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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
sidkhuntia/harrypotter | 321c79e8b949529e11d31f8d55d7a1111081ca6c | 2021-11-03T07:37:55.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | sidkhuntia | null | sidkhuntia/harrypotter | 1 | null | transformers | 30,300 | ---
tags:
- conversational
---
#Harry Potter |
sienog/autonlp-mt5-xlsum-25085641 | 5d360a94fe2edc8f7be09875cfe866036632cb81 | 2021-10-22T17:20:30.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"unk",
"dataset:sienog/autonlp-data-mt5-xlsum",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | sienog | null | sienog/autonlp-mt5-xlsum-25085641 | 1 | null | transformers | 30,301 | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP 🤗"
datasets:
- sienog/autonlp-data-mt5-xlsum
co2_eq_emissions: 11.166602089650883
---
# Model Trained Using AutoNLP
- Problem type: Summarization
- Model ID: 25085641
- CO2 Emissions (in grams): 11.166602089650883
## Validation Metrics
- Loss: 1.17347... |
sifclairhelix/DialoGPT-small-harrypot | a4463f378dbf45ce3b5d908ac48ae0e1cc3730a1 | 2021-09-03T17:12:42.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | sifclairhelix | null | sifclairhelix/DialoGPT-small-harrypot | 1 | null | transformers | 30,302 | ---
tags:
- conversational
---
#Harry Potter DialoGPT Model |
simonmun/COHA1830s | 12bd719f619557089a59c861189ea686f79d333e | 2021-05-20T21:32:06.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | simonmun | null | simonmun/COHA1830s | 1 | null | transformers | 30,303 | Entry not found |
simonmun/COHA1850s | 0e2a9adfec93a145cc7899ae5e26e2f2054b5dc5 | 2021-05-20T21:33:55.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | simonmun | null | simonmun/COHA1850s | 1 | null | transformers | 30,304 | Entry not found |
simonmun/COHA1990s | 1eba6574b90547be0825626f3c41b39aedec3849 | 2021-05-20T21:48:59.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | simonmun | null | simonmun/COHA1990s | 1 | null | transformers | 30,305 | Entry not found |
skillzzzzzy/bengberto | 85cb3cf37789e55a669384e6207785eae9ef9950 | 2021-11-14T13:10:48.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | skillzzzzzy | null | skillzzzzzy/bengberto | 1 | null | transformers | 30,306 | Entry not found |
skillzzzzzy/hindberto | 117d222ace4e3d38a49a28c39868a2b52251b2c7 | 2021-11-14T12:46:31.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | skillzzzzzy | null | skillzzzzzy/hindberto | 1 | null | transformers | 30,307 | Entry not found |
skillzzzzzy/tamilberto | 8d630a2b38e1b39fc37fa8902bb6250dfed36465 | 2021-11-14T13:20:33.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | skillzzzzzy | null | skillzzzzzy/tamilberto | 1 | null | transformers | 30,308 | Entry not found |
skimai/electra-small-spanish | 570aa7ca5f34392c7083ff7b28fec41f471c39e9 | 2020-05-08T19:16:48.000Z | [
"pytorch",
"transformers"
] | null | false | skimai | null | skimai/electra-small-spanish | 1 | null | transformers | 30,309 | Entry not found |
skylord/greek_lsr_1 | 915042637ab60382985f73db8286abbcb0eb9cf0 | 2021-03-26T05:37:48.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"el",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | skylord | null | skylord/greek_lsr_1 | 1 | null | transformers | 30,310 | ---
language: el
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Greek XLSR Wav2Vec2 Large 53
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Co... |
smartpim/k2t_ru_02 | d82ad6fcc250c336bf35a2a5f4d75cb8f169b16d | 2022-02-13T17:49:03.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | smartpim | null | smartpim/k2t_ru_02 | 1 | null | transformers | 30,311 | Entry not found |
smeoni/deberta-base-clrp | 3c761d923d168ba37a69f8eeaf9301bec59e1324 | 2021-06-23T09:45:15.000Z | [
"pytorch",
"deberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | smeoni | null | smeoni/deberta-base-clrp | 1 | null | transformers | 30,312 | Entry not found |
smeoni/distilroberta-base-clrp | 40e9f755daa43abd29971440136512a279c38b37 | 2021-06-23T10:04:08.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | smeoni | null | smeoni/distilroberta-base-clrp | 1 | null | transformers | 30,313 | Entry not found |
smeoni/electra-base-discriminator-clrp | 98921a37d0c19a8fac4997d00811b721c2a08070 | 2021-06-23T10:11:13.000Z | [
"pytorch",
"electra",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | smeoni | null | smeoni/electra-base-discriminator-clrp | 1 | null | transformers | 30,314 | Entry not found |
smeoni/roberta-base-clrp | d5c3f37d870d79e62e7a6418d0f251d6f837b304 | 2021-06-21T21:29:20.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | smeoni | null | smeoni/roberta-base-clrp | 1 | null | transformers | 30,315 | Entry not found |
smonah/distilbert-base-uncased-finetuned-squad | a7f386a61e464d7967ddc64146fc125c3e5f783a | 2021-12-20T15:43:44.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | smonah | null | smonah/distilbert-base-uncased-finetuned-squad | 1 | null | transformers | 30,316 | Entry not found |
softcatala/wav2vec2-large-100k-voxpopuli-catala | fb77f7231b0688f6e004a03012ebf59162bacd16 | 2022-02-08T02:20:32.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"ca",
"dataset:common_voice",
"dataset:parlament_parla",
"transformers",
"audio",
"speech",
"speech-to-text",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | softcatala | null | softcatala/wav2vec2-large-100k-voxpopuli-catala | 1 | null | transformers | 30,317 | ---
language: ca
datasets:
- common_voice
- parlament_parla
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- speech-to-text
license: apache-2.0
model-index:
- name: Catalan VoxPopuli Wav2Vec2 Large
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
d... |
softcatala/wav2vec2-large-xlsr-catala | 4e8ceed125344298e04a2a5d9ce1645f7fc3d4b9 | 2022-02-08T00:23:02.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"ca",
"dataset:common_voice",
"dataset:parlament_parla",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | softcatala | null | softcatala/wav2vec2-large-xlsr-catala | 1 | null | transformers | 30,318 | ---
language: ca
datasets:
- common_voice
- parlament_parla
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Catalan XLSR Wav2Vec2 Large
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... |
soheeyang/dpr-ctx_encoder-single-trivia-base | 59536a5f080a63f7572dd1a377ba74343ba2b5a7 | 2021-04-15T14:48:50.000Z | [
"pytorch",
"tf",
"dpr",
"arxiv:2004.04906",
"transformers"
] | null | false | soheeyang | null | soheeyang/dpr-ctx_encoder-single-trivia-base | 1 | null | transformers | 30,319 | # DPRContextEncoder for TriviaQA
## dpr-ctx_encoder-single-trivia-base
Dense Passage Retrieval (`DPR`)
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih, [Dense Passage Retrieval for Open-Domain Question Answering](https://arxiv.org/abs/2004.04906), EMNLP 20... |
soikit/distilgpt2-finetuned-wikitext2 | bdfe6fe3da5588252ad1229041ae882c2188feea | 2021-10-19T13:23:40.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | soikit | null | soikit/distilgpt2-finetuned-wikitext2 | 1 | null | transformers | 30,320 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wikitext2
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. -->
# dist... |
soroush/t5-finetuned-lesson-summarizer | 7c02073d028f85d137e7fcc044c120f18f1beb7f | 2020-07-26T23:56:22.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | soroush | null | soroush/t5-finetuned-lesson-summarizer | 1 | null | transformers | 30,321 | Entry not found |
sourabharsh/wav2vec2_rajya_sabha | d85272efdb2b5bff710192f1b861f05bd15eed9e | 2021-07-14T08:52:04.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | sourabharsh | null | sourabharsh/wav2vec2_rajya_sabha | 1 | null | transformers | 30,322 | Entry not found |
speeqo/wav2vec2-base-100h-with-lm | e44a4ad122a2cd7379c028268dceddbfd2f7d9fb | 2022-02-04T13:19:45.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | speeqo | null | speeqo/wav2vec2-base-100h-with-lm | 1 | null | transformers | 30,323 | Entry not found |
sravn/e2e-qg-scibert | fd310d5518f88058049a8769875ccf71e07e0e49 | 2021-07-09T17:18:08.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sravn | null | sravn/e2e-qg-scibert | 1 | null | transformers | 30,324 | Entry not found |
sravya/ELECTRA_SD_V4 | 568f62c010a6ad791a1a743a2f000fd014097bf3 | 2021-06-10T03:57:37.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | sravya | null | sravya/ELECTRA_SD_V4 | 1 | null | transformers | 30,325 | Entry not found |
sripadhstudy/100_SDB_TAxxL_average_768 | d56e5c76491e18165d712cee382bb387f8998a1f | 2021-06-05T15:37:11.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | sripadhstudy | null | sripadhstudy/100_SDB_TAxxL_average_768 | 1 | null | transformers | 30,326 | Entry not found |
sripadhstudy/500_SAB_TAxxL_truncate_3L_h2048_original | 946222972eb1c2abb818a82d2e7935cd7c1673a5 | 2021-06-21T02:14:44.000Z | [
"pytorch"
] | null | false | sripadhstudy | null | sripadhstudy/500_SAB_TAxxL_truncate_3L_h2048_original | 1 | null | null | 30,327 | Entry not found |
sripadhstudy/500_SAB_TAxxL_truncate_3_layers | 8071699f05c3cd2d4a9ca003e323c83567d6968f | 2021-06-14T15:51:21.000Z | [
"pytorch"
] | null | false | sripadhstudy | null | sripadhstudy/500_SAB_TAxxL_truncate_3_layers | 1 | null | null | 30,328 | Entry not found |
sripadhstudy/500_SAB_TAxxL_truncate_768 | 53c7ea2e22a385fd8bbd63f92eb65e852e96d1ab | 2021-06-10T14:18:20.000Z | [
"pytorch",
"albert",
"transformers"
] | null | false | sripadhstudy | null | sripadhstudy/500_SAB_TAxxL_truncate_768 | 1 | null | transformers | 30,329 | Entry not found |
sripadhstudy/500_SDB_TAxxL_truncate_768 | 1430e9156ea1b083e7e09dc1f33b2ac7203f177e | 2021-06-09T06:41:53.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | sripadhstudy | null | sripadhstudy/500_SDB_TAxxL_truncate_768 | 1 | null | transformers | 30,330 | Entry not found |
sripadhstudy/50_SDB_TAxxL_average_768 | 556e2c629347b6e5b47c5c3f20d94ba1459d49a4 | 2021-06-04T16:40:02.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | sripadhstudy | null | sripadhstudy/50_SDB_TAxxL_average_768 | 1 | null | transformers | 30,331 | Entry not found |
sripadhstudy/50_SDB_TAxxL_truncate_768 | 80884863a4ccc6e59874b94e19c21d1a020b7354 | 2021-06-04T14:04:52.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | sripadhstudy | null | sripadhstudy/50_SDB_TAxxL_truncate_768 | 1 | null | transformers | 30,332 | Entry not found |
ssardorf/t5-meta-desc | eb65651a5daf618d28d00fd87c99287c2ecaa573 | 2022-02-23T10:20:38.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | ssardorf | null | ssardorf/t5-meta-desc | 1 | null | transformers | 30,333 | Entry not found |
sshasnain/wav2vec2-xls-r-300m-bangla-command | 7d4c690f2f489dc03800b205d2fbf783abfc87ff | 2022-02-11T13:10:44.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"Bengali",
"dataset:custom",
"transformers",
"bn",
"audio",
"speech",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | sshasnain | null | sshasnain/wav2vec2-xls-r-300m-bangla-command | 1 | 1 | transformers | 30,334 | ---
language: Bengali
datasets:
- custom
metrics:
- wer
tags:
- bn
- audio
- automatic-speech-recognition
- speech
license: apache-2.0
model-index:
- name: wav2vec2-xls-r-300m-bangla-command
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: custom
... |
sshasnain/wav2vec2-xls-r-timit-trainer | 84c7218d70ee6572afccf263cb00268e17aef785 | 2022-01-04T14:49:41.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | sshasnain | null | sshasnain/wav2vec2-xls-r-timit-trainer | 1 | null | transformers | 30,335 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-xls-r-timit-trainer
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. -->
# wav2ve... |
sshleifer/bb12 | cce97c9cc9c33f4e8f526adc24ea507a7ce273f0 | 2020-09-19T04:19:18.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/bb12 | 1 | null | transformers | 30,336 | Entry not found |
sshleifer/distill-mbart-en-ro-12-9 | 15f4fb7fd9c24278d59e7633890266a9b8b113bb | 2020-09-10T15:56:54.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/distill-mbart-en-ro-12-9 | 1 | null | transformers | 30,337 | Entry not found |
sshleifer/distill-pegasus-xsum-12-12 | 4dbb7c6ff132bd06e23cfa0f47b31903934af290 | 2020-10-14T16:12:31.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/distill-pegasus-xsum-12-12 | 1 | null | transformers | 30,338 | Entry not found |
sshleifer/student_blarge_12_3 | f978ee12042f257f34ccf74359c17ad78fb547c9 | 2021-06-14T08:27:56.000Z | [
"pytorch",
"jax",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/student_blarge_12_3 | 1 | null | transformers | 30,339 | Entry not found |
sshleifer/student_cnn_6_6 | e4ba27bbc3fab4a008b6ea4227553b783fa73b99 | 2021-06-14T09:20:09.000Z | [
"pytorch",
"jax",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/student_cnn_6_6 | 1 | null | transformers | 30,340 | Entry not found |
sshleifer/student_enro_avg_12_2 | cdd1b7dd2d3503d693ee17f83c674c21b95f343f | 2020-07-18T20:16:27.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/student_enro_avg_12_2 | 1 | null | transformers | 30,341 | Entry not found |
sshleifer/student_mbart_en_ro_12_2 | 94db2dac0fc4eec3c55b85332f6380dd272b71b2 | 2020-07-15T15:14:51.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/student_mbart_en_ro_12_2 | 1 | null | transformers | 30,342 | Entry not found |
sshleifer/student_mbart_en_ro_12_4 | f066f26f13622f2f2f3420bddf2ab95c345f4329 | 2020-07-15T15:14:51.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/student_mbart_en_ro_12_4 | 1 | null | transformers | 30,343 | Entry not found |
sshleifer/student_mbart_en_ro_12_9 | f26597750669e435fd9a347abab259fae8fd84c6 | 2020-07-15T15:26:58.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/student_mbart_en_ro_12_9 | 1 | null | transformers | 30,344 | Entry not found |
sshleifer/student_mbart_en_ro_6_6 | d7c7c98f7402df5605eb419cfb222ed88d2dc0b2 | 2020-07-15T15:27:55.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/student_mbart_en_ro_6_6 | 1 | null | transformers | 30,345 | Entry not found |
sshleifer/student_xsum_12_4 | 735c4736e93ef4933b118fe6cb7e57d88643224e | 2021-06-14T09:48:49.000Z | [
"pytorch",
"jax",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/student_xsum_12_4 | 1 | null | transformers | 30,346 | Entry not found |
stanleychu2/blenderbot_user_simulator_both_domain | dd2d3b458dcc7942cf75775c0e6d7b68288d2538 | 2021-12-13T03:02:53.000Z | [
"pytorch",
"blenderbot-small",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | stanleychu2 | null | stanleychu2/blenderbot_user_simulator_both_domain | 1 | null | transformers | 30,347 | Entry not found |
stasvmk/honeymad_gpt_ru_v0_01 | bd4fa834eddcbd0c334e21b1a66fcb15da31d6a9 | 2022-01-10T07:41:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | stasvmk | null | stasvmk/honeymad_gpt_ru_v0_01 | 1 | null | transformers | 30,348 | Entry not found |
stefan-it/electra-base-gc4-64k-0-cased-generator | 65041ed72d818a6d48f95fa33de1d7e9f5b55cdc | 2021-04-30T22:25:17.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"de",
"dataset:german-nlp-group/german_common_crawl",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | stefan-it | null | stefan-it/electra-base-gc4-64k-0-cased-generator | 1 | null | transformers | 30,349 | ---
language: de
license: mit
datasets:
- german-nlp-group/german_common_crawl
widget:
- text: "Heute ist ein [MASK] Tag"
---
# GC4LM: A Colossal (Biased) language model for German
This repository presents a colossal (and biased) language model for German trained on the recently released
["German colossal, clean Commo... |
stefan-it/electra-base-gc4-64k-100000-cased-discriminator | 64e25b530b14ac2ad49096ef8ddbddd31dca3f6b | 2021-04-30T22:33:21.000Z | [
"pytorch",
"tf",
"electra",
"pretraining",
"de",
"dataset:german-nlp-group/german_common_crawl",
"transformers",
"license:mit"
] | null | false | stefan-it | null | stefan-it/electra-base-gc4-64k-100000-cased-discriminator | 1 | null | transformers | 30,350 | ---
language: de
license: mit
datasets:
- german-nlp-group/german_common_crawl
---
# GC4LM: A Colossal (Biased) language model for German
This repository presents a colossal (and biased) language model for German trained on the recently released
["German colossal, clean Common Crawl corpus"](https://german-nlp-group.g... |
stefan-it/electra-base-gc4-64k-100000-cased-generator | 7ff661bb959f8602514f6082d9ae340c15b5c9e1 | 2021-05-01T11:16:57.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"de",
"dataset:german-nlp-group/german_common_crawl",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | stefan-it | null | stefan-it/electra-base-gc4-64k-100000-cased-generator | 1 | null | transformers | 30,351 | ---
language: de
license: mit
datasets:
- german-nlp-group/german_common_crawl
widget:
- text: "Heute ist ein [MASK] Tag"
---
# GC4LM: A Colossal (Biased) language model for German
This repository presents a colossal (and biased) language model for German trained on the recently released
["German colossal, clean Commo... |
stefan-it/electra-base-gc4-64k-1000000-cased-discriminator | b278041fa3a92926a1a2b1615dbfae3ed0d820b9 | 2021-05-01T11:13:39.000Z | [
"pytorch",
"tf",
"electra",
"pretraining",
"de",
"dataset:german-nlp-group/german_common_crawl",
"transformers",
"license:mit"
] | null | false | stefan-it | null | stefan-it/electra-base-gc4-64k-1000000-cased-discriminator | 1 | null | transformers | 30,352 | ---
language: de
license: mit
datasets:
- german-nlp-group/german_common_crawl
---
# GC4LM: A Colossal (Biased) language model for German
This repository presents a colossal (and biased) language model for German trained on the recently released
["German colossal, clean Common Crawl corpus"](https://german-nlp-group.g... |
stefan-it/electra-base-gc4-64k-200000-cased-generator | b3ba2685533ecf3b54487b91de619a0dabba4247 | 2021-05-01T11:17:26.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"de",
"dataset:german-nlp-group/german_common_crawl",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | stefan-it | null | stefan-it/electra-base-gc4-64k-200000-cased-generator | 1 | null | transformers | 30,353 | ---
language: de
license: mit
datasets:
- german-nlp-group/german_common_crawl
widget:
- text: "Heute ist ein [MASK] Tag"
---
# GC4LM: A Colossal (Biased) language model for German
This repository presents a colossal (and biased) language model for German trained on the recently released
["German colossal, clean Commo... |
stefan-it/electra-base-gc4-64k-300000-cased-discriminator | 3faca80e0f2f6030986f69c8bdf4e7cd893d1236 | 2021-04-30T22:38:04.000Z | [
"pytorch",
"tf",
"electra",
"pretraining",
"de",
"dataset:german-nlp-group/german_common_crawl",
"transformers",
"license:mit"
] | null | false | stefan-it | null | stefan-it/electra-base-gc4-64k-300000-cased-discriminator | 1 | null | transformers | 30,354 | ---
language: de
license: mit
datasets:
- german-nlp-group/german_common_crawl
---
# GC4LM: A Colossal (Biased) language model for German
This repository presents a colossal (and biased) language model for German trained on the recently released
["German colossal, clean Common Crawl corpus"](https://german-nlp-group.g... |
stefan-it/electra-base-gc4-64k-400000-cased-generator | 101c8a47e9fc7ee9352fb1840ace7fd2652bbb0d | 2021-05-01T11:19:45.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"de",
"dataset:german-nlp-group/german_common_crawl",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | stefan-it | null | stefan-it/electra-base-gc4-64k-400000-cased-generator | 1 | null | transformers | 30,355 | ---
language: de
license: mit
datasets:
- german-nlp-group/german_common_crawl
widget:
- text: "Heute ist ein [MASK] Tag"
---
# GC4LM: A Colossal (Biased) language model for German
This repository presents a colossal (and biased) language model for German trained on the recently released
["German colossal, clean Commo... |
stefan-it/electra-base-gc4-64k-600000-cased-generator | 86bdcbde93aad61014a15ee6a494110f13136fce | 2021-05-01T11:21:31.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"de",
"dataset:german-nlp-group/german_common_crawl",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | stefan-it | null | stefan-it/electra-base-gc4-64k-600000-cased-generator | 1 | null | transformers | 30,356 | ---
language: de
license: mit
datasets:
- german-nlp-group/german_common_crawl
widget:
- text: "Heute ist ein [MASK] Tag"
---
# GC4LM: A Colossal (Biased) language model for German
This repository presents a colossal (and biased) language model for German trained on the recently released
["German colossal, clean Commo... |
stefan-it/electra-base-gc4-64k-800000-cased-generator | 7c5f973f8c832d7619ccdd5cf014c8e6ad659d91 | 2021-05-01T11:23:30.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"de",
"dataset:german-nlp-group/german_common_crawl",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | stefan-it | null | stefan-it/electra-base-gc4-64k-800000-cased-generator | 1 | null | transformers | 30,357 | ---
language: de
license: mit
datasets:
- german-nlp-group/german_common_crawl
widget:
- text: "Heute ist ein [MASK] Tag"
---
# GC4LM: A Colossal (Biased) language model for German
This repository presents a colossal (and biased) language model for German trained on the recently released
["German colossal, clean Commo... |
subbareddyiiit/roberta_csl_gold8k | 9f95fabc28733076106616113b184015f0c41c94 | 2021-05-20T22:01:14.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | subbareddyiiit | null | subbareddyiiit/roberta_csl_gold8k | 1 | null | transformers | 30,358 | hello
|
subham92/translation_model_by_subham | d8815c1e69f8d512e942ad978c4529a1def80c80 | 2021-01-18T10:29:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | subham92 | null | subham92/translation_model_by_subham | 1 | null | transformers | 30,359 | ---
language:
- fi
- en
tags:
- translation
license: apache-2.0
---
|
suksun1412/wangchanberta-ner-2 | c0efd489881e8fb4432ed1b21885d42364e176c7 | 2022-02-15T04:18:16.000Z | [
"pytorch",
"camembert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | suksun1412 | null | suksun1412/wangchanberta-ner-2 | 1 | null | transformers | 30,360 | Entry not found |
sultan/ArabicTransformer-large | 3ec88c13ec3f6a530fe7d707ee98ed1b61015c2c | 2021-12-05T17:06:51.000Z | [
"pytorch",
"funnel",
"feature-extraction",
"arxiv:2006.03236",
"transformers"
] | feature-extraction | false | sultan | null | sultan/ArabicTransformer-large | 1 | 1 | transformers | 30,361 | ArabicTransformer Large model (B8-8-8 with decoder)
<b>Paper</b> : ArabicTransformer: Efficient Large Arabic Language Model with Funnel Transformer and ELECTRA Objective (EMNLP21)
<b>Abstract</b>
Pre-training Transformer-based models such as BERT and ELECTRA on a collection of Arabic corpora, demonstrated by both Ar... |
sultan/ArabicTransformer-small-encoder | e3c60548d1c4c48b8e0c00307ba6239c8a6a32e9 | 2021-10-08T06:25:01.000Z | [
"pytorch",
"funnel",
"feature-extraction",
"transformers"
] | feature-extraction | false | sultan | null | sultan/ArabicTransformer-small-encoder | 1 | null | transformers | 30,362 | Entry not found |
sultan/ArabicTransformer-small | 1c91581e016d56e6130db642369bcebbf9e15774 | 2021-12-05T17:07:06.000Z | [
"pytorch",
"funnel",
"feature-extraction",
"arxiv:2006.03236",
"transformers"
] | feature-extraction | false | sultan | null | sultan/ArabicTransformer-small | 1 | null | transformers | 30,363 | ArabicTransformer small model (B4-4-4 with decoder)
<b>Paper</b> : ArabicTransformer: Efficient Large Arabic Language Model with Funnel Transformer and ELECTRA Objective (EMNLP21)
<b>Abstract</b>
Pre-training Transformer-based models such as BERT and ELECTRA on a collection of Arabic corpora, demonstrated by both Ar... |
sunhao666/chi-sum | 82302bbf76608ec11443ca607a7de83d860073f2 | 2021-05-19T17:32:16.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | sunhao666 | null | sunhao666/chi-sum | 1 | null | transformers | 30,364 | |
sunitha/FT_AQG_Configs | 3310b7e725e58308e349186a3102294af0006b8b | 2022-02-09T13:04:55.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | sunitha | null | sunitha/FT_AQG_Configs | 1 | null | transformers | 30,365 | Entry not found |
sunitha/distilbert-base-uncased-3feb-2022-finetuned-squad | 490a38cc542d79832c605c589292becadbc87bbc | 2022-02-03T05:06:27.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | sunitha | null | sunitha/distilbert-base-uncased-3feb-2022-finetuned-squad | 1 | null | transformers | 30,366 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-3feb-2022-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, ... |
sunitha/output_files | 55bd18518478d2464c792bd4bbc0bf2ec99a3958 | 2021-12-13T13:57:03.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | sunitha | null | sunitha/output_files | 1 | null | transformers | 30,367 | Question Answering - Build - 1 |
suojianhua/itcast-nlp-base | 9e7d2ac06ffc293e161154193c0b41721327baaa | 2022-02-14T07:00:55.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | suojianhua | null | suojianhua/itcast-nlp-base | 1 | null | transformers | 30,368 | Entry not found |
sv/gpt2-finetuned-nft-shakes-seuss | 973c2c01f4bc74e349b6b7c76b1ef6e9301cfbe5 | 2021-09-06T19:35:40.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | sv | null | sv/gpt2-finetuned-nft-shakes-seuss | 1 | null | transformers | 30,369 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: gpt2-finetuned-nft-shakes-seuss
results:
- task:
name: Causal Language Modeling
type: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. Y... |
sv/gpt2-nft-poetry | 2b40c797ba2d0ebe7babc3759f6ca7caf8516b7a | 2021-09-08T16:15:47.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | sv | null | sv/gpt2-nft-poetry | 1 | null | transformers | 30,370 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: gpt2-nft-poetry
results:
- task:
name: Causal Language Modeling
type: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... |
svsokol/opus-mt-ru-en-finetuned-en-to-ru | 446f5053100008550f7f264c0edad97b98637978 | 2021-12-14T19:53:09.000Z | [
"pytorch",
"marian",
"text2text-generation",
"dataset:wmt16",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | svsokol | null | svsokol/opus-mt-ru-en-finetuned-en-to-ru | 1 | null | transformers | 30,371 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt16
model-index:
- name: opus-mt-ru-en-finetuned-en-to-ru
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 ... |
swcrazyfan/TE-v3-10K | f56d2d6e352ebf295a1abe565ba777992b2f4675 | 2021-05-29T03:21:08.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | swcrazyfan | null | swcrazyfan/TE-v3-10K | 1 | null | transformers | 30,372 | Entry not found |
swcrazyfan/TE-v3-12K | 6cb40bf0dd6c10c3073cad3eafe6bdcebf409a7a | 2021-05-29T06:32:52.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | swcrazyfan | null | swcrazyfan/TE-v3-12K | 1 | null | transformers | 30,373 | Entry not found |
swcrazyfan/TEFL-V3 | 285d25f7df525ac55768584249951766796453e5 | 2021-06-14T07:17:34.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | swcrazyfan | null | swcrazyfan/TEFL-V3 | 1 | null | transformers | 30,374 | Entry not found |
tabo/distilbert-base-uncased-finetuned-squad2 | 8fa621bd48b3898f27b71b06baa9cad24c1cd76f | 2021-12-17T07:22:42.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | tabo | null | tabo/distilbert-base-uncased-finetuned-squad2 | 1 | null | transformers | 30,375 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad2
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 remo... |
taesu/ts-test | 1470fbe0f3b39f9281d0ee7eb3a622662cf37a7c | 2022-02-16T23:28:22.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | taesu | null | taesu/ts-test | 1 | null | transformers | 30,376 | Entry not found |
tareknaous/bert2bert-daily-dialog | 701d14e39314dc8c5fb170b5a0603b047aed4e72 | 2022-02-21T08:39:32.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tareknaous | null | tareknaous/bert2bert-daily-dialog | 1 | null | transformers | 30,377 | Entry not found |
tareknaous/t5-daily-dialog | 62cf98068835eb390be00a04a6b4d662e1eff762 | 2022-02-21T08:50:45.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tareknaous | null | tareknaous/t5-daily-dialog | 1 | null | transformers | 30,378 | Entry not found |
tarikul/distilbert-base-uncased-finetuned-squad | 75c71643c1a690ed6d97fd444e87291ecc68ba6a | 2021-09-12T07:19:38.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | tarikul | null | tarikul/distilbert-base-uncased-finetuned-squad | 1 | null | transformers | 30,379 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-squad
results:
- task:
name: Question Answering
type: question-answering
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
sh... |
tbochens/dummy-model | ae9ea962bf672f6a04b5dea85ceec2942d768bcb | 2021-12-29T19:36:22.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | tbochens | null | tbochens/dummy-model | 1 | null | transformers | 30,380 | Entry not found |
tdopierre/ProtAugment-LM-Liu | e864181fdb7719aace4c3e14d618616c2864a371 | 2021-07-01T13:54:53.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | tdopierre | null | tdopierre/ProtAugment-LM-Liu | 1 | null | transformers | 30,381 | Entry not found |
teacookies/autonlp-more_fine_tune_24465520-26265903 | 28e9550d677a9f3f62fb466099e7165a99c0c8e5 | 2021-10-25T09:35:40.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"unk",
"dataset:teacookies/autonlp-data-more_fine_tune_24465520",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | question-answering | false | teacookies | null | teacookies/autonlp-more_fine_tune_24465520-26265903 | 1 | null | transformers | 30,382 | ---
tags:
- autonlp
- question-answering
language: unk
widget:
- text: "Who loves AutoNLP?"
context: "Everyone loves AutoNLP"
datasets:
- teacookies/autonlp-data-more_fine_tune_24465520
co2_eq_emissions: 108.13983395548236
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 2... |
teacookies/autonlp-more_fine_tune_24465520-26265904 | f8c7160137a61b7af3ba48187659166e6ada88d7 | 2021-10-25T09:36:11.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"unk",
"dataset:teacookies/autonlp-data-more_fine_tune_24465520",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | question-answering | false | teacookies | null | teacookies/autonlp-more_fine_tune_24465520-26265904 | 1 | null | transformers | 30,383 | ---
tags:
- autonlp
- question-answering
language: unk
widget:
- text: "Who loves AutoNLP?"
context: "Everyone loves AutoNLP"
datasets:
- teacookies/autonlp-data-more_fine_tune_24465520
co2_eq_emissions: 108.63800043275934
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 2... |
teacookies/autonlp-more_fine_tune_24465520-26265909 | fddd8d19f3995d35730f721062f17c3eaead4474 | 2021-10-25T09:20:12.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"unk",
"dataset:teacookies/autonlp-data-more_fine_tune_24465520",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | question-answering | false | teacookies | null | teacookies/autonlp-more_fine_tune_24465520-26265909 | 1 | null | transformers | 30,384 | ---
tags:
- autonlp
- question-answering
language: unk
widget:
- text: "Who loves AutoNLP?"
context: "Everyone loves AutoNLP"
datasets:
- teacookies/autonlp-data-more_fine_tune_24465520
co2_eq_emissions: 80.25874179679201
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 26... |
teacookies/autonlp-roberta-base-squad2-24465519 | 72e0ec888dea16171a4f663c777f6dc8312ebcfd | 2021-10-22T08:13:26.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"unk",
"dataset:teacookies/autonlp-data-roberta-base-squad2",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | question-answering | false | teacookies | null | teacookies/autonlp-roberta-base-squad2-24465519 | 1 | null | transformers | 30,385 | ---
tags:
- autonlp
- question-answering
language: unk
widget:
- text: "Who loves AutoNLP?"
context: "Everyone loves AutoNLP"
datasets:
- teacookies/autonlp-data-roberta-base-squad2
co2_eq_emissions: 58.19097299648645
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 244655... |
teacookies/autonlp-roberta-base-squad2-24465521 | ecdf74d16363393bdec78fe6277da0041cf98925 | 2021-10-22T08:21:40.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"unk",
"dataset:teacookies/autonlp-data-roberta-base-squad2",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | question-answering | false | teacookies | null | teacookies/autonlp-roberta-base-squad2-24465521 | 1 | null | transformers | 30,386 | ---
tags:
- autonlp
- question-answering
language: unk
widget:
- text: "Who loves AutoNLP?"
context: "Everyone loves AutoNLP"
datasets:
- teacookies/autonlp-data-roberta-base-squad2
co2_eq_emissions: 70.20260764805424
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 244655... |
teacookies/autonlp-roberta-base-squad2-24465523 | 66696373eb47a7af78181b4b223939624ad3d329 | 2021-10-22T08:13:18.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"unk",
"dataset:teacookies/autonlp-data-roberta-base-squad2",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | question-answering | false | teacookies | null | teacookies/autonlp-roberta-base-squad2-24465523 | 1 | null | transformers | 30,387 | ---
tags:
- autonlp
- question-answering
language: unk
widget:
- text: "Who loves AutoNLP?"
context: "Everyone loves AutoNLP"
datasets:
- teacookies/autonlp-data-roberta-base-squad2
co2_eq_emissions: 56.99866929988893
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 244655... |
teacookies/autonlp-roberta-base-squad2-24465525 | b2702c3d4d0472404acd7c889618889b932805ff | 2021-10-22T08:23:09.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"unk",
"dataset:teacookies/autonlp-data-roberta-base-squad2",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | question-answering | false | teacookies | null | teacookies/autonlp-roberta-base-squad2-24465525 | 1 | null | transformers | 30,388 | ---
tags:
- autonlp
- question-answering
language: unk
widget:
- text: "Who loves AutoNLP?"
context: "Everyone loves AutoNLP"
datasets:
- teacookies/autonlp-data-roberta-base-squad2
co2_eq_emissions: 63.997230261104875
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 24465... |
terter/rick-bot-test-v2 | ce3375e111b48987bd1059993e16c699639979c7 | 2021-09-13T15:16:24.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | terter | null | terter/rick-bot-test-v2 | 1 | null | transformers | 30,389 | ---
tags:
- conversational
---
#Rick Sanchez DialoGPT Model |
testimonial/wav2vec2-base-timit-demo-colab | 70f9b4c3b6484ddfbdb5949c6041c870d85c428a | 2022-02-03T03:07:06.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | testimonial | null | testimonial/wav2vec2-base-timit-demo-colab | 1 | null | transformers | 30,390 | ---
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... |
teven/roberta_kelm_tekgen | 86fe78bc97435451a703df31c641f25a5f5dd093 | 2021-11-22T01:04:55.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | teven | null | teven/roberta_kelm_tekgen | 1 | null | sentence-transformers | 30,391 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# teven/roberta_kelm_tekgen
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks... |
thaalesalves/jurandir | 3f83db2fa4a20310472e85e7484a89c995848cb4 | 2021-07-06T01:25:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | thaalesalves | null | thaalesalves/jurandir | 1 | null | transformers | 30,392 | # DialoGPT small - Jurandir
Este é Jurandir, o GPT-2 baseado no DialoGPT que fala português. Ele foi treinado com datasets baseados na Wikipédia e no (Brazilian Portuguese Literature Corpus)[https://www.kaggle.com/rtatman/brazilian-portuguese-literature-corpus]. O propósito deste modelo, inicialmente, é para ser usado ... |
thetlwin/DialoGPT-small-ironman | 872c0a188040fbd8792cf316969afa07a639aa93 | 2021-09-14T05:56:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | thetlwin | null | thetlwin/DialoGPT-small-ironman | 1 | null | transformers | 30,393 | ---
tags:
- conversational
---
# Ironman DialoGPT Model (small) |
thorduragust/XLMR-ENIS-finetuned-ner | dfa8391afedee73fb5518b8332ab444b65c0f03a | 2021-10-05T15:40:05.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:agpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | thorduragust | null | thorduragust/XLMR-ENIS-finetuned-ner | 1 | null | transformers | 30,394 | ---
license: agpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: XLMR-ENIS-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: mim_gold_ner
type: mim_gold_ner
... |
threem/mysquadv2-finetuned-squad | 3f6d92c13c7d11a76a6ced970779dda4c4ff95a3 | 2022-01-08T06:14:47.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | threem | null | threem/mysquadv2-finetuned-squad | 1 | null | transformers | 30,395 | Entry not found |
thyagosme/gpt2-wikitext2 | 09e59fafe472f6cfab14e4e86b67613de0174083 | 2022-02-09T03:17:38.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | thyagosme | null | thyagosme/gpt2-wikitext2 | 1 | null | transformers | 30,396 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-wikitext2
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. -->
# gpt2-wikitext2
This model ... |
tiagohatta/opus-mt-de-en-finetuned-de-to-en-first | 792aed25294f00a824e6b90f2a86b416732cef1a | 2021-11-27T13:04:18.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"dataset:wmt16",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | tiagohatta | null | tiagohatta/opus-mt-de-en-finetuned-de-to-en-first | 1 | null | transformers | 30,397 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt16
metrics:
- bleu
model-index:
- name: opus-mt-de-en-finetuned-de-to-en-first
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wmt16
type: wmt16
args: de-en... |
tiagohatta/opus-mt-de-en-finetuned-de-to-en-second | 55b13f148055618ea69e0d04b69a470dc353e215 | 2021-11-30T17:23:04.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"dataset:wmt16",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | tiagohatta | null | tiagohatta/opus-mt-de-en-finetuned-de-to-en-second | 1 | null | transformers | 30,398 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt16
metrics:
- bleu
model-index:
- name: opus-mt-de-en-finetuned-de-to-en-second
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wmt16
type: wmt16
args: de-e... |
ticet11/DialoGPT-small-BOBBY | f5412f41ef0ae0f339ffff14ea56db9ac33baa89 | 2021-10-01T03:56:25.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ticet11 | null | ticet11/DialoGPT-small-BOBBY | 1 | null | transformers | 30,399 | ---
tags:
- conversational
---
# Bobby Hill DialoGPT Model |
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