modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
values | private bool 1
class | author stringlengths 2 38 ⌀ | config null | id stringlengths 4 112 | downloads float64 0 36.8M ⌀ | likes float64 0 712 ⌀ | library_name stringclasses 17
values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
gchhablani/wav2vec2-large-xlsr-mr | 5be04fd6f46264bd5de20c5e0b466ca687da6097 | 2021-07-06T05:10:15.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"mr",
"dataset:openslr",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | gchhablani | null | gchhablani/wav2vec2-large-xlsr-mr | 1 | null | transformers | 29,000 | ---
language: mr
datasets:
- openslr
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53 Marathi by Gunjan Chhablani
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... |
gdimino/voxpopuli_base_it_2 | ab2ffe2e0280c807a55f6f79ee37798369c5060d | 2022-05-23T13:46:22.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | gdimino | null | gdimino/voxpopuli_base_it_2 | 1 | null | transformers | 29,001 | Entry not found |
geninhu/roberta_large_ITPT_FP | 5cb29d591609111f9823a6d453b298829f79b6c9 | 2022-02-12T04:48:49.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | geninhu | null | geninhu/roberta_large_ITPT_FP | 1 | null | transformers | 29,002 | Entry not found |
geninhu/xls-asr-vi-40h-1B | 9d78f75c88f418ad886ebcddda2ec922ffe9b173 | 2022-03-23T18:27:57.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"vi",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"common-voice",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | geninhu | null | geninhu/xls-asr-vi-40h-1B | 1 | null | transformers | 29,003 | ---
license: apache-2.0
language:
- vi
tags:
- automatic-speech-recognition
- common-voice
- hf-asr-leaderboard
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: xls-asr-vi-40h-1B
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
da... |
ghadeermobasher/BC4CHEMD-Modified_BioM-ELECTRA-Base-Discriminator | 270cd4ef461fdedef10144e1e2ef10a4b6781939 | 2022-01-24T01:09:00.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Modified_BioM-ELECTRA-Base-Discriminator | 1 | null | transformers | 29,004 | Entry not found |
ghadeermobasher/BC4CHEMD_ImbalancedBioM-ELECTRA-Base-Discriminator | 40302123f67c03baa52d789beb110e667eafd003 | 2022-01-23T09:09:55.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD_ImbalancedBioM-ELECTRA-Base-Discriminator | 1 | null | transformers | 29,005 | Entry not found |
ghadeermobasher/BC5CDR-Disease_Modified_BioM-ELECTRA-Base-Discriminator | 6702c15b3c3d18356746d4f8cf08a4a2a7e44a2e | 2022-01-23T00:56:15.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Disease_Modified_BioM-ELECTRA-Base-Discriminator | 1 | null | transformers | 29,006 | Entry not found |
ghadeermobasher/BioNLP13CG-Chem-Modified_BioM-ELECTRA-Base-Discriminator | ca855276d1afddfc64f70ec0ea0e99a0950d325f | 2022-01-22T23:23:20.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BioNLP13CG-Chem-Modified_BioM-ELECTRA-Base-Discriminator | 1 | null | transformers | 29,007 | Entry not found |
ghadeermobasher/CRAFT-Chem-Modified_BioM-ELECTRA-Base-Discriminator | eeaead148e7e04f8d4edb7922f676c4ea73307ff | 2022-01-23T02:10:50.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/CRAFT-Chem-Modified_BioM-ELECTRA-Base-Discriminator | 1 | null | transformers | 29,008 | Entry not found |
ghhostboy/DialoGPT-medium-connorDBH3-1 | 7abfca2da8ed734e9cfbc6cc1489415e4f4975e4 | 2021-11-26T05:04:43.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ghhostboy | null | ghhostboy/DialoGPT-medium-connorDBH3-1 | 1 | null | transformers | 29,009 | ---
tags:
- conversational
---
# Connor |
ghofrani/common6 | eca7da668eb271998c14067f7e7c1928b21a8c99 | 2022-02-07T02:29:26.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"fa",
"dataset:common_voice",
"transformers",
"common_voice",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | ghofrani | null | ghofrani/common6 | 1 | null | transformers | 29,010 | ---
language:
- fa
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: common6
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... |
ghofrani/common7 | 9197cd4b03ac62816476789a661c7ccbafe25141 | 2022-02-04T01:32:24.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"fa",
"dataset:common_voice",
"transformers",
"mozilla-foundation/common_voice_7_0",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | ghofrani | null | ghofrani/common7 | 1 | null | transformers | 29,011 | ---
language:
- fa
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: common7
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probabl... |
ghofrani/common8 | c932f110d73bc6a59184a42b0772b9c4f9ad93d0 | 2022-02-08T23:51:46.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"fa",
"dataset:common_voice",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | ghofrani | null | ghofrani/common8 | 1 | null | transformers | 29,012 | ---
language:
- fa
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: common8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probabl... |
ghofrani/wghts | fbee6a05cbce5b6e140cd0d2228ddb44c98a919b | 2022-02-01T14:40:53.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | ghofrani | null | ghofrani/wghts | 1 | null | transformers | 29,013 | Entry not found |
ghofrani/xls-r-300m-fa | cd91fbf24b356c04eb76bbf2902371be0332ff4a | 2022-01-30T17:57:19.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | ghofrani | null | ghofrani/xls-r-300m-fa | 1 | null | transformers | 29,014 | Entry not found |
giganticode/bert-large-StackOverflow-comments_1M | 3d001537561adbeaf5eceea41652045e2e05bdad | 2021-10-25T13:05:34.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | giganticode | null | giganticode/bert-large-StackOverflow-comments_1M | 1 | null | transformers | 29,015 | Entry not found |
glasses/deit_tiny_patch16_224 | 644ed2bb334f3134610ed3e322f5f851d0151aff | 2021-04-22T18:44:18.000Z | [
"pytorch",
"arxiv:2010.11929",
"transformers"
] | null | false | glasses | null | glasses/deit_tiny_patch16_224 | 1 | null | transformers | 29,016 | # deit_tiny_patch16_224
Implementation of DeiT proposed in [Training data-efficient image
transformers & distillation through
attention](https://arxiv.org/pdf/2010.11929.pdf)
An attention based distillation is proposed where a new token is added
to the model, the [dist]{.title-ref} token.
![image](https://githu... |
glasses/densenet201 | 06d094765920f89ade917d7543408af6aeec1400 | 2021-12-01T07:49:34.000Z | [
"pytorch",
"arxiv:1608.06993",
"transformers"
] | null | false | glasses | null | glasses/densenet201 | 1 | null | transformers | 29,017 | # densenet201
Implementation of DenseNet proposed in [Densely Connected Convolutional
Networks](https://arxiv.org/abs/1608.06993)
Create a default models
``` {.sourceCode .}
DenseNet.densenet121()
DenseNet.densenet161()
DenseNet.densenet169()
DenseNet.densenet201()
```
Examples:
``` {.sourceCode .}
# ch... |
glasses/efficientnet_b2 | a7e47f80d02a476ad3c1bb93a6dbf0f9ed3b0e87 | 2021-12-01T08:08:06.000Z | [
"pytorch",
"arxiv:1905.11946",
"transformers"
] | null | false | glasses | null | glasses/efficientnet_b2 | 1 | null | transformers | 29,018 | # efficientnet_b2
Implementation of EfficientNet proposed in [EfficientNet: Rethinking
Model Scaling for Convolutional Neural
Networks](https://arxiv.org/abs/1905.11946)
The basic architecture ... |
glasses/efficientnet_lite0 | 053175a3c8d6b541c9c74a1824e204022c939267 | 2021-12-01T08:09:01.000Z | [
"pytorch",
"transformers"
] | null | false | glasses | null | glasses/efficientnet_lite0 | 1 | null | transformers | 29,019 | Entry not found |
glasses/regnetx_002 | 95112ce3a26a6732f545f89845acfffd10b40dc4 | 2021-11-30T20:25:54.000Z | [
"pytorch",
"arxiv:2003.13678",
"transformers"
] | null | false | glasses | null | glasses/regnetx_002 | 1 | null | transformers | 29,020 | # regnetx_002
Implementation of RegNet proposed in [Designing Network Design
Spaces](https://arxiv.org/abs/2003.13678)
The main idea is to start with a high dimensional search space and
iteratively reduce the search space by empirically apply constrains
based on the best performing models sampled by the current sea... |
glasses/regnetx_040 | ae9ad4f198ee581a5fabb74e1c12ab76aa4be8f3 | 2021-11-30T20:27:44.000Z | [
"pytorch",
"transformers"
] | null | false | glasses | null | glasses/regnetx_040 | 1 | null | transformers | 29,021 | Entry not found |
glasses/regnety_002 | e329d1379bc33fb17896af32a7b58cb8aaf4857c | 2021-12-01T07:45:22.000Z | [
"pytorch",
"arxiv:2003.13678",
"transformers"
] | null | false | glasses | null | glasses/regnety_002 | 1 | null | transformers | 29,022 | # regnety_002
Implementation of RegNet proposed in [Designing Network Design
Spaces](https://arxiv.org/abs/2003.13678)
The main idea is to start with a high dimensional search space and
iteratively reduce the search space by empirically apply constrains
based on the best performing models sampled by the current sea... |
glasses/regnety_008 | c11a1def96cd4792b8aac07fc5a56bb348a2f8e1 | 2021-12-01T07:46:29.000Z | [
"pytorch",
"arxiv:2003.13678",
"transformers"
] | null | false | glasses | null | glasses/regnety_008 | 1 | null | transformers | 29,023 | # regnety_008
Implementation of RegNet proposed in [Designing Network Design
Spaces](https://arxiv.org/abs/2003.13678)
The main idea is to start with a high dimensional search space and
iteratively reduce the search space by empirically apply constrains
based on the best performing models sampled by the current sea... |
glasses/regnety_032 | f81cec2a53473c19368a04807787b598b6761e5b | 2021-12-01T08:31:57.000Z | [
"pytorch",
"transformers"
] | null | false | glasses | null | glasses/regnety_032 | 1 | null | transformers | 29,024 | Entry not found |
glasses/regnety_064 | 9264ebae2f90665208a23f49cf3810bd1e56c504 | 2021-12-01T07:48:05.000Z | [
"pytorch",
"transformers"
] | null | false | glasses | null | glasses/regnety_064 | 1 | null | transformers | 29,025 | Entry not found |
glasses/resnet101 | 34e388c831995fd4fdde057d194a0cc4e8dece76 | 2021-11-30T20:10:49.000Z | [
"pytorch",
"transformers"
] | null | false | glasses | null | glasses/resnet101 | 1 | null | transformers | 29,026 | Entry not found |
glasses/resnet26d | 4256019677b10c45bdb178090012fe7a4287042a | 2021-11-30T20:07:33.000Z | [
"pytorch",
"dataset:imagenet",
"arxiv:1512.03385",
"arxiv:1812.01187",
"transformers",
"image-classification",
"license:apache-2.0"
] | image-classification | false | glasses | null | glasses/resnet26d | 1 | null | transformers | 29,027 | ---
license: apache-2.0
tags:
- image-classification
datasets:
- imagenet
---
# resnet26d
Implementation of ResNet proposed in [Deep Residual Learning for Image
Recognition](https://arxiv.org/abs/1512.03385)
``` python
ResNet.resnet18()
ResNet.resnet26()
ResNet.resnet34()
ResNet.resnet50()
ResNet.resnet101()
Re... |
glasses/vgg11 | 705c39d6a90328422a3ffac6e0399f07ba46ca29 | 2021-12-01T07:53:25.000Z | [
"pytorch",
"transformers"
] | null | false | glasses | null | glasses/vgg11 | 1 | null | transformers | 29,028 | # vgg11
Implementation of VGG proposed in [Very Deep Convolutional Networks For
Large-Scale Image Recognition](https://arxiv.org/pdf/1409.1556.pdf)
``` python
VGG.vgg11()
VGG.vgg13()
VGG.vgg16()
VGG.vgg19()
VGG.vgg11_bn()
VGG.vgg13_bn()
VGG.vgg16_bn()
VGG.vgg19_bn()
```
Please be aware that the [bn]{.title... |
glasses/vit_base_patch16_224 | b40b132218b4bc9b8ca2e440a6dec7c9f03b3ff1 | 2021-12-01T08:23:58.000Z | [
"pytorch",
"arxiv:2010.11929",
"transformers"
] | null | false | glasses | null | glasses/vit_base_patch16_224 | 1 | null | transformers | 29,029 | # vit_base_patch16_224
Implementation of Vision Transformer (ViT) proposed in [An Image Is
Worth 16x16 Words: Transformers For Image Recognition At
Scale](https://arxiv.org/pdf/2010.11929.pdf)
The following image from the authors shows the architecture.
![image](https://github.com/FrancescoSaverioZuppichini/glas... |
glasses/vit_huge_patch16_224 | 3fe73ba563e88fb761eb9602963b7ac89a09e430 | 2021-04-22T18:39:36.000Z | [
"pytorch",
"arxiv:2010.11929",
"transformers"
] | null | false | glasses | null | glasses/vit_huge_patch16_224 | 1 | null | transformers | 29,030 | # vit_huge_patch16_224
Implementation of Vision Transformer (ViT) proposed in [An Image Is
Worth 16x16 Words: Transformers For Image Recognition At
Scale](https://arxiv.org/pdf/2010.11929.pdf)
The following image from the authors shows the architecture.
![image](https://github.com/FrancescoSaverioZuppichini/glas... |
glasses/vit_huge_patch32_384 | 5fe4bb24cddf4b5bdb69ed43e6e79b0cc584d65e | 2021-04-22T18:41:37.000Z | [
"pytorch",
"arxiv:2010.11929",
"transformers"
] | null | false | glasses | null | glasses/vit_huge_patch32_384 | 1 | null | transformers | 29,031 | # vit_huge_patch32_384
Implementation of Vision Transformer (ViT) proposed in [An Image Is
Worth 16x16 Words: Transformers For Image Recognition At
Scale](https://arxiv.org/pdf/2010.11929.pdf)
The following image from the authors shows the architecture.
![image](https://github.com/FrancescoSaverioZuppichini/glas... |
gniemiec/mt5-small-finetuned-xsum | 1b7410ef252bdd00a331c8e7bd8dae2b1a0e0d19 | 2021-09-21T13:22:57.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | gniemiec | null | gniemiec/mt5-small-finetuned-xsum | 1 | null | transformers | 29,032 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-xsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xsum
type: xsum
args: default
metrics:
... |
gonced8/pegasus-qa | ea2408de301ae6f79c879572bf9569f57c24551b | 2021-05-17T15:46:42.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | gonced8 | null | gonced8/pegasus-qa | 1 | null | transformers | 29,033 | Entry not found |
goodjw/gpt-trinity-poem | 6aeec8ffb04bde11334d1c61be1061f685ee7d4f | 2021-12-07T15:38:01.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | goodjw | null | goodjw/gpt-trinity-poem | 1 | null | transformers | 29,034 | Entry not found |
google/multiberts-seed_0-step_0k | 93e2ee33230f548b15bebc8c936f0cb5ef17b37a | 2021-11-05T23:37:18.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_0k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_0k | 1 | null | transformers | 29,035 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_0k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 0k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained with
... |
google/multiberts-seed_0-step_1000k | 6d16dba114c3c91aecee3526ffbaac84f7f5e90f | 2021-11-06T00:08:04.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_1000k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_1000k | 1 | null | transformers | 29,036 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_1000k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 1000k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_0-step_100k | 144b03be7bcb188b4c32b1b1d1b4588e3492de07 | 2021-11-05T23:45:48.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_100k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_100k | 1 | null | transformers | 29,037 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_100k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 100k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_0-step_1100k | f33754924915b9b4adabb88c9a0258fddd4cbe48 | 2021-11-06T00:09:45.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_1100k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_1100k | 1 | null | transformers | 29,038 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_1100k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 1100k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_0-step_1300k | f084998a12cb66a1791644c2cf77695daba9bd1f | 2021-11-06T00:13:16.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_1300k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_1300k | 1 | null | transformers | 29,039 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_1300k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 1300k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_0-step_1600k | 00d5c4d9a1a5711b6a508db1110c666cd6596e1d | 2021-11-06T00:18:39.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_1600k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_1600k | 1 | null | transformers | 29,040 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_1600k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 1600k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_0-step_1800k | f813aa4d9f8d566efaf4e400383ed20684d4bfe5 | 2021-11-06T00:22:02.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_1800k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_1800k | 1 | null | transformers | 29,041 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_1800k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 1800k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_0-step_180k | 0419b80e6129e38ecf0bf4380daa01de5055dbf3 | 2021-11-05T23:52:40.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_180k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_180k | 1 | null | transformers | 29,042 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_180k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 180k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_0-step_1900k | c6e05e75cb669fe8874deec83d3145a5203dd18c | 2021-11-06T00:23:42.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_1900k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_1900k | 1 | null | transformers | 29,043 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_1900k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 1900k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_0-step_20k | 8c40009a439f3e7f9c5844f1707a4a1c46197b99 | 2021-11-05T23:38:42.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_20k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_20k | 1 | null | transformers | 29,044 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_20k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 20k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained wit... |
google/multiberts-seed_0-step_40k | 49397d8a5abe7a220e7adc5d9e10ded4c44f9c9b | 2021-11-05T23:40:21.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_40k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_40k | 1 | null | transformers | 29,045 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_40k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 40k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained wit... |
google/multiberts-seed_0-step_500k | 7a3142802965daf1d830a8d7ef20fc07bb52a388 | 2021-11-05T23:59:35.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_500k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_500k | 1 | null | transformers | 29,046 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_500k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 500k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_0-step_600k | 49bd26b107a6edfa4ce67849cc7ec0d7316cd586 | 2021-11-06T00:01:17.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_600k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_600k | 1 | null | transformers | 29,047 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_600k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 600k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_0-step_60k | 9ab74d84068694cf164abb169c44cb647421caf4 | 2021-11-05T23:42:02.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_60k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_60k | 1 | null | transformers | 29,048 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_60k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 60k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained wit... |
google/multiberts-seed_0-step_80k | f9acf7e8fa6c803090b5cea8607ba4070bdc5d90 | 2021-11-05T23:44:05.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_80k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_80k | 1 | null | transformers | 29,049 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_80k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 80k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained wit... |
google/multiberts-seed_0-step_900k | 08a690ae07a6f913cc6cb17f29868c9c4dd166ee | 2021-11-06T00:06:27.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_0",
"multiberts-seed_0-step_900k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_0-step_900k | 1 | null | transformers | 29,050 | ---
language: en
tags:
- multiberts
- multiberts-seed_0
- multiberts-seed_0-step_900k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 0, Step 900k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_1-step_0k | 6461363270fb78b7322d003717392f2d37cee00f | 2021-11-06T00:33:14.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_0k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_0k | 1 | null | transformers | 29,051 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_0k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 0k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained with
... |
google/multiberts-seed_1-step_1200k | 3a77ec97c76fc286f29ade9f215502f02650fcf5 | 2021-11-06T01:06:43.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_1200k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_1200k | 1 | null | transformers | 29,052 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_1200k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 1200k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_1-step_140k | 499f45fb52ea6add6e78d94fff7e266badfaed97 | 2021-11-06T00:45:09.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_140k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_140k | 1 | null | transformers | 29,053 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_140k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 140k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_1-step_1500k | 1a3503430d9a9a8da7b10c76179e14e5c4e2570e | 2021-11-06T01:12:25.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_1500k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_1500k | 1 | null | transformers | 29,054 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_1500k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 1500k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_1-step_1700k | 695b433d43d194151958b2169a4540658fc93c99 | 2021-11-06T01:15:38.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_1700k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_1700k | 1 | null | transformers | 29,055 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_1700k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 1700k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_1-step_180k | 35dd95299fc753e4033fa32fe8c6b2bcf5b81a8d | 2021-11-06T00:48:31.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_180k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_180k | 1 | null | transformers | 29,056 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_180k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 180k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_1-step_1900k | 262516350928ae9dec915630550813a9dc8f9a57 | 2021-11-06T01:18:58.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_1900k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_1900k | 1 | null | transformers | 29,057 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_1900k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 1900k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_1-step_200k | fe825b2d10adb9032c3e11a8ae8b87ec42332d22 | 2021-11-06T00:50:10.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_200k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_200k | 1 | null | transformers | 29,058 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_200k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 200k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_1-step_40k | a17edd76b8276a4c356ad5047c2cb9cd6b07df30 | 2021-11-06T00:36:44.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_40k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_40k | 1 | null | transformers | 29,059 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_40k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 40k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained wit... |
google/multiberts-seed_1-step_60k | d04485e97c640635e9cf3c7745bb52030322c9ac | 2021-11-06T00:38:22.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_60k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_60k | 1 | null | transformers | 29,060 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_60k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 60k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained wit... |
google/multiberts-seed_1-step_800k | 872e5525d3d7be281f9bc93c1f742aa260f31352 | 2021-11-06T01:00:02.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_800k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_800k | 1 | null | transformers | 29,061 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_800k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 800k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_1-step_80k | 2fbd54bd29bf5f852a2b11291b1abfcb94f8a639 | 2021-11-06T00:40:03.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_80k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_80k | 1 | null | transformers | 29,062 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_80k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 80k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained wit... |
google/multiberts-seed_1-step_900k | 7b6943f6e294fd3ac46ed077caaf8334037ff7ac | 2021-11-06T01:01:37.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_900k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_900k | 1 | null | transformers | 29,063 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_900k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 900k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_2-step_0k | ab05d88d267ac301e64c70d013e2e6338a1237d3 | 2021-11-06T01:22:15.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_0k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_0k | 1 | null | transformers | 29,064 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_0k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 0k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained with
... |
google/multiberts-seed_2-step_1000k | 105f9db751598695dd7eaeed63725b9efbb9e0e1 | 2021-11-06T01:52:35.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_1000k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_1000k | 1 | null | transformers | 29,065 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_1000k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 1000k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_2-step_100k | cc8a45e7eba051555b0c5bb120c58b649c6418f6 | 2021-11-06T01:30:23.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_100k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_100k | 1 | null | transformers | 29,066 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_100k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 100k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_2-step_1200k | 0e05c382414b22f5c51557ba45d293f835e9986a | 2021-11-06T01:55:55.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_1200k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_1200k | 1 | null | transformers | 29,067 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_1200k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 1200k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_2-step_1300k | 6a38204007db2912a86f328722c57c68db67eb62 | 2021-11-06T01:57:33.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_1300k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_1300k | 1 | null | transformers | 29,068 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_1300k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 1300k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_2-step_1400k | 44ffa412e617f369da9eb563164a63e58987c3b9 | 2021-11-06T01:59:29.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_1400k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_1400k | 1 | null | transformers | 29,069 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_1400k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 1400k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_2-step_140k | e99322fb0182d9b09b83f2a3dc71354e487ca7f6 | 2021-11-06T01:33:52.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_140k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_140k | 1 | null | transformers | 29,070 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_140k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 140k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_2-step_1600k | aec87149bd36cc2f96362ae1dba788ca4e7ceaeb | 2021-11-06T02:02:54.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_1600k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_1600k | 1 | null | transformers | 29,071 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_1600k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 1600k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_2-step_160k | 44e9c347054762780a8411764945d69d62a84219 | 2021-11-06T01:35:33.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_160k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_160k | 1 | null | transformers | 29,072 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_160k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 160k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_2-step_180k | f7b697673292fce623a90e39276cdc65dfd59d55 | 2021-11-06T01:37:26.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_180k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_180k | 1 | null | transformers | 29,073 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_180k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 180k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_2-step_2000k | 1cc140c003bde233583f2327732bdc67a7c21921 | 2021-11-06T02:09:39.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_2000k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_2000k | 1 | null | transformers | 29,074 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_2000k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 2000k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_2-step_200k | 9954496f11bd4f1a4d01942882e1afe65baf8580 | 2021-11-06T01:39:13.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_200k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_200k | 1 | null | transformers | 29,075 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_200k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 200k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_2-step_20k | 94eb1b42727d309989b3d8e844265476b731360e | 2021-11-06T01:23:46.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_20k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_20k | 1 | null | transformers | 29,076 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_20k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 20k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained wit... |
google/multiberts-seed_2-step_300k | 9e59e4f7a4319d8c9f9cc20d35db47fcb13521c6 | 2021-11-06T01:41:00.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_300k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_300k | 1 | null | transformers | 29,077 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_300k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 300k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_2-step_60k | bf921cbb2ee6b4b15754aced9621a58721683376 | 2021-11-06T01:26:52.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_60k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_60k | 1 | null | transformers | 29,078 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_60k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 60k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained wit... |
google/multiberts-seed_2-step_80k | 357087afb94435b7103ee7a6cbdcae25560a0fbd | 2021-11-06T01:28:37.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_80k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_80k | 1 | null | transformers | 29,079 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_80k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 80k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained wit... |
google/multiberts-seed_3-step_1100k | 579ac6108a669bcd56be551c62c7fe74d064e78a | 2021-11-06T02:44:24.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_1100k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_1100k | 1 | null | transformers | 29,080 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_1100k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 1100k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_3-step_120k | 7ff57537769b040df909eec73177756f92dd8f09 | 2021-11-06T02:21:41.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_120k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_120k | 1 | null | transformers | 29,081 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_120k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 120k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_3-step_1300k | 27d87c2a3260d29ab2f22af202474b09207e85d3 | 2021-11-06T02:47:47.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_1300k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_1300k | 1 | null | transformers | 29,082 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_1300k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 1300k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_3-step_140k | b1a50e2a7689591312e588933ebda5e73a6c08e8 | 2021-11-06T02:23:23.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_140k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_140k | 1 | null | transformers | 29,083 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_140k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 140k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_3-step_1600k | 63595f348ec87ad66e90206178c3dc29384edbee | 2021-11-06T02:52:59.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_1600k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_1600k | 1 | null | transformers | 29,084 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_1600k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 1600k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_3-step_160k | 1c3777526b3c8c7bf3d4adf58fbe1b203e0dfe5f | 2021-11-06T02:25:08.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_160k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_160k | 1 | null | transformers | 29,085 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_160k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 160k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_3-step_1800k | 79e8bf2e88f3c53999cf5735d04ecf9da237e600 | 2021-11-06T02:56:28.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_1800k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_1800k | 1 | null | transformers | 29,086 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_1800k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 1800k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained... |
google/multiberts-seed_3-step_300k | 5b1ab57da645324d774f98e6f5405cecb5725137 | 2021-11-06T02:30:30.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_300k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_300k | 1 | null | transformers | 29,087 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_300k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 300k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/multiberts-seed_3-step_500k | 62c7693d9ce239001fb56496def19eb35ef28741 | 2021-11-06T02:33:55.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_500k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_500k | 1 | null | transformers | 29,088 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_500k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 500k
MultiBERTs is a collection of checkpoints and a statistical library to support
robust research on BERT. We provide 25 BERT-base models trained w... |
google/realm-orqa-wq-reader | 008372f1b5f82570d9aa3fbdcf9daebad99f5175 | 2022-01-05T18:34:18.000Z | [
"pytorch",
"realm",
"en",
"transformers",
"license:apache-2.0"
] | null | false | google | null | google/realm-orqa-wq-reader | 1 | null | transformers | 29,089 | ---
language: en
license: apache-2.0
---
# realm-orqa-wq-reader
## Model description
The REALM checkpoint finetuned with WebQuestions(WQ) dataset, converted from the TF checkpoint provided by Google Language.
The original paper, code, and checkpoints can be found [here](https://github.com/google-research... |
google/t5-efficient-base-dl2 | 669370fa0dd9e00e767dadb5c64e49431bf80850 | 2022-02-15T10:52:03.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-base-dl2 | 1 | null | transformers | 29,090 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-BASE-DL2 (Deep-Narrow version)
T5-Efficient-BASE-DL2 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architecture]... |
google/t5-efficient-large-dl16 | 92619bb9e48f051aa1cd1585eace4a100800e289 | 2022-02-15T10:54:45.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-large-dl16 | 1 | null | transformers | 29,091 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-LARGE-DL16 (Deep-Narrow version)
T5-Efficient-LARGE-DL16 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architect... |
google/t5-efficient-large-dl2 | f50cf9800a03f439795c271941c22f548168d93e | 2022-02-15T10:54:48.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-large-dl2 | 1 | null | transformers | 29,092 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-LARGE-DL2 (Deep-Narrow version)
T5-Efficient-LARGE-DL2 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architectur... |
google/t5-efficient-large-dl4 | 162579abc37ee3c5f574e9cd96b4b5b745fe5098 | 2022-02-15T10:54:55.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-large-dl4 | 1 | null | transformers | 29,093 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-LARGE-DL4 (Deep-Narrow version)
T5-Efficient-LARGE-DL4 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architectur... |
google/t5-efficient-large-el12 | 6f49b98a07f37871f260280460c80d5f9cda53ff | 2022-02-15T10:55:04.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-large-el12 | 1 | null | transformers | 29,094 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-LARGE-EL12 (Deep-Narrow version)
T5-Efficient-LARGE-EL12 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architect... |
google/t5-efficient-large-nl4 | 72ab9d2ca787b192142604bf6c10f9ac5cd3650d | 2022-02-15T10:56:01.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-large-nl4 | 1 | null | transformers | 29,095 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-LARGE-NL4 (Deep-Narrow version)
T5-Efficient-LARGE-NL4 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architectur... |
google/t5-efficient-small-dl16 | eaa13145f881420bc381ece1aa771aae12323baa | 2022-02-15T10:56:26.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-small-dl16 | 1 | null | transformers | 29,096 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-SMALL-DL16 (Deep-Narrow version)
T5-Efficient-SMALL-DL16 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architect... |
google/t5-efficient-small-dl4 | faa4050d1e76a56f215174951aca49d1e798ccfd | 2022-02-15T10:56:33.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-small-dl4 | 1 | null | transformers | 29,097 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-SMALL-DL4 (Deep-Narrow version)
T5-Efficient-SMALL-DL4 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architectur... |
google/t5-efficient-small-el16-dl1 | 3661535eec72f5414bebf59180737ad608983e9c | 2022-02-15T10:56:52.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-small-el16-dl1 | 1 | null | transformers | 29,098 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-SMALL-EL16-DL1 (Deep-Narrow version)
T5-Efficient-SMALL-EL16-DL1 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model a... |
google/t5-efficient-small-el16-dl8 | 1e982f8c4e38976d95f252e4fd1b6e8a70fdf19a | 2022-02-15T10:57:02.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-small-el16-dl8 | 1 | null | transformers | 29,099 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-SMALL-EL16-DL8 (Deep-Narrow version)
T5-Efficient-SMALL-EL16-DL8 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model a... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.