text stringlengths 7 328k | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 459 |
|---|---|---|---|
def remove_prefix(text, prefix):
return text[text.startswith(prefix) and len(prefix):]
nps = {}
for k, v in model.state_dict().items():
k = remove_prefix(k, 'module_list.')
nps[k] = v.detach().numpy()
np.savez('yolo-v3.ot', **nps)
| candle/candle-examples/examples/yolo-v3/extract-weights.py/0 | {
"file_path": "candle/candle-examples/examples/yolo-v3/extract-weights.py",
"repo_id": "candle",
"token_count": 98
} | 23 |
use std::io::prelude::*;
pub trait Sample {
fn to_i16(&self) -> i16;
}
impl Sample for f32 {
fn to_i16(&self) -> i16 {
(self.clamp(-1.0, 1.0) * 32767.0) as i16
}
}
impl Sample for f64 {
fn to_i16(&self) -> i16 {
(self.clamp(-1.0, 1.0) * 32767.0) as i16
}
}
impl Sample for i16 {
... | candle/candle-examples/src/wav.rs/0 | {
"file_path": "candle/candle-examples/src/wav.rs",
"repo_id": "candle",
"token_count": 729
} | 24 |
use core::ffi::{c_int, c_void};
extern "C" {
pub(crate) fn run_mha(
q_ptr: *const c_void,
k_ptr: *const c_void,
v_ptr: *const c_void,
o_ptr: *const c_void,
softmax_lse_ptr: *const c_void,
alibi_slopes_ptr: *const c_void,
cu_seqlens_q_ptr: *const i32,
... | candle/candle-flash-attn/src/ffi.rs/0 | {
"file_path": "candle/candle-flash-attn/src/ffi.rs",
"repo_id": "candle",
"token_count": 670
} | 25 |
// Kernels adapted from llama.cpp ggml-cuda.cu
// https://github.com/ggerganov/llama.cpp/blob/master/ggml-cuda.cu
#include "cuda_fp16.h"
#include "cuda_bf16.h"
#include<stdint.h>
#ifdef GGML_QKK_64
#define QK_K 64
#define K_SCALE_SIZE 4
#else
#define QK_K 256
#define K_SCALE_SIZE 12
#endif
#undef GGML_CUDA_F16
#defin... | candle/candle-kernels/src/quantized.cu/0 | {
"file_path": "candle/candle-kernels/src/quantized.cu",
"repo_id": "candle",
"token_count": 30648
} | 26 |
#include <metal_stdlib>
#
using namespace metal;
METAL_FUNC uint get_strided_index(
uint idx,
constant size_t &num_dims,
constant size_t *dims,
constant size_t *strides
) {
uint strided_i = 0;
for (uint d = 0; d < num_dims; d++) {
uint dim_idx = num_dims - 1 - d;
strided_i += (i... | candle/candle-metal-kernels/src/ternary.metal/0 | {
"file_path": "candle/candle-metal-kernels/src/ternary.metal",
"repo_id": "candle",
"token_count": 2209
} | 27 |
//! Layers defined by closures.
use candle::{Result, Tensor};
use std::sync::Arc;
/// A layer defined by a simple closure.
#[derive(Clone)]
pub struct Func<'a> {
#[allow(clippy::type_complexity)]
f: Arc<dyn 'a + Fn(&Tensor) -> Result<Tensor> + Send + Sync>,
}
impl<'a> std::fmt::Debug for Func<'a> {
fn fmt... | candle/candle-nn/src/func.rs/0 | {
"file_path": "candle/candle-nn/src/func.rs",
"repo_id": "candle",
"token_count": 804
} | 28 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::test_utils::to_vec0_round;
use candle::{Device, Result, Tensor};
/* Equivalent python code:
import torch
import torch.nn.functional as F
input = torch.tensor([
[ 1.1050, 0.3013, -1.5394, -... | candle/candle-nn/tests/loss.rs/0 | {
"file_path": "candle/candle-nn/tests/loss.rs",
"repo_id": "candle",
"token_count": 1344
} | 29 |
from typing import Union, Sequence
class Tensor:
"""
This contains the type hints for the magic methodes of the `candle.Tensor` class.
"""
def __add__(self, rhs: Union["Tensor", "Scalar"]) -> "Tensor":
"""
Add a scalar to a tensor or two tensors together.
"""
pass
... | candle/candle-pyo3/_additional_typing/__init__.py/0 | {
"file_path": "candle/candle-pyo3/_additional_typing/__init__.py",
"repo_id": "candle",
"token_count": 1174
} | 30 |
# Generated content DO NOT EDIT
from typing import Any, Callable, Dict, List, Optional, Tuple, Union, Sequence
from os import PathLike
from candle.typing import _ArrayLike, Device, Scalar, Index, Shape
from candle import Tensor, DType, QTensor
class ONNXModel:
"""
A wrapper around an ONNX model.
"""
d... | candle/candle-pyo3/py_src/candle/onnx/__init__.pyi/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/onnx/__init__.pyi",
"repo_id": "candle",
"token_count": 939
} | 31 |
import candle
from candle import Tensor, QTensor
from candle.nn import Module, Linear
from candle.utils import cuda_is_available
import pytest
def test_module_can_be_constructed():
class A(Module):
pass
a = A()
assert a is not None
assert len(list(a.buffers())) == 0
def test_module_registe... | candle/candle-pyo3/tests/bindings/test_module.py/0 | {
"file_path": "candle/candle-pyo3/tests/bindings/test_module.py",
"repo_id": "candle",
"token_count": 1853
} | 32 |
use candle::{IndexOp, Result, Tensor, D};
use candle_nn::{layer_norm, LayerNorm, Linear, Module, VarBuilder};
const IMG_SIZE: usize = 518;
const PATCH_SIZE: usize = 14;
const NUM_CLASSES: usize = 1000;
fn linear(vb: VarBuilder, in_dim: usize, out_dim: usize, bias: bool) -> Result<Linear> {
if bias {
candl... | candle/candle-transformers/src/models/dinov2.rs/0 | {
"file_path": "candle/candle-transformers/src/models/dinov2.rs",
"repo_id": "candle",
"token_count": 4376
} | 33 |
use crate::models::with_tracing::{linear_no_bias, Linear, RmsNorm};
/// Mixtral Model
/// https://github.com/huggingface/transformers/blob/main/src/transformers/models/mixtral/modeling_mixtral.py
/// https://mistral.ai/news/mixtral-of-experts/
use candle::{DType, Device, Module, Result, Tensor, D};
use candle_nn::{Acti... | candle/candle-transformers/src/models/mixtral.rs/0 | {
"file_path": "candle/candle-transformers/src/models/mixtral.rs",
"repo_id": "candle",
"token_count": 9108
} | 34 |
use crate::quantized_nn::{layer_norm, linear, linear_no_bias, Embedding, Linear};
pub use crate::quantized_var_builder::VarBuilder;
use candle::{DType, Device, Module, Result, Tensor, D};
use candle_nn::{Activation, LayerNorm};
use std::sync::Arc;
pub use crate::models::stable_lm::Config;
use crate::models::stable_lm:... | candle/candle-transformers/src/models/quantized_stable_lm.rs/0 | {
"file_path": "candle/candle-transformers/src/models/quantized_stable_lm.rs",
"repo_id": "candle",
"token_count": 5441
} | 35 |
//! Contrastive Language-Image Pre-Training
//!
//! Contrastive Language-Image Pre-Training (CLIP) is an architecture trained on
//! pairs of images with related texts.
//!
//! https://github.com/openai/CLIP
use candle::{DType, Device, Result, Tensor, D};
use candle_nn as nn;
use candle_nn::Module;
#[derive(Debug, Clo... | candle/candle-transformers/src/models/stable_diffusion/clip.rs/0 | {
"file_path": "candle/candle-transformers/src/models/stable_diffusion/clip.rs",
"repo_id": "candle",
"token_count": 6474
} | 36 |
//! VGG-16 model implementation.
//!
//! See Very Deep Convolutional Networks for Large-Scale Image Recognition
//! <https://arxiv.org/abs/1409.1556>
use candle::{ModuleT, Result, Tensor};
use candle_nn::{FuncT, VarBuilder};
// Enum representing the different VGG models
pub enum Models {
Vgg13,
Vgg16,
Vgg1... | candle/candle-transformers/src/models/vgg.rs/0 | {
"file_path": "candle/candle-transformers/src/models/vgg.rs",
"repo_id": "candle",
"token_count": 4303
} | 37 |
pub mod text_generation;
| candle/candle-transformers/src/pipelines/mod.rs/0 | {
"file_path": "candle/candle-transformers/src/pipelines/mod.rs",
"repo_id": "candle",
"token_count": 7
} | 38 |
import init, { Model } from "./build/m.js";
async function fetchArrayBuffer(url, cacheFile = true) {
if (!cacheFile) return new Uint8Array(await (await fetch(url)).arrayBuffer());
const cacheName = "blip-candle-cache";
const cache = await caches.open(cacheName);
const cachedResponse = await cache.match(url);
... | candle/candle-wasm-examples/blip/blipWorker.js/0 | {
"file_path": "candle/candle-wasm-examples/blip/blipWorker.js",
"repo_id": "candle",
"token_count": 815
} | 39 |
mod app;
pub mod model;
pub mod worker;
pub use app::App;
pub use worker::Worker;
| candle/candle-wasm-examples/llama2-c/src/lib.rs/0 | {
"file_path": "candle/candle-wasm-examples/llama2-c/src/lib.rs",
"repo_id": "candle",
"token_count": 29
} | 40 |
import init, { run_app } from './pkg/candle_wasm_example_whisper.js';
async function main() {
await init('/pkg/candle_wasm_example_whisper_bg.wasm');
run_app();
}
main()
| candle/candle-wasm-examples/whisper/main.js/0 | {
"file_path": "candle/candle-wasm-examples/whisper/main.js",
"repo_id": "candle",
"token_count": 73
} | 41 |
fn main() {
wasm_logger::init(wasm_logger::Config::new(log::Level::Trace));
console_error_panic_hook::set_once();
yew::Renderer::<candle_wasm_example_yolo::App>::new().render();
}
| candle/candle-wasm-examples/yolo/src/bin/app.rs/0 | {
"file_path": "candle/candle-wasm-examples/yolo/src/bin/app.rs",
"repo_id": "candle",
"token_count": 82
} | 42 |
MONGODB_URL=mongodb://localhost:27017/ | chat-ui/.env.ci/0 | {
"file_path": "chat-ui/.env.ci",
"repo_id": "chat-ui",
"token_count": 16
} | 43 |
export default {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
};
| chat-ui/postcss.config.js/0 | {
"file_path": "chat-ui/postcss.config.js",
"repo_id": "chat-ui",
"token_count": 34
} | 44 |
<script lang="ts">
import { base } from "$app/paths";
import { page } from "$app/stores";
import {
PUBLIC_APP_DESCRIPTION,
PUBLIC_APP_NAME,
PUBLIC_APP_DISCLAIMER_MESSAGE,
} from "$env/static/public";
import LogoHuggingFaceBorderless from "$lib/components/icons/LogoHuggingFaceBorderless.svelte";
import Modal... | chat-ui/src/lib/components/DisclaimerModal.svelte/0 | {
"file_path": "chat-ui/src/lib/components/DisclaimerModal.svelte",
"repo_id": "chat-ui",
"token_count": 1051
} | 45 |
<script lang="ts">
import Modal from "./Modal.svelte";
import CarbonClose from "~icons/carbon/close";
import CarbonBlockchain from "~icons/carbon/blockchain";
export let preprompt: string;
let isOpen = false;
</script>
<button
type="button"
class="mx-auto flex items-center gap-1.5 rounded-full border border-g... | chat-ui/src/lib/components/SystemPromptModal.svelte/0 | {
"file_path": "chat-ui/src/lib/components/SystemPromptModal.svelte",
"repo_id": "chat-ui",
"token_count": 508
} | 46 |
<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
} | 47 |
import { TEXT_EMBEDDING_MODELS } from "$env/static/private";
import { z } from "zod";
import { sum } from "$lib/utils/sum";
import {
embeddingEndpoints,
embeddingEndpointSchema,
type EmbeddingEndpoint,
} from "$lib/server/embeddingEndpoints/embeddingEndpoints";
import { embeddingEndpointTransformersJS } from "$lib/... | chat-ui/src/lib/server/embeddingModels.ts/0 | {
"file_path": "chat-ui/src/lib/server/embeddingModels.ts",
"repo_id": "chat-ui",
"token_count": 1061
} | 48 |
import type { Conversation } from "$lib/types/Conversation";
import type { Message } from "$lib/types/Message";
import { format } from "date-fns";
import { downloadFile } from "./files/downloadFile";
export async function preprocessMessages(
messages: Message[],
webSearch: Message["webSearch"],
multimodal: boolean,... | chat-ui/src/lib/server/preprocessMessages.ts/0 | {
"file_path": "chat-ui/src/lib/server/preprocessMessages.ts",
"repo_id": "chat-ui",
"token_count": 1335
} | 49 |
import { writable } from "svelte/store";
export interface TitleUpdate {
convId: string;
title: string;
}
export default writable<TitleUpdate | null>(null);
| chat-ui/src/lib/stores/titleUpdate.ts/0 | {
"file_path": "chat-ui/src/lib/stores/titleUpdate.ts",
"repo_id": "chat-ui",
"token_count": 50
} | 50 |
import { defaultModel } from "$lib/server/models";
import type { Assistant } from "./Assistant";
import type { Timestamps } from "./Timestamps";
import type { User } from "./User";
export interface Settings extends Timestamps {
userId?: User["_id"];
sessionId?: string;
/**
* Note: Only conversations with this se... | chat-ui/src/lib/types/Settings.ts/0 | {
"file_path": "chat-ui/src/lib/types/Settings.ts",
"repo_id": "chat-ui",
"token_count": 289
} | 51 |
import { base } from "$app/paths";
import { PUBLIC_ORIGIN, PUBLIC_SHARE_PREFIX } from "$env/static/public";
export function getShareUrl(url: URL, shareId: string): string {
return `${PUBLIC_SHARE_PREFIX || `${PUBLIC_ORIGIN || url.origin}${base}`}/r/${shareId}`;
}
| chat-ui/src/lib/utils/getShareUrl.ts/0 | {
"file_path": "chat-ui/src/lib/utils/getShareUrl.ts",
"repo_id": "chat-ui",
"token_count": 99
} | 52 |
import type { Conversation } from "$lib/types/Conversation";
import type { Message } from "$lib/types/Message";
import { v4 } from "uuid";
export function addChildren(
conv: Pick<Conversation, "messages" | "rootMessageId">,
message: Omit<Message, "id">,
parentId?: Message["id"]
): Message["id"] {
// if this is the... | chat-ui/src/lib/utils/tree/addChildren.ts/0 | {
"file_path": "chat-ui/src/lib/utils/tree/addChildren.ts",
"repo_id": "chat-ui",
"token_count": 501
} | 53 |
import { collections } from "$lib/server/database";
import { authCondition } from "$lib/server/auth";
import { z } from "zod";
import { ObjectId } from "mongodb";
export async function GET({ locals, params }) {
const id = z.string().parse(params.id);
const convId = new ObjectId(id);
if (locals.user?._id || locals.... | chat-ui/src/routes/api/conversation/[id]/+server.ts/0 | {
"file_path": "chat-ui/src/routes/api/conversation/[id]/+server.ts",
"repo_id": "chat-ui",
"token_count": 396
} | 54 |
import { authCondition } from "$lib/server/auth";
import { collections } from "$lib/server/database";
import { error } from "@sveltejs/kit";
import { ObjectId } from "mongodb";
import { z } from "zod";
import type { RequestHandler } from "./$types";
import { downloadFile } from "$lib/server/files/downloadFile";
export... | chat-ui/src/routes/conversation/[id]/output/[sha256]/+server.ts/0 | {
"file_path": "chat-ui/src/routes/conversation/[id]/output/[sha256]/+server.ts",
"repo_id": "chat-ui",
"token_count": 439
} | 55 |
<script lang="ts">
import { onMount } from "svelte";
import { base } from "$app/paths";
import { afterNavigate, goto } from "$app/navigation";
import { page } from "$app/stores";
import { useSettingsStore } from "$lib/stores/settings";
import CarbonClose from "~icons/carbon/close";
import CarbonArrowUpRight from... | chat-ui/src/routes/settings/(nav)/+layout.svelte/0 | {
"file_path": "chat-ui/src/routes/settings/(nav)/+layout.svelte",
"repo_id": "chat-ui",
"token_count": 2052
} | 56 |
@import "highlight.js/styles/atom-one-dark";
| chat-ui/src/styles/highlight-js.css/0 | {
"file_path": "chat-ui/src/styles/highlight-js.css",
"repo_id": "chat-ui",
"token_count": 17
} | 57 |
const defaultTheme = require("tailwindcss/defaultTheme");
const colors = require("tailwindcss/colors");
import dotenv from "dotenv";
dotenv.config({ path: "./.env" });
/** @type {import('tailwindcss').Config} */
export default {
darkMode: "class",
content: ["./src/**/*.{html,js,svelte,ts}"],
theme: {
extend: {
... | chat-ui/tailwind.config.cjs/0 | {
"file_path": "chat-ui/tailwind.config.cjs",
"repo_id": "chat-ui",
"token_count": 276
} | 58 |
import json
import os
import tempfile
import datasets
from utils import generate_example_dataset, get_duration
SPEED_TEST_N_EXAMPLES = 50_000
SMALL_TEST = 5_000
RESULTS_BASEPATH, RESULTS_FILENAME = os.path.split(__file__)
RESULTS_FILE_PATH = os.path.join(RESULTS_BASEPATH, "results", RESULTS_FILENAME.replace(".py", ... | datasets/benchmarks/benchmark_iterating.py/0 | {
"file_path": "datasets/benchmarks/benchmark_iterating.py",
"repo_id": "datasets",
"token_count": 1697
} | 59 |
# Dataset features
[`Features`] defines the internal structure of a dataset. It is used to specify the underlying serialization format. What's more interesting to you though is that [`Features`] contains high-level information about everything from the column names and types, to the [`ClassLabel`]. You can think of [`... | datasets/docs/source/about_dataset_features.mdx/0 | {
"file_path": "datasets/docs/source/about_dataset_features.mdx",
"repo_id": "datasets",
"token_count": 2334
} | 60 |
# Cloud storage
🤗 Datasets supports access to cloud storage providers through a `fsspec` FileSystem implementations.
You can save and load datasets from any cloud storage in a Pythonic way.
Take a look at the following table for some example of supported cloud storage providers:
| Storage provider | Filesystem i... | datasets/docs/source/filesystems.mdx/0 | {
"file_path": "datasets/docs/source/filesystems.mdx",
"repo_id": "datasets",
"token_count": 2640
} | 61 |
# Object detection
Object detection models identify something in an image, and object detection datasets are used for applications such as autonomous driving and detecting natural hazards like wildfire. This guide will show you how to apply transformations to an object detection dataset following the [tutorial](https:... | datasets/docs/source/object_detection.mdx/0 | {
"file_path": "datasets/docs/source/object_detection.mdx",
"repo_id": "datasets",
"token_count": 2299
} | 62 |
# Share a dataset to the Hub
The [Hub](https://huggingface.co/datasets) is home to an extensive collection of community-curated and popular research datasets. We encourage you to share your dataset to the Hub to help grow the ML community and accelerate progress for everyone. All contributions are welcome; adding a da... | datasets/docs/source/upload_dataset.mdx/0 | {
"file_path": "datasets/docs/source/upload_dataset.mdx",
"repo_id": "datasets",
"token_count": 2010
} | 63 |
# Copyright 2021 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/cer/test_cer.py/0 | {
"file_path": "datasets/metrics/cer/test_cer.py",
"repo_id": "datasets",
"token_count": 2407
} | 64 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset 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.... | datasets/metrics/exact_match/exact_match.py/0 | {
"file_path": "datasets/metrics/exact_match/exact_match.py",
"repo_id": "datasets",
"token_count": 2111
} | 65 |
# Copyright 2021 The HuggingFace Datasets Authors and the current dataset 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.... | datasets/metrics/matthews_correlation/matthews_correlation.py/0 | {
"file_path": "datasets/metrics/matthews_correlation/matthews_correlation.py",
"repo_id": "datasets",
"token_count": 1736
} | 66 |
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset 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.... | datasets/metrics/recall/recall.py/0 | {
"file_path": "datasets/metrics/recall/recall.py",
"repo_id": "datasets",
"token_count": 2604
} | 67 |
# Metric Card for SQuAD v2
## Metric description
This metric wraps the official scoring script for version 2 of the [Stanford Question Answering Dataset (SQuAD)](https://huggingface.co/datasets/squad_v2).
SQuAD is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia art... | datasets/metrics/squad_v2/README.md/0 | {
"file_path": "datasets/metrics/squad_v2/README.md",
"repo_id": "datasets",
"token_count": 2372
} | 68 |
<jupyter_start><jupyter_text>**⚠️ This notebook is deprecated in favor of the [Quickstart notebook](https://github.com/huggingface/notebooks/blob/main/datasets_doc/en/quickstart.ipynb)** HuggingFace 🤗 Datasets library - Quick overviewModels come and go (linear models, LSTM, Transformers, ...) but two core elements ha... | datasets/notebooks/Overview.ipynb/0 | {
"file_path": "datasets/notebooks/Overview.ipynb",
"repo_id": "datasets",
"token_count": 10406
} | 69 |
import logging
import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator
import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import D... | datasets/src/datasets/commands/test.py/0 | {
"file_path": "datasets/src/datasets/commands/test.py",
"repo_id": "datasets",
"token_count": 4202
} | 70 |
import importlib
import shutil
import warnings
from typing import List
import fsspec
import fsspec.asyn
from fsspec.implementations.local import LocalFileSystem
from ..utils.deprecation_utils import deprecated
from . import compression
_has_s3fs = importlib.util.find_spec("s3fs") is not None
if _has_s3fs:
from... | datasets/src/datasets/filesystems/__init__.py/0 | {
"file_path": "datasets/src/datasets/filesystems/__init__.py",
"repo_id": "datasets",
"token_count": 866
} | 71 |
from typing import Callable, Optional
from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream
class GeneratorDatasetInputStream(AbstractDatasetInputStream):
def __init__(
self,
generator: Callable,
features: Optional... | datasets/src/datasets/io/generator.py/0 | {
"file_path": "datasets/src/datasets/io/generator.py",
"repo_id": "datasets",
"token_count": 868
} | 72 |
import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate
@dataclass(frozen=True)
class AudioClassification(TaskTemplate):
task: str = field(default="audio-classification", metadata={"include_in_asdict_... | datasets/src/datasets/tasks/audio_classification.py/0 | {
"file_path": "datasets/src/datasets/tasks/audio_classification.py",
"repo_id": "datasets",
"token_count": 487
} | 73 |
"""Contains utilities to flag a feature as "experimental" in datasets."""
import warnings
from functools import wraps
from typing import Callable
def experimental(fn: Callable) -> Callable:
"""Decorator to flag a feature as experimental.
An experimental feature trigger a warning when used as it might be sub... | datasets/src/datasets/utils/experimental.py/0 | {
"file_path": "datasets/src/datasets/utils/experimental.py",
"repo_id": "datasets",
"token_count": 386
} | 74 |
[
"unknown",
"n<1K",
"1K<n<10K",
"10K<n<100K",
"100K<n<1M",
"1M<n<10M",
"10M<n<100M",
"100M<n<1B",
"1B<n<10B",
"10B<n<100B",
"100B<n<1T",
"n>1T"
]
| datasets/src/datasets/utils/resources/size_categories.json/0 | {
"file_path": "datasets/src/datasets/utils/resources/size_categories.json",
"repo_id": "datasets",
"token_count": 124
} | 75 |
import pytest
DATASET_LOADING_SCRIPT_NAME = "__dummy_dataset1__"
DATASET_LOADING_SCRIPT_CODE = """
import json
import os
import datasets
REPO_URL = "https://huggingface.co/datasets/hf-internal-testing/raw_jsonl/resolve/main/"
URLS = {"train": REPO_URL + "wikiann-bn-train.jsonl", "validation": REPO_URL + "wikiann-... | datasets/tests/commands/conftest.py/0 | {
"file_path": "datasets/tests/commands/conftest.py",
"repo_id": "datasets",
"token_count": 1193
} | 76 |
import os
import textwrap
import pyarrow as pa
import pytest
from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv
from ..utils import require_pil
@pytest.fixture
def csv_file(tmp_path):
filename = tmp_path / "file.csv"
data = textwrap.dedent(
"""\
... | datasets/tests/packaged_modules/test_csv.py/0 | {
"file_path": "datasets/tests/packaged_modules/test_csv.py",
"repo_id": "datasets",
"token_count": 1672
} | 77 |
import json
import os
from pathlib import Path
import pytest
from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename
URL = "http://www.mocksite.com/file1.txt"
CONTENT = '"text": ["foo", "fo... | datasets/tests/test_download_manager.py/0 | {
"file_path": "datasets/tests/test_download_manager.py",
"repo_id": "datasets",
"token_count": 2407
} | 78 |
import os
import pickle
import tempfile
import time
from multiprocessing import Pool
from unittest import TestCase
import pytest
from datasets.features import Features, Sequence, Value
from datasets.metric import Metric, MetricInfo
from .utils import require_tf, require_torch
class DummyMetric(Metric):
def _in... | datasets/tests/test_metric.py/0 | {
"file_path": "datasets/tests/test_metric.py",
"repo_id": "datasets",
"token_count": 10533
} | 79 |
import pytest
from datasets import inspect_metric, list_metrics, load_metric
@pytest.fixture
def mock_emitted_deprecation_warnings(monkeypatch):
monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings", set())
# Used by list_metrics
@pytest.fixture
def mock_hfh(monkeypatch):
cla... | datasets/tests/test_warnings.py/0 | {
"file_path": "datasets/tests/test_warnings.py",
"repo_id": "datasets",
"token_count": 473
} | 80 |
<jupyter_start><jupyter_text>Unit 6: Advantage Actor Critic (A2C) using Robotics Simulations with Panda-Gym 🤖In this notebook, you'll learn to use A2C with [Panda-Gym](https://github.com/qgallouedec/panda-gym). You're going **to train a robotic arm** (Franka Emika Panda robot) to perform a task:- `Reach`: the robot mu... | deep-rl-class/notebooks/unit6/unit6.ipynb/0 | {
"file_path": "deep-rl-class/notebooks/unit6/unit6.ipynb",
"repo_id": "deep-rl-class",
"token_count": 4384
} | 81 |
# Introduction to Deep Reinforcement Learning [[introduction-to-deep-reinforcement-learning]]
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit1/thumbnail.jpg" alt="Unit 1 thumbnail" width="100%">
Welcome to the most fascinating topic in Artificial Intelligence: ... | deep-rl-class/units/en/unit1/introduction.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit1/introduction.mdx",
"repo_id": "deep-rl-class",
"token_count": 477
} | 82 |
# A Q-Learning example [[q-learning-example]]
To better understand Q-Learning, let's take a simple example:
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit3/Maze-Example-2.jpg" alt="Maze-Example"/>
- You're a mouse in this tiny maze. You always **start at the s... | deep-rl-class/units/en/unit2/q-learning-example.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit2/q-learning-example.mdx",
"repo_id": "deep-rl-class",
"token_count": 1402
} | 83 |
# The advantages and disadvantages of policy-gradient methods
At this point, you might ask, "but Deep Q-Learning is excellent! Why use policy-gradient methods?". To answer this question, let's study the **advantages and disadvantages of policy-gradient methods**.
## Advantages
There are multiple advantages over valu... | deep-rl-class/units/en/unit4/advantages-disadvantages.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit4/advantages-disadvantages.mdx",
"repo_id": "deep-rl-class",
"token_count": 1184
} | 84 |
# Quiz
The best way to learn and [to avoid the illusion of competence](https://www.coursera.org/lecture/learning-how-to-learn/illusions-of-competence-BuFzf) **is to test yourself.** This will help you to find **where you need to reinforce your knowledge**.
### Q1: Which of the following tools are specifically designe... | deep-rl-class/units/en/unit5/quiz.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit5/quiz.mdx",
"repo_id": "deep-rl-class",
"token_count": 1539
} | 85 |
# Self-Play: a classic technique to train competitive agents in adversarial games
Now that we've studied the basics of multi-agents, we're ready to go deeper. As mentioned in the introduction, we're going **to train agents in an adversarial game with SoccerTwos, a 2vs2 game**.
<figure>
<img src="https://huggingface.c... | deep-rl-class/units/en/unit7/self-play.mdx/0 | {
"file_path": "deep-rl-class/units/en/unit7/self-play.mdx",
"repo_id": "deep-rl-class",
"token_count": 2245
} | 86 |
# Hands-on [[hands-on]]
Now that you've learned to use Optuna, here are some ideas to apply what you've learned:
1️⃣ **Beat your LunarLander-v2 agent results**, by using Optuna to find a better set of hyperparameters. You can also try with another environment, such as MountainCar-v0 and CartPole-v1.
2️⃣ **Beat your ... | deep-rl-class/units/en/unitbonus2/hands-on.mdx/0 | {
"file_path": "deep-rl-class/units/en/unitbonus2/hands-on.mdx",
"repo_id": "deep-rl-class",
"token_count": 207
} | 87 |
import argparse
import sys
sys.path.append(".")
from base_classes import ControlNetBenchmark, ControlNetSDXLBenchmark # noqa: E402
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--ckpt",
type=str,
default="lllyasviel/sd-controlnet-canny",
... | diffusers/benchmarks/benchmark_controlnet.py/0 | {
"file_path": "diffusers/benchmarks/benchmark_controlnet.py",
"repo_id": "diffusers",
"token_count": 352
} | 88 |
<!--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/api/loaders/unet.md/0 | {
"file_path": "diffusers/docs/source/en/api/loaders/unet.md",
"repo_id": "diffusers",
"token_count": 402
} | 89 |
<!--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/api/pipelines/ddpm.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/ddpm.md",
"repo_id": "diffusers",
"token_count": 572
} | 90 |
<!--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/api/pipelines/pix2pix.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/pix2pix.md",
"repo_id": "diffusers",
"token_count": 707
} | 91 |
<!--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/api/pipelines/stable_diffusion/sdxl_turbo.md/0 | {
"file_path": "diffusers/docs/source/en/api/pipelines/stable_diffusion/sdxl_turbo.md",
"repo_id": "diffusers",
"token_count": 677
} | 92 |
<!--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/api/schedulers/ddim.md/0 | {
"file_path": "diffusers/docs/source/en/api/schedulers/ddim.md",
"repo_id": "diffusers",
"token_count": 1122
} | 93 |
<!--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/api/schedulers/multistep_dpm_solver_inverse.md/0 | {
"file_path": "diffusers/docs/source/en/api/schedulers/multistep_dpm_solver_inverse.md",
"repo_id": "diffusers",
"token_count": 547
} | 94 |
<!--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/quicktour.md/0 | {
"file_path": "diffusers/docs/source/en/quicktour.md",
"repo_id": "diffusers",
"token_count": 4836
} | 95 |
<!--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/training/text2image.md/0 | {
"file_path": "diffusers/docs/source/en/training/text2image.md",
"repo_id": "diffusers",
"token_count": 4032
} | 96 |
<!--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/using-diffusers/custom_pipeline_overview.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/custom_pipeline_overview.md",
"repo_id": "diffusers",
"token_count": 3520
} | 97 |
<!--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/using-diffusers/other-formats.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/other-formats.md",
"repo_id": "diffusers",
"token_count": 2824
} | 98 |
<!--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/using-diffusers/weighted_prompts.md/0 | {
"file_path": "diffusers/docs/source/en/using-diffusers/weighted_prompts.md",
"repo_id": "diffusers",
"token_count": 4105
} | 99 |
<!--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/habana.md/0 | {
"file_path": "diffusers/docs/source/ko/optimization/habana.md",
"repo_id": "diffusers",
"token_count": 1911
} | 100 |
<!--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/instructpix2pix.md/0 | {
"file_path": "diffusers/docs/source/ko/training/instructpix2pix.md",
"repo_id": "diffusers",
"token_count": 5652
} | 101 |
<!--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/using-diffusers/inpaint.md/0 | {
"file_path": "diffusers/docs/source/ko/using-diffusers/inpaint.md",
"repo_id": "diffusers",
"token_count": 1656
} | 102 |
<!--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/pt/installation.md/0 | {
"file_path": "diffusers/docs/source/pt/installation.md",
"repo_id": "diffusers",
"token_count": 2101
} | 103 |
import glob
import os
from typing import Dict, List, Union
import safetensors.torch
import torch
from huggingface_hub import snapshot_download
from huggingface_hub.utils import validate_hf_hub_args
from diffusers import DiffusionPipeline, __version__
from diffusers.schedulers.scheduling_utils import SCHEDULER_CONFIG_... | diffusers/examples/community/checkpoint_merger.py/0 | {
"file_path": "diffusers/examples/community/checkpoint_merger.py",
"repo_id": "diffusers",
"token_count": 6172
} | 104 |
import inspect
from typing import Any, Callable, Dict, List, Optional, Union
import numpy as np
import torch
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
from diffusers.image_processor import VaeImageProcessor
from diffusers.loaders import FromSingleFileMixin, LoraLoaderMixin, TextualInve... | diffusers/examples/community/latent_consistency_interpolate.py/0 | {
"file_path": "diffusers/examples/community/latent_consistency_interpolate.py",
"repo_id": "diffusers",
"token_count": 21992
} | 105 |
# Copyright 2024 FABRIC authors and the HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... | diffusers/examples/community/pipeline_fabric.py/0 | {
"file_path": "diffusers/examples/community/pipeline_fabric.py",
"repo_id": "diffusers",
"token_count": 16483
} | 106 |
import math
import tempfile
from typing import List, Optional
import numpy as np
import PIL.Image
import torch
from accelerate import Accelerator
from torchvision import transforms
from tqdm.auto import tqdm
from transformers import CLIPTextModel, CLIPTokenizer
from diffusers import AutoencoderKL, DiffusionPipeline, ... | diffusers/examples/community/sde_drag.py/0 | {
"file_path": "diffusers/examples/community/sde_drag.py",
"repo_id": "diffusers",
"token_count": 11664
} | 107 |
import types
from typing import List, Optional, Tuple, Union
import torch
from transformers import CLIPTextModelWithProjection, CLIPTokenizer
from transformers.models.clip.modeling_clip import CLIPTextModelOutput
from diffusers.models import PriorTransformer
from diffusers.pipelines import DiffusionPipeline, StableDi... | diffusers/examples/community/stable_unclip.py/0 | {
"file_path": "diffusers/examples/community/stable_unclip.py",
"repo_id": "diffusers",
"token_count": 5489
} | 108 |
# ControlNet training example
[Adding Conditional Control to Text-to-Image Diffusion Models](https://arxiv.org/abs/2302.05543) by Lvmin Zhang and Maneesh Agrawala.
This example is based on the [training example in the original ControlNet repository](https://github.com/lllyasviel/ControlNet/blob/main/docs/train.md). I... | diffusers/examples/controlnet/README.md/0 | {
"file_path": "diffusers/examples/controlnet/README.md",
"repo_id": "diffusers",
"token_count": 6041
} | 109 |
# 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/examples/instruct_pix2pix/test_instruct_pix2pix.py/0 | {
"file_path": "diffusers/examples/instruct_pix2pix/test_instruct_pix2pix.py",
"repo_id": "diffusers",
"token_count": 1823
} | 110 |
# Consistency Training
`train_cm_ct_unconditional.py` trains a consistency model (CM) from scratch following the consistency training (CT) algorithm introduced in [Consistency Models](https://arxiv.org/abs/2303.01469) and refined in [Improved Techniques for Training Consistency Models](https://arxiv.org/abs/2310.14189... | diffusers/examples/research_projects/consistency_training/README.md/0 | {
"file_path": "diffusers/examples/research_projects/consistency_training/README.md",
"repo_id": "diffusers",
"token_count": 413
} | 111 |
# 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... | diffusers/examples/research_projects/lora/train_text_to_image_lora.py/0 | {
"file_path": "diffusers/examples/research_projects/lora/train_text_to_image_lora.py",
"repo_id": "diffusers",
"token_count": 19064
} | 112 |
#!/usr/bin/env python
# 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/LI... | diffusers/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py/0 | {
"file_path": "diffusers/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py",
"repo_id": "diffusers",
"token_count": 17009
} | 113 |
#!/usr/bin/env python
# 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/LI... | diffusers/examples/text_to_image/test_text_to_image.py/0 | {
"file_path": "diffusers/examples/text_to_image/test_text_to_image.py",
"repo_id": "diffusers",
"token_count": 7427
} | 114 |
## Training an unconditional diffusion model
Creating a training image set is [described in a different document](https://huggingface.co/docs/datasets/image_process#image-datasets).
### Installing the dependencies
Before running the scripts, make sure to install the library's training dependencies:
**Important**
T... | diffusers/examples/unconditional_image_generation/README.md/0 | {
"file_path": "diffusers/examples/unconditional_image_generation/README.md",
"repo_id": "diffusers",
"token_count": 1939
} | 115 |
import argparse
import torch
from diffusers import MotionAdapter
def convert_motion_module(original_state_dict):
converted_state_dict = {}
for k, v in original_state_dict.items():
if "pos_encoder" in k:
continue
else:
converted_state_dict[
k.replace("... | diffusers/scripts/convert_animatediff_motion_module_to_diffusers.py/0 | {
"file_path": "diffusers/scripts/convert_animatediff_motion_module_to_diffusers.py",
"repo_id": "diffusers",
"token_count": 731
} | 116 |
# Run this script to convert the Stable Cascade model weights to a diffusers pipeline.
import argparse
from contextlib import nullcontext
import torch
from safetensors.torch import load_file
from transformers import (
AutoTokenizer,
CLIPConfig,
CLIPImageProcessor,
CLIPTextModelWithProjection,
CLIPV... | diffusers/scripts/convert_stable_cascade.py/0 | {
"file_path": "diffusers/scripts/convert_stable_cascade.py",
"repo_id": "diffusers",
"token_count": 3605
} | 117 |
import argparse
import json
import os
from datetime import date
from pathlib import Path
from slack_sdk import WebClient
from tabulate import tabulate
MAX_LEN_MESSAGE = 2900 # slack endpoint has a limit of 3001 characters
parser = argparse.ArgumentParser()
parser.add_argument("--slack_channel_name", default="diffu... | diffusers/scripts/log_reports.py/0 | {
"file_path": "diffusers/scripts/log_reports.py",
"repo_id": "diffusers",
"token_count": 2322
} | 118 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/loaders/autoencoder.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/autoencoder.py",
"repo_id": "diffusers",
"token_count": 3112
} | 119 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/attention_flax.py/0 | {
"file_path": "diffusers/src/diffusers/models/attention_flax.py",
"repo_id": "diffusers",
"token_count": 9031
} | 120 |
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | diffusers/src/diffusers/models/modeling_flax_pytorch_utils.py/0 | {
"file_path": "diffusers/src/diffusers/models/modeling_flax_pytorch_utils.py",
"repo_id": "diffusers",
"token_count": 2325
} | 121 |
# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | diffusers/src/diffusers/models/transformers/transformer_2d.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/transformer_2d.py",
"repo_id": "diffusers",
"token_count": 10660
} | 122 |
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