url stringlengths 23 7.17k | text stringlengths 0 1.65M |
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https://huggingface.co/leix1 | Lei Xia
leix1
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https://huggingface.co/kevinintel | test
kevinintel
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arxiv:2211.07715
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https://huggingface.co/drock577 | Dylan Lang
drock577
drock577
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https://huggingface.co/bbhattar | Bibek Bhattarai
bbhattar
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models 2
bbhattar/flan_t5_xl_cnn_dailymail
Text2Text Generation • Updated Apr 3
bbhattar/flan-t5-samsum
Text2Text Generation • Updated Mar 14
datasets
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https://huggingface.co/joshivm | Vinay Joshi
joshivm
joshivm22
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https://huggingface.co/helenai | helenai/bert-base-uncased-sst2-jpqd-ov-int8
Updated 21 days ago • 3
helenai/bert-base-uncased-squad-v1
Question Answering • Updated 21 days ago • 3
helenai/anton-l-wav2vec2-base-superb-sd-ov
Updated Aug 1
helenai/anton-l-wav2vec2-base-superb-sv-ov
Updated Aug 1
helenai/facebook-hubert-large-ls960-ft-ov
Updated Aug ... |
https://huggingface.co/vandanapadala27 | vandana padala
vandanapadala27
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https://huggingface.co/microsoft/speecht5_vc | SpeechT5 (voice conversion task)
SpeechT5 model fine-tuned for voice conversion (speech-to-speech) on CMU ARCTIC.
This model was introduced in SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li... |
https://huggingface.co/spaces/microsoft/HuggingGPT | App Files Files
Community
57
Building... |
https://huggingface.co/spaces/Matthijs/speecht5-tts-demo | App Files Files
Community
1 |
https://huggingface.co/MatrixYao | 25 1
Matrix Yao
MatrixYao
yao-matrix
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spaces 1
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1
🦀
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https://huggingface.co/Kaixuanliu | Liu,Kaixuan
Kaixuanliu
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spaces 1
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1
📉
Textual Inversion Training
models
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https://huggingface.co/microsoft/speecht5_tts | SpeechT5 (TTS task)
SpeechT5 model fine-tuned for speech synthesis (text-to-speech) on LibriTTS.
This model was introduced in SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihu... |
https://huggingface.co/spaces/microsoft/Promptist | App Files Files
Community
5 |
https://huggingface.co/spaces/microsoft/GODEL-Demo | Spaces
microsoft
/
GODEL-Demo
Build error
App Files Files
Community
2
build error
Unexpected build error
Build logs:
Fetching error logs... |
https://huggingface.co/spaces/microsoft/ChatGPT-Robotics | Spaces
microsoft
/
ChatGPT-Robotics
Build error
App Files Files
Community
1
build error
Unexpected build error
Build logs:
Fetching error logs... |
https://huggingface.co/spaces/microsoft/unicl-img-recog-demo | runtime error
68 [00:00<?, ?B/s] Downloading (…)okenizer_config.json: 100%|██████████| 568/568 [00:00<00:00, 367kB/s] Downloading (…)lve/main/config.json: 0%| | 0.00/4.19k [00:00<?, ?B/s] Downloading (…)lve/main/config.json: 100%|██████████| 4.19k/4.19k [00:00<00:00, 2.80MB/s] Creating model: swin /home/user/.local/li... |
https://huggingface.co/microsoft/prophetnet-large-uncased-squad-qg | prophetnet-large-uncased-squad-qg Fine-tuned weights(converted from original fairseq version repo) for ProphetNet on question generation SQuAD 1.1.
ProphetNet is a new pre-trained language model for sequence-to-sequence learning with a novel self-supervised objective called future n-gram prediction.
ProphetNet is able ... |
https://huggingface.co/Tanujay | Saha
Tanujay
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https://huggingface.co/microsoft/xclip-base-patch16-zero-shot | X-CLIP (base-sized model)
X-CLIP model (base-sized, patch resolution of 16) trained on Kinetics-400. It was introduced in the paper Expanding Language-Image Pretrained Models for General Video Recognition by Ni et al. and first released in this repository.
This model was trained using 32 frames per video, at a resolut... |
https://huggingface.co/microsoft/cvt-13 | Edit model card
Convolutional Vision Transformer (CvT)
CvT-13 model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in the paper CvT: Introducing Convolutions to Vision Transformers by Wu et al. and first released in this repository.
Disclaimer: The team releasing CvT did not write a model card f... |
https://huggingface.co/microsoft/tapex-large-sql-execution | TAPEX (large-sized model)
TAPEX was proposed in TAPEX: Table Pre-training via Learning a Neural SQL Executor by Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou. The original repo can be found here.
Model description
TAPEX (Table Pre-training via Execution) is a conceptually simple... |
https://huggingface.co/microsoft/phi-1 | Edit model card
Model Summary
The language model phi-1 is a Transformer with 1.3 billion parameters, specialized for basic Python coding. Its training involved a variety of data sources, including subsets of Python codes from The Stack v1.2, Q&A content from StackOverflow, competition code from code_contests, and syn... |
https://huggingface.co/spaces/microsoft/visual_chatgpt | runtime error
403, in __get_result raise self._exception File "/home/user/.pyenv/versions/3.10.12/lib/python3.10/concurrent/futures/thread.py", line 58, in run result = self.fn(*self.args, **self.kwargs) File "/home/user/.pyenv/versions/3.10.12/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line ... |
https://huggingface.co/microsoft/git-base-vatex | GIT (GenerativeImage2Text), base-sized, fine-tuned on VATEX
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on VATEX. It was introduced in the paper GIT: A Generative Image-to-text Transformer for Vision and Language by Wang et al. and first released in this repository.
Disclaimer: The team ... |
https://huggingface.co/microsoft/mpnet-base | No model card
New: Create and edit this model card directly on the website!
Contribute a Model Card
Downloads last month139,956
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Mask token: undefined
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Spaces using microsoft/mpnet-base 3 |
https://huggingface.co/microsoft/swin-tiny-patch4-window7-224 | Swin Transformer (tiny-sized model)
Swin Transformer model trained on ImageNet-1k at resolution 224x224. It was introduced in the paper Swin Transformer: Hierarchical Vision Transformer using Shifted Windows by Liu et al. and first released in this repository.
Disclaimer: The team releasing Swin Transformer did not w... |
https://huggingface.co/chaitanya-ms | Chaitanya Gupta
chaitanya-ms
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https://huggingface.co/owendeng | Deng Deng
owendeng
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https://huggingface.co/funmikesa | Oluwafunmilola Kesa
funmikesa
funmikesa
funmikesa
Research interests
Computer Vision, NLP
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https://huggingface.co/datasets/microsoft/LCC_python | Subset Split
gt
string
context
string
""" Model definition functions and weight loading. """ from __future__ import print_function, division from keras.models import Model, Sequential from keras.layers.merge import concatenate from keras.layers import Input, Bidirectional, Embedding, Dense, Dropout, SpatialDropout1D... |
https://huggingface.co/microsoft/swin-base-patch4-window7-224 | Swin Transformer (base-sized model)
Swin Transformer model trained on ImageNet-1k at resolution 224x224. It was introduced in the paper Swin Transformer: Hierarchical Vision Transformer using Shifted Windows by Liu et al. and first released in this repository.
Disclaimer: The team releasing Swin Transformer did not w... |
https://huggingface.co/datasets/microsoft/LCC_csharp | Subset Split
context
stringlengths
2.52k
185k
gt
stringclasses
1 value
namespace DanTup.DartVS.ProjectSystem.Controls { using System; using System.ComponentModel; using System.Drawing; using System.IO; using System.Windows.Forms; using Microsoft.VisualStudio.Shell.Interop; using Package = Microsoft.VisualStudio.Shell.... |
https://huggingface.co/soarroyo | Andrea Arroyo
soarroyo
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https://huggingface.co/datasets/microsoft/LCC_java | Subset Split
gt
string
context
string
package de.mpii.rdf3x; import java.io.InputStream; import java.io.Reader; import java.sql.Array; import java.sql.Blob; import java.sql.Clob; import java.sql.Date; import java.sql.NClob; import java.sql.Ref; import java.sql.RowId; import java.sql.SQLException; import java.sql.SQL... |
https://huggingface.co/datasets/microsoft/CLUES | CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
This repo contains the data for the NeurIPS 2021 benchmark Constrained Language Understanding Evaluation Standard (CLUES).
Leaderboard
We maintain a Leaderboard allowing researchers to submit their results as entries.
Submission Instructions
Each ... |
https://huggingface.co/Kunda | Chaikatisha
Kunda
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https://huggingface.co/ramaramani | Rama Ramani
ramaramani
rramani
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https://huggingface.co/microsoft/phi-1_5 | Model Summary
The language model phi-1.5 is a Transformer with 1.3 billion parameters. It was trained using the same data sources as phi-1, augmented with a new data source that consists of various NLP synthetic texts. When assessed against benchmarks testing common sense, language understanding, and logical reasoning... |
https://huggingface.co/memoryz | Jason Wang
memoryz
memoryz
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https://huggingface.co/msftndubuisi | Emmanuel Ndubuisi
msftndubuisi
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https://huggingface.co/pidajay | Ajay P
pidajay
pidajay
Research interests
AI, Medical Imaging, Healthcare
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https://huggingface.co/devinHMS | Devin Howard
devinHMS
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https://huggingface.co/datasets/microsoft/codexglue_method_generation | a, b = tee(iterable)<EOL>next(b, None)<EOL>return zip(a, b)<EOL>
s -> (s0,s1), (s1,s2), (s2, s3), ...
<EOL>all_characters = re.findall('<STR_LIT>', text) <EOL>if len(all_characters) == <NUM_LIT:0>:<EOL><INDENT>return <NUM_LIT:0><EOL><DEDENT>repetition_count = Counter(all_characters)<EOL>score = (len(all_characters)) **... |
https://huggingface.co/sanjeev3 | Sanjeev Jagtap
sanjeev3
sanjeev3
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https://huggingface.co/collections/microsoft/speecht5-650995fc647a3ea442cc6c7b | microsoft 's Collections
SpeechT5
SpeechT5
updated 14 days ago
The SpeechT5 framework consists of a shared seq2seq and six modal-specific (speech/text) pre/post-nets that can address a few audio-related tasks.
Upvote
1
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
Paper • 2110.07... |
https://huggingface.co/bsmock | 1
Brandon Smock
bsmock
bsmock
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models 4
bsmock/TATR-v1.1-Pub
Updated Aug 22
bsmock/TATR-v1.1-All
Updated Aug 22 • 2
bsmock/TATR-v1.1-Fin
Updated Aug 22 • 2
bsmock/tatr-pubtables1m-v1.0
Updated Jun 15 • 1
datasets 4
bsmock/FinTabNet.c
Viewer • Updated 26 days ago
bsmock/... |
https://huggingface.co/sakulka | Sandip Kulkarni
sakulka
Research interests
Reinforcement Learning, Control Theory, Systems
Organizations |
https://huggingface.co/chenglong-ms | Chenglong Wang
chenglong-ms
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Papers 1
arxiv:2306.09896
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https://huggingface.co/jwilcox | Jeff Wilcox
jwilcox
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https://huggingface.co/jennifermarsman | Jennifer Marsman
jennifermarsman
jennifermarsman
jennifermarsman
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https://huggingface.co/Eitamar | Saraf
Eitamar
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NLP, CV
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https://huggingface.co/nkishan | Neel Kishan
nkishan
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https://huggingface.co/millicentochieng | Millicent Ochieng
millicentochieng
millicentochieng
Research interests
NLP, ML, AI
Organizations
models 1
millicentochieng/en-fake-news-classifier
Updated Mar 18
datasets
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https://huggingface.co/gugarosa | 29 3 1
Gustavo de Rosa
gugarosa
gugarosa
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Papers 1
arxiv:2306.11644
spaces 2
No application file
🔥
Majority Voting
Runtime error
🌍
Codegen The Stack Inference
models
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datasets
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https://huggingface.co/shengz | 6 8 2
Sheng Zhang
shengz
https://sheng-z.github.io/
sheng_zh
sheng-z
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Papers 4
arxiv:2303.00915
arxiv:2306.00890
arxiv:2308.02180
arxiv:2308.03279
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https://huggingface.co/ancientmooner | Han Hu
ancientmooner
https://ancientmooner.github.io/
ancientmooner
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https://huggingface.co/Inhenn | Yinheng Li
Inhenn
Inhenn
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https://huggingface.co/impiga | 1
Yutong Lin
impiga
impiga
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Papers 1
arxiv:2308.01904
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https://huggingface.co/Ishmam | zabir
Ishmam
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https://huggingface.co/zeliu98 | Ze Liu
zeliu98
https://zeliu98.github.io/
zeliu98
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https://huggingface.co/papers/2110.07205 | Published on Oct 14, 2021
Authors:
,
,
,
,
,
,
,
,
,
,
,
,
Abstract
Motivated by the success of T5 (Text-To-Text Transfer Transformer) in pre-trained natural language processing models, we propose a unified-modal SpeechT5 framework that explores the encoder-decoder pre-training for self-supervised speech/te... |
https://huggingface.co/altorremsft | Alyssa Torres
altorremsft
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https://huggingface.co/bs1 | B S
bs1
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https://huggingface.co/ARahul | Rahul
ARahul
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https://huggingface.co/kleinhu | Klein Hu
kleinhu
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https://huggingface.co/nileshdattani | Nilesh Dattani
nileshdattani
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https://huggingface.co/shruthib | Shruthi Bannur
shruthib
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https://huggingface.co/PrithviMicrosoft | 1
Prithvishankar Srinivasan
PrithviMicrosoft
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https://huggingface.co/ozanoktay | 1 3
Ozan Oktay
ozanoktay
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Papers 2
arxiv:2204.09817
arxiv:2301.04558
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https://huggingface.co/sthyland | Stephanie
sthyland
https://sthy.land
_hylandSL
corcra
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https://huggingface.co/rogerpengyu | Roger (Peng) Yu
rogerpengyu
rogerpengyu
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https://huggingface.co/fosoromo | Foromo Daniel Soromou
fosoromo
grandfather1
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NLP
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https://huggingface.co/avikram | Ayush Vikram
avikram
avikram2
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https://huggingface.co/nvalluri | 1
Naveen Valluri
nvalluri
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Papers 1
arxiv:2307.06439
models
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https://huggingface.co/henryz | henryzeng
henryz
Research interests
LLM, AIGC, ML Platform, Prompt Engineering, product manager, LLM product design and dev
Organizations
spaces 3 |
https://huggingface.co/Jiahang | 6
Jiahang Xu
Jiahang
JiahangXu
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Papers 1
arxiv:2306.14393
spaces 1
Runtime error
🌖
Latency Prediction by nn-Meter
models
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https://huggingface.co/fepegar | Fernando Pérez-García
fepegar
Research interests
Medical image computing
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Papers 1
models 1 |
https://huggingface.co/BSlininger | Brian Slininger
BSlininger
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https://huggingface.co/Nancc | 8
Nan Chen
Nancc
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https://huggingface.co/yufan | 44
yufan zhao
yufan
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https://huggingface.co/test233 | WJ
test233
Research interests
NLP
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https://huggingface.co/intfloat | Liang Wang
intfloat
Research interests
natural language processing
Organizations
models 17
datasets 6 |
https://huggingface.co/gavrilo | 1
Gavrilo Andrić
gavrilo
gavrilo91
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models
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https://huggingface.co/VenerableSpace | Farrukh Rahman
VenerableSpace
Research interests
low labeled settings (few shot, semi-supervised), Fine grained tasks, Representation learning, Video Understanding, Anomaly Detection,
Organizations
Papers 1 |
https://huggingface.co/saghar-h | Saghar Hosseini
saghar-h
sagharh
Saghar-Hosseini
Research interests
NLP, Fairness, Natural Language Safety
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models
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https://huggingface.co/shubhamv199 | Shubham Verma
shubhamv199
shubhamv199
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https://huggingface.co/t-aakritilnu | Aakriti Lnu
t-aakritilnu
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models
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https://huggingface.co/amka66 | Amir Kantor
amka66
Research interests
machine learning, artificial intelligence, natural language processing, formal methods, formal mathematics
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https://huggingface.co/pavelkliuiev | Pavel Kliuiev
pavelkliuiev
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https://huggingface.co/knxylan | Su He
knxylan
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None yet
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models 2
knxylan/sumodel
Updated Jul 25, 2022
knxylan/Su
Updated Jul 25, 2022
datasets
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https://huggingface.co/netoront | Neil Toronto
netoront
netoront
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models
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datasets
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https://huggingface.co/vishalsood | Vishal Sood
vishalsood
vishalsood
vishalsood
Research interests
Multi-modal, computer vision
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models
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datasets
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https://huggingface.co/jmagosta | John-Mark Agosta
jmagosta
jmagosta
Research interests
Bayesian methods
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models
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datasets
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https://huggingface.co/shikharmn | Mohan
shikharmn
shikharmn
Research interests
Extreme Classification, retrieval
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models
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datasets
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https://huggingface.co/Pokennat | Wang
Pokennat
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models
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https://huggingface.co/danielsc | Daniel Schneider
danielsc
danielsc
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None yet
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models 1
danielsc/bert_test
Automatic Speech Recognition • Updated Nov 16, 2022 • 3
datasets
None public yet |
https://huggingface.co/ssushant | Sushant Srivastava
ssushant
sgunadhya
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models
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https://huggingface.co/jeffra | 1
Jeff Rasley
jeffra
jeffra45
jeffra
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Papers 1
arxiv:2308.01320
models
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datasets
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https://huggingface.co/gok | Govind K
gok
t2govind
thegovind
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