch.utils.checkpoint
from colossalai.context.parallel_mode import ParallelMode
from colossalai.core import global_context as gpc
from colossalai.logging import disable_existing_loggers... | diffusers/examples/research_projects/colossalai/train_dreambooth_colossalai.py/0 | {
"file_path": "diffusers/examples/research_projects/colossalai/train_dreambooth_colossalai.py",
"repo_id": "diffusers",
"token_count": 11176
} | 212 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | diffusers/docs/source/ko/optimization/fp16.md/0 | {
"file_path": "diffusers/docs/source/ko/optimization/fp16.md",
"repo_id": "diffusers",
"token_count": 10812
} | 195 |
from .base import GoogleVectorStore, google_service_context, set_google_config
__all__ = [
"google_service_context",
"set_google_config",
"GoogleVectorStore",
]
| llama_index/llama-index-legacy/llama_index/legacy/vector_stores/google/generativeai/__init__.py/0 | {
"file_path": "llama_index/llama-index-legacy/llama_index/legacy/vector_stores/google/generativeai/__init__.py",
"repo_id": "llama_index",
"token_count": 60
} | 1,545 |
from abc import ABC, abstractmethod
from typing import Callable, List, Tuple
from langchain_core.language_models import BaseLanguageModel
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.language_models.llms import BaseLLM
from langchain_core.prompts import BasePromptTemplate
fr... | langchain/libs/langchain/langchain/chains/prompt_selector.py/0 | {
"file_path": "langchain/libs/langchain/langchain/chains/prompt_selector.py",
"repo_id": "langchain",
"token_count": 704
} | 486 |
# coding=utf-8
# Copyright 2023 Microsoft 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/phi/modeling_phi.py/0 | {
"file_path": "transformers/src/transformers/models/phi/modeling_phi.py",
"repo_id": "transformers",
"token_count": 27233
} | 679 |
use super::{super::OrderedVocabIter, WordPiece, WordPieceBuilder};
use serde::{
de::{MapAccess, Visitor},
ser::SerializeStruct,
Deserialize, Deserializer, Serialize, Serializer,
};
use std::collections::HashSet;
impl Serialize for WordPiece {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Er... | tokenizers/tokenizers/src/models/wordpiece/serialization.rs/0 | {
"file_path": "tokenizers/tokenizers/src/models/wordpiece/serialization.rs",
"repo_id": "tokenizers",
"token_count": 2453
} | 466 |
import {
BaseRetriever,
type BaseRetrieverInput,
type BaseRetrieverInterface,
} from "@langchain/core/retrievers";
import type { DocumentInterface } from "@langchain/core/documents";
import { CallbackManagerForRetrieverRun } from "@langchain/core/callbacks/manager";
import { BaseDocumentCompressor } from "./docum... | langchainjs/langchain/src/retrievers/contextual_compression.ts/0 | {
"file_path": "langchainjs/langchain/src/retrievers/contextual_compression.ts",
"repo_id": "langchainjs",
"token_count": 666
} | 942 |
<script lang="ts">
import CarbonRotate360 from "~icons/carbon/rotate-360";
export let classNames = "";
</script>
<button
type="button"
on:click
class="btn flex h-8 rounded-lg border bg-white px-3 py-1 text-gray-500 shadow-sm transition-all hover:bg-gray-100 dark:border-gray-600 dark:bg-gray-700 dark:text-gray-30... | chat-ui/src/lib/components/RetryBtn.svelte/0 | {
"file_path": "chat-ui/src/lib/components/RetryBtn.svelte",
"repo_id": "chat-ui",
"token_count": 157
} | 97 |
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