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google/multiberts-seed_1-step_1300k | 28b3f72993adf1630ea00eb7349c38475ec96fa0 | 2021-11-06T01:09:00.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_1300k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_1300k | 0 | null | transformers | 33,700 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_1300k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, 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_1-step_1400k | 7e065fe8433972b2ddf3cd6071fe5d514e8dc05f | 2021-11-06T01:10:37.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
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"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_1400k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_1400k | 0 | null | transformers | 33,701 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_1400k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, 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_1-step_160k | 02a32d57955d4cf3e44ec91a6fd9962a9ff16ea9 | 2021-11-06T00:46:51.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_160k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_160k | 0 | null | transformers | 33,702 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_160k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, 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_1-step_2000k | dfafd03933d611663dec5a61d30a737f7e5faad1 | 2021-11-06T01:20:40.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_2000k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_2000k | 0 | null | transformers | 33,703 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_2000k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, 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_1-step_20k | f8c877a826d02d8f22f59ea95c77aff185291f2b | 2021-11-06T00:35:00.000Z | [
"pytorch",
"tf",
"bert",
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"en",
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"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_20k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_20k | 0 | null | transformers | 33,704 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_20k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, 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_1-step_300k | 5dddb088d8b24fa9013422f39d3887c0384366f6 | 2021-11-06T00:51:52.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_300k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_300k | 0 | null | transformers | 33,705 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_300k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, 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_1-step_400k | 645ec8c20712555148257eb8afff0875365d34f1 | 2021-11-06T00:53:30.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_400k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_400k | 0 | null | transformers | 33,706 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_400k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, Step 400k
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_500k | 8c684b92e68ef2d96200a79645ed71f638dffb9d | 2021-11-06T00:55:08.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_1",
"multiberts-seed_1-step_500k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_1-step_500k | 0 | null | transformers | 33,707 | ---
language: en
tags:
- multiberts
- multiberts-seed_1
- multiberts-seed_1-step_500k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 1, 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_2-step_120k | d1ec7b1c61149bdd8885a41f64dfb79620778130 | 2021-11-06T01:32:10.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_120k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_120k | 0 | null | transformers | 33,708 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_120k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, 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_2-step_1500k | ad90294d5e639e76152ead1be37eb0c3c2e5635e | 2021-11-06T02:01:10.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_1500k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_1500k | 0 | null | transformers | 33,709 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_1500k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, 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_2-step_1700k | afeffdf077c00c9d409ae953c4d65d0b4ad7d094 | 2021-11-06T02:04:32.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_1700k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_1700k | 0 | null | transformers | 33,710 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_1700k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, 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_2-step_40k | 7dc384d97d7abf996dce73b40997f954bc4852c8 | 2021-11-06T01:25:19.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_40k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_40k | 0 | null | transformers | 33,711 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_40k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, 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_2-step_700k | e777305c5c65394cce343ba54b278ad085a0c14a | 2021-11-06T01:47:40.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_700k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_700k | 0 | null | transformers | 33,712 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_700k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, Step 700k
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_900k | 61454e2e9d8c976a51ff1bb5bf1642ee16820407 | 2021-11-06T01:50:59.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_2",
"multiberts-seed_2-step_900k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_2-step_900k | 0 | null | transformers | 33,713 | ---
language: en
tags:
- multiberts
- multiberts-seed_2
- multiberts-seed_2-step_900k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 2, 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_3-step_0k | 79af0d6725e8655289ffc1c2c0df08b6a6d6bb87 | 2021-11-06T02:11:21.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_0k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_0k | 0 | null | transformers | 33,714 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_0k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_1000k | 90a64816745fa9552a986b551ceb8526ae9257f6 | 2021-11-06T02:42:38.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_1000k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_1000k | 0 | null | transformers | 33,715 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_1000k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_100k | 8c48fb8df6c0c9bf6c61868ca5cf0ae7582cebba | 2021-11-06T02:19:57.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_100k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_100k | 0 | null | transformers | 33,716 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_100k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_1400k | 9bc709c9a0447f5fedc4e395e8e6c40f292239ff | 2021-11-06T02:49:26.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_1400k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_1400k | 0 | null | transformers | 33,717 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_1400k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_1500k | 45faee9c1a4ad8f99fcc21332a9fb37ac65303ac | 2021-11-06T02:51:12.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_1500k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_1500k | 0 | null | transformers | 33,718 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_1500k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_1700k | 6a8b8a359eece85ea7ed6266fe15a32abf8e0e53 | 2021-11-06T02:54:41.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_1700k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_1700k | 0 | null | transformers | 33,719 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_1700k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_180k | 1ccb42e14b4de3b38a48bee9477d91cb2beeab36 | 2021-11-06T02:26:56.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_180k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_180k | 0 | null | transformers | 33,720 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_180k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_2000k | 7e7ed87d44b939b02cc84e9232232a11932d6d0d | 2021-11-06T02:59:57.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_2000k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_2000k | 0 | null | transformers | 33,721 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_2000k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_20k | 3431b4bd3d0677b9913e05d682ec77d306ed7005 | 2021-11-06T02:12:56.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_20k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_20k | 0 | null | transformers | 33,722 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_20k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_400k | 8c330c0fbc41dc4dd765443300960cb91a5313cb | 2021-11-06T02:32:13.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_400k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_400k | 0 | null | transformers | 33,723 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_400k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 400k
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_40k | 625906c7b9a3528bafbea24510e9fbd4c0127956 | 2021-11-06T02:14:40.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_40k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_40k | 0 | null | transformers | 33,724 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_40k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_600k | 7525ec30ba323e5cf4423ded1b4b37037a19b71e | 2021-11-06T02:35:46.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_600k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_600k | 0 | null | transformers | 33,725 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_600k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_700k | 9ad38cdff5857eef4f17b771da45873cd342263b | 2021-11-06T02:37:35.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_700k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_700k | 0 | null | transformers | 33,726 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_700k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, Step 700k
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_800k | b85b33a307994811a3a524e618d8dc9b5527b0bd | 2021-11-06T02:39:21.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_800k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_800k | 0 | null | transformers | 33,727 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_800k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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_3-step_900k | 6e43a1edbce15b90c60a9359f87559fb007ff922 | 2021-11-06T02:40:58.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"arxiv:2106.16163",
"arxiv:1908.08962",
"transformers",
"multiberts",
"multiberts-seed_3",
"multiberts-seed_3-step_900k",
"license:apache-2.0"
] | null | false | google | null | google/multiberts-seed_3-step_900k | 0 | null | transformers | 33,728 | ---
language: en
tags:
- multiberts
- multiberts-seed_3
- multiberts-seed_3-step_900k
license: apache-2.0
---
# MultiBERTs, Intermediate Checkpoint - Seed 3, 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/realm-orqa-wq-openqa | 2f280ce6d6b92847268c1323100be02a24b859da | 2022-01-05T17:02:11.000Z | [
"pytorch",
"realm",
"en",
"transformers",
"license:apache-2.0"
] | null | false | google | null | google/realm-orqa-wq-openqa | 0 | null | transformers | 33,729 | ---
language: en
license: apache-2.0
---
# realm-orqa-wq-openqa
## Model description
The REALM checkpoint finetuned with Web Questions(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-researc... |
google/t5-efficient-large-nl8 | 77e362e1e37a050c31add35799663972b14bb17e | 2022-02-15T10:56:04.000Z | [
"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-nl8 | 0 | null | transformers | 33,730 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-LARGE-NL8 (Deep-Narrow version)
T5-Efficient-LARGE-NL8 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-el2 | 697793ea51cca730ade7a89d3fe57c5300ba9e95 | 2022-02-15T10:53:59.000Z | [
"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-el2 | 0 | null | transformers | 33,731 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-SMALL-EL2 (Deep-Narrow version)
T5-Efficient-SMALL-EL2 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-nl4 | 2b287a6794a3504771f03200bda4425f00e47948 | 2022-02-15T10:49:31.000Z | [
"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-nl4 | 0 | null | transformers | 33,732 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-SMALL-NL4 (Deep-Narrow version)
T5-Efficient-SMALL-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-nl8 | c6dc278e2d99d838a91115bcda6b3f0507313a2e | 2022-02-15T10:54:17.000Z | [
"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-nl8 | 0 | null | transformers | 33,733 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-SMALL-NL8 (Deep-Narrow version)
T5-Efficient-SMALL-NL8 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/tapas-mini | 320846884d4778b2a91a3e6c06869dbfc4c55f5b | 2021-11-29T10:11:56.000Z | [
"pytorch",
"tf",
"tapas",
"feature-extraction",
"en",
"arxiv:2004.02349",
"arxiv:2010.00571",
"transformers",
"TapasModel",
"license:apache-2.0"
] | feature-extraction | false | google | null | google/tapas-mini | 0 | null | transformers | 33,734 | ---
language: en
tags:
- tapas
- TapasModel
license: apache-2.0
---
# TAPAS mini model
This model has 2 versions which can be used. The latest version, which is the default one, corresponds to the `tapas_inter_masklm_mini_reset` checkpoint of the [original Github repository](https://github.com/google-research/tapas... |
google/tapas-small-masklm | bc1f8ddabd0d30094b6727779326fcbae181dc52 | 2021-11-29T14:17:10.000Z | [
"pytorch",
"tf",
"tapas",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | google | null | google/tapas-small-masklm | 0 | 1 | transformers | 33,735 | This model corresponds to **tapas_masklm_small_reset** of the [original repository](https://github.com/google-research/tapas).
Here's how you can use it:
```python
from transformers import TapasTokenizer, TapasForMaskedLM
import pandas as pd
import torch
tokenizer = TapasTokenizer.from_pretrained("google/tapas-small... |
gorkemgoknar/wav2vec2-base-100h-with-lm-turkish | 2ceaea2b2d7e6d9c402fb63ba3beff7bb552d0db | 2022-01-13T10:50:18.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | gorkemgoknar | null | gorkemgoknar/wav2vec2-base-100h-with-lm-turkish | 0 | null | transformers | 33,736 | Entry not found |
graviraja/distilbert-base-uncased-finetuned-squad | 38217bb0db47d8cdf74964e882fb5f6fae7c7dd1 | 2021-12-13T18:14:08.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | graviraja | null | graviraja/distilbert-base-uncased-finetuned-squad | 0 | null | transformers | 33,737 | Entry not found |
groar/gpt-neo-1.3B-finetuned-escape | 320cc1f76a32d1dd824d2ef0405770f2b2c4695e | 2022-02-06T18:14:00.000Z | [
"pytorch",
"tensorboard",
"gpt_neo",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | groar | null | groar/gpt-neo-1.3B-finetuned-escape | 0 | null | transformers | 33,738 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: gpt-neo-1.3B-finetuned-escape
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt-n... |
grumpy/weights_bert_mlm_epoch50 | e9ce4d745aa7eaa9485b4d64794741f190ea1541 | 2021-05-19T17:41:43.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | grumpy | null | grumpy/weights_bert_mlm_epoch50 | 0 | null | transformers | 33,739 | Entry not found |
gsliwoski/ketobot | f64d60a00143c7154056e6c3316f5df8f69cd541 | 2021-06-04T19:59:12.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | gsliwoski | null | gsliwoski/ketobot | 0 | null | transformers | 33,740 | ---
tags:
- conversational
---
# My Awesome Model |
gumgo91/IUPAC_BERT | 771cfc5589838c68ac2577c8e335b688f5208d62 | 2021-11-29T02:13:44.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | gumgo91 | null | gumgo91/IUPAC_BERT | 0 | null | transformers | 33,741 | Entry not found |
gwkim22/5050_b_disc | 9a88716864b9efceb298ce3ebf1d40df6834509f | 2021-07-02T05:16:01.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | gwkim22 | null | gwkim22/5050_b_disc | 0 | null | transformers | 33,742 | "5050_base_test"
|
gwkim22/5050_s_disc | acf97d4563af30ccc6318bf0d8d239b927d7f3fe | 2021-06-28T07:10:45.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | gwkim22 | null | gwkim22/5050_s_disc | 0 | null | transformers | 33,743 | "test_5050"
|
gwkim22/domain_b_disc | 60ec13efaee5866580556545f6bf5fce1257a5bc | 2021-07-01T07:37:39.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | gwkim22 | null | gwkim22/domain_b_disc | 0 | null | transformers | 33,744 | "domain_base_test"
|
gwkim22/domain_s_disc | 0fd3740014e87f52e94f2c607cec6c285b8fa805 | 2021-06-28T06:57:14.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | gwkim22 | null | gwkim22/domain_s_disc | 0 | null | transformers | 33,745 | "test_domain_only"
|
gwkim22/general_s_disc | e15cdaed61af1d822b55a190f5de9d799f74c382 | 2021-06-28T08:17:11.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | gwkim22 | null | gwkim22/general_s_disc | 0 | null | transformers | 33,746 | "general_test"
|
hadxu/xlm-roberta-base-finetuned-panx-de | 2de23bcc37510441d6da2191b062e8b5059b262d | 2022-02-11T07:51:36.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | hadxu | null | hadxu/xlm-roberta-base-finetuned-panx-de | 0 | null | transformers | 33,747 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- name:... |
haji2438/bertweet-base-SNS_BRANDS_100k | 8ca5da32a2c82197064629b7f35460ef30470b15 | 2022-01-16T02:23:32.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | haji2438 | null | haji2438/bertweet-base-SNS_BRANDS_100k | 0 | null | transformers | 33,748 | ---
tags:
- generated_from_trainer
model-index:
- name: bertweet-base-SNS_BRANDS_100k
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bertweet-base-SNS_BRANDS_... |
haji2438/bertweet-base-SNS_BRANDS_200k | 021471fe93f06484d4335e98465ef74e36e33763 | 2022-01-24T08:55:26.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | haji2438 | null | haji2438/bertweet-base-SNS_BRANDS_200k | 0 | null | transformers | 33,749 | ---
tags:
- generated_from_trainer
model-index:
- name: bertweet-base-SNS_BRANDS_200k
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bertweet-base-SNS_BRANDS_... |
hama/barney_bot | f2195c206d7634343cddc34300bade0a9ea53c2b | 2021-09-05T22:16:26.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | hama | null | hama/barney_bot | 0 | null | transformers | 33,750 | ---
tags:
- conversational
---
# BArney DialoGPT Model |
hamishs/mBART50-en-az-tr1 | 57275847da1b7685bc2d8c9789fea239c4cddf70 | 2021-05-30T13:47:22.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | hamishs | null | hamishs/mBART50-en-az-tr1 | 0 | null | transformers | 33,751 | # mBart50 for Zeroshot Azerbaijani-Turkish Translation
The mBart50 model is finetuned on English-Azerbaijani-Turkish translation leaving Az<->Tr as zeroshot directions. The method of tied representations is used to enforce alignment between semantically equivalent sentences leading to superior zeroshot performance. |
hanmaroo/xlm_roberta_large_korquad_v1 | da2939dd41ad7740fd59c7a7d7d029d9652784bf | 2021-05-13T13:06:12.000Z | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | hanmaroo | null | hanmaroo/xlm_roberta_large_korquad_v1 | 0 | null | transformers | 33,752 | Entry not found |
hansgun/model_test2 | 1cdbb24071cc4afac1ce2e3c477ad91471284601 | 2021-05-19T18:20:34.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | hansgun | null | hansgun/model_test2 | 0 | null | transformers | 33,753 | Entry not found |
harish/BERTBaseClone-2-10000 | 6638287dffe1b9116ab570d1189407ae39322c78 | 2021-05-19T18:24:51.000Z | [
"pytorch",
"jax",
"bert",
"transformers"
] | null | false | harish | null | harish/BERTBaseClone-2-10000 | 0 | null | transformers | 33,754 | Entry not found |
harish/CxGBERT-2-10000 | 5c950869d54d284b1bcf48ecab28031ebc7d0660 | 2021-05-19T18:30:31.000Z | [
"pytorch",
"jax",
"bert",
"transformers"
] | null | false | harish | null | harish/CxGBERT-2-10000 | 0 | null | transformers | 33,755 | Entry not found |
harish/ENAllE5 | 805b54ced2bda17667367c3a6fae26792c771061 | 2021-06-19T15:33:21.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | harish | null | harish/ENAllE5 | 0 | null | transformers | 33,756 | Entry not found |
harish/preTrained-xlm-pt-e5-select | d80dae18522cbffa944969156eafbee8da238b8a | 2021-05-03T00:12:17.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | harish | null | harish/preTrained-xlm-pt-e5-select | 0 | null | transformers | 33,757 | Entry not found |
harish/preTrained-xlm-pt-e8-select | 7896b4eca42c64e6881be4b3c1c2a4202b6dc206 | 2021-05-03T12:32:44.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | harish | null | harish/preTrained-xlm-pt-e8-select | 0 | null | transformers | 33,758 | Entry not found |
harish/xlm-roberta-base-ID | 97c295892ac496b4437cfa01c05afc9afad8596f | 2021-05-02T23:37:55.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | harish | null | harish/xlm-roberta-base-ID | 0 | null | transformers | 33,759 | Entry not found |
harislania/urdu-speech-to-text | ed234a2f28fb620f41fa2a55501e89bb7b5ac9e8 | 2022-02-02T13:52:47.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | harislania | null | harislania/urdu-speech-to-text | 0 | null | transformers | 33,760 | Entry not found |
hark99/distilbert-base-uncased-finetuned-squad | d9c61a365f071c50419416c49837b4d4c96742d2 | 2022-02-14T23:05:56.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | hark99 | null | hark99/distilbert-base-uncased-finetuned-squad | 0 | null | transformers | 33,761 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... |
hdo03/clip-finetune | f0271a758b158639e2cffd813535c7ff65d80c86 | 2021-10-30T22:31:51.000Z | [
"pytorch",
"clip",
"feature-extraction",
"transformers"
] | feature-extraction | false | hdo03 | null | hdo03/clip-finetune | 0 | null | transformers | 33,762 | Entry not found |
heima/mymodel | 5922138ea0abe69d2c64af4578a071c8339cdbed | 2021-11-04T07:38:33.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | heima | null | heima/mymodel | 0 | null | transformers | 33,763 | Entry not found |
heliart/Verdict_Recognizer | 1924b3ca64bfed7a12aadc7b563f9e90e3cf1523 | 2021-08-27T04:33:17.000Z | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | heliart | null | heliart/Verdict_Recognizer | 0 | null | transformers | 33,764 | Entry not found |
hendrixcosta/hendrixcosta | 83a18d12a672e17a0fc5a9988ddc5fec0deb307b | 2021-05-19T18:59:50.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | hendrixcosta | null | hendrixcosta/hendrixcosta | 0 | null | transformers | 33,765 | Entry not found |
henryoce/DialoGPT-small-rick-and-morty | 2db96a913352ad6f086b0726e8f44bcf7dadb439 | 2021-08-25T04:37:09.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | henryoce | null | henryoce/DialoGPT-small-rick-and-morty | 0 | null | transformers | 33,766 | ---
tags:
- conversational
---
# Rick and Morty DialoGPT Model |
hetpandya/t5-small-quora | 3bd598193fe71a61491fefabafe562e768a33b35 | 2021-07-13T12:37:51.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:quora",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | hetpandya | null | hetpandya/t5-small-quora | 0 | null | transformers | 33,767 | ---
language: en
datasets:
- quora
---
# T5-small for paraphrase generation
Google's T5-small fine-tuned on [Quora Question Pairs](https://huggingface.co/datasets/quora) dataset for paraphrasing.
## Model in Action 🚀
```python
from transformers import T5ForConditionalGeneration, T5Tokenizer
tokenizer = T5Tokenizer... |
hgharibi/wav2vec2-xls-r-300m-fa-colab | 535b08131de858b38335383905a8018a0870cf5e | 2022-02-08T05:54:06.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | hgharibi | null | hgharibi/wav2vec2-xls-r-300m-fa-colab | 0 | null | transformers | 33,768 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-300m-fa-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove th... |
hgiyt/ar-mbertmodel-monotok | 73b23b18a7ebe92eea4da4931089066d805e85b6 | 2021-05-19T19:26:40.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | hgiyt | null | hgiyt/ar-mbertmodel-monotok | 0 | null | transformers | 33,769 | Entry not found |
hgiyt/ko-mbertmodel-monotok | 9ba7849f0142b9babe2f3a6d0f441fe0e9ebee9e | 2021-05-19T19:47:41.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | hgiyt | null | hgiyt/ko-mbertmodel-monotok | 0 | null | transformers | 33,770 | Entry not found |
hgiyt/ko-monomodel-monotok | abe641eece053857f08bcd376f4b3fc33638b85b | 2021-05-19T19:49:45.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | hgiyt | null | hgiyt/ko-monomodel-monotok | 0 | null | transformers | 33,771 | Entry not found |
himanshu-dutta/pycoder-gpt2 | c254eafe4f73bd3cf7eef483ef7076ff9b6a4a18 | 2021-05-23T11:56:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | himanshu-dutta | null | himanshu-dutta/pycoder-gpt2 | 0 | null | transformers | 33,772 | <br />
<div align="center">
<img src="https://raw.githubusercontent.com/himanshu-dutta/pycoder/master/docs/pycoder-logo-p.png">
<br/>
<img alt="Made With Python" src="http://ForTheBadge.com/images/badges/made-with-python.svg" height=28 style="display:inline; height:28px;" />
<img alt="Medium" src="https://img.shield... |
hiraki/wav2vec2-base-timit-demo-colab | 0077453c26d015e8bfd5bb254c0e0f6c2b3414c0 | 2021-12-24T10:51:35.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | hiraki | null | hiraki/wav2vec2-base-timit-demo-colab | 0 | null | transformers | 33,773 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2... |
hireddivas/DialoGPT-small-scully | fc4f7ad624bc315220473c62bbe84d9002f329fb | 2021-10-30T19:15:03.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | hireddivas | null | hireddivas/DialoGPT-small-scully | 0 | null | transformers | 33,774 | ---
tags:
- conversational
---
#GPT-2 model trained on Dana Scully's dialog. |
hizella/aBERT_test | b57185e7c6cfec78f9d5eaa6c9ec84d3908558a5 | 2021-11-24T14:41:34.000Z | [
"pytorch",
"tensorboard",
"albert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | hizella | null | hizella/aBERT_test | 0 | null | transformers | 33,775 | Entry not found |
hksenpai/DialoGPT-small-rick | f08509488e3036da4364b2ce2728cc1c01329010 | 2021-08-27T14:12:08.000Z | [
"pytorch",
"converstional"
] | null | false | hksenpai | null | hksenpai/DialoGPT-small-rick | 0 | null | null | 33,776 | ---
tags:
- converstional
--- |
hkunlp/T5_base_finetune_kvret_glmp2 | 4fb6bb8a8b817d7af86d4cbe153027ed5f1b6a17 | 2021-12-20T17:11:10.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/T5_base_finetune_kvret_glmp2 | 0 | null | transformers | 33,777 | Entry not found |
hkunlp/T5_large_prefix_all_tasks_2upsample2 | b6a772b134c0b959536928a2800163476f67195c | 2022-01-18T07:15:22.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/T5_large_prefix_all_tasks_2upsample2 | 0 | 2 | transformers | 33,778 | This is the ckpt of prefix-tuning model we trained on 21 tasks using a upsampling temp of 2.
Note: The prefix module is large due to the fact we keep the re-param weight and didn't compress it to make it more original and extendable for researchers. |
hkunlp/from_all_T5_base_prefix_cosql_with_cell_value2 | dc823df732e5dd699614ebdb358aceb51d5b6e3f | 2021-12-20T08:12:07.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_cosql_with_cell_value2 | 0 | null | transformers | 33,779 | Entry not found |
hkunlp/from_all_T5_base_prefix_d2t_2upsample2 | b51bba236d66e053a34c7eea7d297f45478ecf2b | 2021-12-20T16:59:51.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_d2t_2upsample2 | 0 | null | transformers | 33,780 | Entry not found |
hkunlp/from_all_T5_base_prefix_fact_2upsample2 | 11f0a4f70ea517779b88805e2d0d24227c489867 | 2021-12-20T16:57:00.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_fact_2upsample2 | 0 | null | transformers | 33,781 | Entry not found |
hkunlp/from_all_T5_base_prefix_fetaqa2 | 1b3f81c7045f018420bbd7b144aab53eb1fab809 | 2021-12-20T14:49:00.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_fetaqa2 | 0 | null | transformers | 33,782 | Entry not found |
hkunlp/from_all_T5_base_prefix_feverous2 | fc819dcf733544aa1076e95677622e2da38b8096 | 2021-12-19T00:01:45.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_feverous2 | 0 | null | transformers | 33,783 | Entry not found |
hkunlp/from_all_T5_base_prefix_hybridqa2 | 040ed4434d758aaf7696616156e90fe581b0571e | 2021-12-19T00:09:10.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_hybridqa2 | 0 | null | transformers | 33,784 | Entry not found |
hkunlp/from_all_T5_base_prefix_multiwoz2 | 6dabc72651612863af3b0e3c2f8d0b77b3cc8471 | 2021-12-20T08:11:11.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_multiwoz2 | 0 | null | transformers | 33,785 | Entry not found |
hkunlp/from_all_T5_base_prefix_qa_2upsample2 | b3808d42ccb376293abad8bca467bdfe36fcfba9 | 2021-12-20T16:57:58.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_qa_2upsample2 | 0 | null | transformers | 33,786 | Entry not found |
hkunlp/from_all_T5_base_prefix_sparc_with_cell_value2 | eb3a545b1596a5a67ce8858d5b307f2ced4fe94f | 2021-12-18T23:58:30.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_sparc_with_cell_value2 | 0 | null | transformers | 33,787 | Entry not found |
hkunlp/from_all_T5_base_prefix_spider_with_cell_value2 | 5934fa102da42434f91fd9a76e88d5d57708dacb | 2021-12-18T23:50:18.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_spider_with_cell_value2 | 0 | null | transformers | 33,788 | Entry not found |
hkunlp/from_all_T5_base_prefix_sqa2 | c1d2ca91852bcc380eb119b1da9b4248999386bc | 2021-12-19T00:26:48.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_sqa2 | 0 | null | transformers | 33,789 | Entry not found |
hkunlp/from_all_T5_base_prefix_tab_fact2 | c4798af3133ce4b87ac5eb1fd0ad8ae79ac078b3 | 2021-12-19T00:03:49.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_tab_fact2 | 0 | null | transformers | 33,790 | Entry not found |
hkunlp/from_all_T5_base_prefix_totto2 | 8f6e300ec2142775de0c004fd7a8833c06b32ebd | 2021-12-20T16:57:08.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_totto2 | 0 | null | transformers | 33,791 | Entry not found |
hkunlp/from_all_T5_base_prefix_webqsp2 | eb273d20dc6ea7c02a9743cf455355c588ed9d8b | 2021-12-19T00:04:27.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_webqsp2 | 0 | null | transformers | 33,792 | Entry not found |
hkunlp/from_all_T5_base_prefix_wikisql2 | e80c6e09898126914b57892c7b03fb4c62eacd6c | 2021-12-19T00:58:45.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_wikisql2 | 0 | null | transformers | 33,793 | Entry not found |
hkunlp/from_all_T5_base_prefix_wikitq2 | f9c7368ddd12fcd91c16fc708970e177ca06c2fb | 2021-12-20T08:11:11.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_base_prefix_wikitq2 | 0 | 1 | transformers | 33,794 | Entry not found |
hkunlp/from_all_T5_large_prefix_compwebq2 | c43ea314d5db041fa7397bbdb7c30f84c47db35b | 2022-01-11T18:17:44.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_large_prefix_compwebq2 | 0 | null | transformers | 33,795 | Entry not found |
hkunlp/from_all_T5_large_prefix_dart2 | fd25a9d95fbcee2e855e405e161cbd9cb6bc4e04 | 2022-01-11T16:29:53.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_large_prefix_dart2 | 0 | null | transformers | 33,796 | Entry not found |
hkunlp/from_all_T5_large_prefix_fetaqa2 | 54d5efb357d54d22b949ca3b779159eb7a301a1c | 2022-01-11T17:23:27.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_large_prefix_fetaqa2 | 0 | null | transformers | 33,797 | Entry not found |
hkunlp/from_all_T5_large_prefix_feverous2 | 108bdfbe1ac1d2675c87c5221d616f50dc896ea8 | 2022-01-11T16:30:12.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_large_prefix_feverous2 | 0 | null | transformers | 33,798 | Entry not found |
hkunlp/from_all_T5_large_prefix_hybridqa2 | ec5da27e36e1db52a96e845f5d894aa8eaf2f8ac | 2022-01-11T17:23:31.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | hkunlp | null | hkunlp/from_all_T5_large_prefix_hybridqa2 | 0 | null | transformers | 33,799 | Entry not found |
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