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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
sultan/BioM-ALBERT-xxlarge-PMC | 047499f199be4e57c5dd131a355914131d9c9669 | 2021-10-12T21:24:20.000Z | [
"pytorch",
"albert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | sultan | null | sultan/BioM-ALBERT-xxlarge-PMC | 0 | 1 | transformers | 36,100 | # BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA
# Abstract
The impact of design choices on the performance
of biomedical language models recently
has been a subject for investigation. In
this paper, we empirically study biomedical
domain adaptation with large transformer ... |
summaria/qa-qg-t5 | 6f728ef29967afed215928834452016a1d3205a7 | 2021-07-08T03:33:26.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | summaria | null | summaria/qa-qg-t5 | 0 | null | transformers | 36,101 | Entry not found |
summaria/qa-t5 | d49e0508c1a9feb1e5c7d3cc182714d72398a97d | 2021-07-08T05:27:08.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | summaria | null | summaria/qa-t5 | 0 | null | transformers | 36,102 | Entry not found |
sunhao666/chi-sina | 616f37a556fef0821cbff3788c3d340c2842c759 | 2021-06-04T06:43:10.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | sunhao666 | null | sunhao666/chi-sina | 0 | null | transformers | 36,103 | Entry not found |
sunitha/Roberta_Custom_Squad_DS | 214beb56a4bdc41df96f2721e7795a3026a128a4 | 2022-02-17T18:00:36.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | sunitha | null | sunitha/Roberta_Custom_Squad_DS | 0 | null | transformers | 36,104 | Entry not found |
sunitha/Trial_3_Results | 7c2b76614298a13fb97f964c7cbfee9d6b15b21c | 2022-02-05T19:27:23.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | sunitha | null | sunitha/Trial_3_Results | 0 | null | transformers | 36,105 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: Trial_3_Results
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. -->
# T... |
sunitha/config_distilbert_model | b581e9479015875f7f498d74862461c4df792bb4 | 2022-02-16T05:56:14.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | sunitha | null | sunitha/config_distilbert_model | 0 | null | transformers | 36,106 | Entry not found |
supah-hakah/distilgpt2-finetuned-wikitext2 | df74e52f9e1092fbc170241c9f84810120df218c | 2021-08-19T12:59:37.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-generation | false | supah-hakah | null | supah-hakah/distilgpt2-finetuned-wikitext2 | 0 | null | transformers | 36,107 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
model_index:
- name: distilgpt2-finetuned-wikitext2
results:
- task:
name: Causal Language Modeling
type: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access... |
superb-test-user/distilbert-base-uncased-finetuned-squad-d5716d28 | 58b7b06afd1d8d562b4ab12f3f10ff268d7c579a | 2021-09-30T18:04:02.000Z | [
"pytorch",
"en",
"dataset:squad",
"arxiv:1910.01108",
"question-answering",
"license:apache-2.0"
] | question-answering | false | superb-test-user | null | superb-test-user/distilbert-base-uncased-finetuned-squad-d5716d28 | 0 | null | null | 36,108 | ---
language:
- en
thumbnail: https://github.com/karanchahal/distiller/blob/master/distiller.jpg
tags:
- question-answering
license: apache-2.0
datasets:
- squad
metrics:
- squad
---
# DistilBERT with a second step of distillation
## Model description
This model replicates the "DistilBERT (D)" model from Table 2 of... |
suwani/distilbert-base-uncased-finetuned-ner | fc55273ae479a03be76a0e00edbe41ddce1b76b1 | 2021-09-29T08:22:37.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | suwani | null | suwani/distilbert-base-uncased-finetuned-ner | 0 | null | transformers | 36,109 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... |
sv/gpt2-finetuned-nft-shakes | bd8bf83cea2742e6423364a5cf6279821fa51e69 | 2021-09-06T16:59:11.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | sv | null | sv/gpt2-finetuned-nft-shakes | 0 | null | transformers | 36,110 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: gpt2-finetuned-nft-shakes
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
sho... |
svanhvit/XLMR-ENIS-finetuned-conll_ner | a6026b5240de8a1ad1b905b3b877151f62096642 | 2021-10-08T15:14:21.000Z | [
"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 | svanhvit | null | svanhvit/XLMR-ENIS-finetuned-conll_ner | 0 | null | transformers | 36,111 | ---
license: agpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: XLMR-ENIS-finetuned-conll_ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: mim_gold_ner
type: mim_gold... |
svanhvit/XLMR-ENIS-finetuned-ner-finetuned-conll_ner | c33f6f4678e06f2d0765b397cab676e6a7b73fdc | 2021-10-08T13:38:38.000Z | [
"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 | svanhvit | null | svanhvit/XLMR-ENIS-finetuned-ner-finetuned-conll_ner | 0 | null | transformers | 36,112 | ---
license: agpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: XLMR-ENIS-finetuned-ner-finetuned-conll_ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: mim_gold_ner
... |
sven-nm/roberta_classics_ner | 5ad6c9015b146d1bbf281b1eb41c260ca739b945 | 2022-03-18T10:14:20.000Z | [
"pytorch",
"roberta",
"token-classification",
"en",
"transformers",
"classics",
"citation mining",
"autotrain_compatible"
] | token-classification | false | sven-nm | null | sven-nm/roberta_classics_ner | 0 | null | transformers | 36,113 | ---
language:
- en
tags:
- classics
- citation mining
widget:
- text: "Homer's Iliad opens with an invocation to the muse (1. 1)."
---
### Model and entities
`roberta_classics_ner` is a domain-specific RoBERTa-based model for named entity recognition in Classical Studies. It recognises bibliographical entities, suc... |
swapnil165/DialoGPT-small-Rick | a9af2357ee48f435019f9395daed3a5ec187b498 | 2021-10-12T02:33:53.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | swapnil165 | null | swapnil165/DialoGPT-small-Rick | 0 | null | transformers | 36,114 | ---
tags:
- conversational
---
# Rick DialoGPT Model |
swcrazyfan/KingJamesify-T5-base-lm-adapt | 9408ad17b96775c762a963a76fde26b43a712e1e | 2022-02-21T04:33:29.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | swcrazyfan | null | swcrazyfan/KingJamesify-T5-base-lm-adapt | 0 | null | transformers | 36,115 | ---
license: apache-2.0
---
|
swcrazyfan/KingJamesify-T5-large | d2076e140acada81673e207666376436576d0f93 | 2022-03-02T10:53:11.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | swcrazyfan | null | swcrazyfan/KingJamesify-T5-large | 0 | null | transformers | 36,116 | ---
license: apache-2.0
---
This model was fine-tuned to “translate” any English text into 17th-century style English.
The name comes from the dataset used for fine-tuning. Namely, modern Bible text as input and and the famous King James Bible as the output.
To test, use “kingify: “ at the beginning of anythin... |
swcrazyfan/TB-125M | 458bb8f18ac1f475c81e8c8e81203995dc845f98 | 2021-07-03T03:37:21.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | swcrazyfan | null | swcrazyfan/TB-125M | 0 | null | transformers | 36,117 | Entry not found |
swcrazyfan/TE-v3-3K | 3675a9c478bf64d9046e2d3baf89558ef0d0e9e6 | 2021-05-28T06:38:28.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | swcrazyfan | null | swcrazyfan/TE-v3-3K | 0 | null | transformers | 36,118 | Entry not found |
swcrazyfan/TE-v3-8K | eaf75b2d5973501dce9f6ca38613d68617dfb09a | 2021-05-28T12:26:43.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | swcrazyfan | null | swcrazyfan/TE-v3-8K | 0 | null | transformers | 36,119 | Entry not found |
swcrazyfan/TEFL-2.7B-10K | 2067c796d6e9e7b7296c66c2a9c55647b5ea32cd | 2021-06-10T03:25:02.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | swcrazyfan | null | swcrazyfan/TEFL-2.7B-10K | 0 | null | transformers | 36,120 | Entry not found |
swcrazyfan/TEFL-2.7B-15K | 0a1ed9d8dbe4db525f27102833bb5ae687756f49 | 2021-06-10T09:20:21.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | swcrazyfan | null | swcrazyfan/TEFL-2.7B-15K | 0 | null | transformers | 36,121 | Entry not found |
swcrazyfan/TEFL-2.7B-4K | 12c27deb7942c456789c80f1567e35a743329dc6 | 2021-06-04T15:58:19.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | swcrazyfan | null | swcrazyfan/TEFL-2.7B-4K | 0 | null | transformers | 36,122 | Entry not found |
swcrazyfan/gpt-neo-1.3B-TBL | 1777406e4594978eb2b5807649002b4534bd58ea | 2021-05-21T05:43:27.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | swcrazyfan | null | swcrazyfan/gpt-neo-1.3B-TBL | 0 | null | transformers | 36,123 | Entry not found |
sybk/highkick-soonjae-v2 | e40379c7be0cdbf13b63563bb7fc4c436b85628c | 2021-05-31T04:23:02.000Z | [
"pytorch",
"gpt2",
"feature-extraction",
"transformers"
] | feature-extraction | false | sybk | null | sybk/highkick-soonjae-v2 | 0 | null | transformers | 36,124 | Entry not found |
sybk/highkick-soonjae | 7a5e8be132f5c14f8ed0102a44abf7bcda9c0ae6 | 2021-05-23T14:38:21.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | sybk | null | sybk/highkick-soonjae | 0 | null | transformers | 36,125 | Entry not found |
sybk/hk-backward | 7c02e09ef972133e5b055f7c6a575563415d77d2 | 2021-05-23T14:41:39.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | sybk | null | sybk/hk-backward | 0 | null | transformers | 36,126 | Entry not found |
sybk/hk_backward_v2 | 47d1a99334519c2223fd710c19d13ff60fa0e8e3 | 2021-05-31T04:17:16.000Z | [
"pytorch",
"gpt2",
"feature-extraction",
"transformers"
] | feature-extraction | false | sybk | null | sybk/hk_backward_v2 | 0 | null | transformers | 36,127 | Entry not found |
tabo/checkpoint-500-finetuned-squad | 65a5245195d9ac4df0f8d21976ba6e37a0128d1d | 2021-12-14T09:40:16.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | tabo | null | tabo/checkpoint-500-finetuned-squad | 0 | null | transformers | 36,128 | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: checkpoint-500-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 remove this comment. -->
# checkp... |
tadejmagajna/flair-sl-pos | ba815bf66da987b021803b26d4245c0012bfba8e | 2022-01-05T15:07:06.000Z | [
"pytorch",
"sl",
"flair",
"token-classification",
"sequence-tagger-model"
] | token-classification | false | tadejmagajna | null | tadejmagajna/flair-sl-pos | 0 | null | flair | 36,129 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: sl
widget:
- text: "Danes je lep dan."
---
## Slovene Part-of-speech (PoS) Tagging for Flair
This is a Slovene part-of-speech (PoS) tagger trained on the [Slovenian UD Treebank](https://github.com/UniversalDependencies/UD_Slovenian-SSJ) using ... |
tal-yifat/injury-report-test | b4eb74dd2fb31972315092083fd96e3c73936d77 | 2022-01-18T16:24:00.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | tal-yifat | null | tal-yifat/injury-report-test | 0 | null | transformers | 36,130 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: injury-report-test
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. -->
# injury-report-te... |
tanmayplanet32/english-model | 0c97244e7c9c9dcc99c1ae63773f15fb9621788b | 2021-08-18T16:48:54.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | tanmayplanet32 | null | tanmayplanet32/english-model | 0 | null | transformers | 36,131 |
# Wav2vec2-Large-English
Fine-tuned [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on English using the [Common Voice](https://huggingface.co/datasets/common_voice).
When using this model, make sure that your speech input is sampled at 16kHz.
|
tareknaous/bart-daily-dialog | 764f80cb4d63a591099aeda84cc0083324316341 | 2022-02-21T08:51:56.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tareknaous | null | tareknaous/bart-daily-dialog | 0 | null | transformers | 36,132 | Entry not found |
tau/splinter-large | 3d409d83a89d3e4989743e450001275891ceb22c | 2021-08-17T14:18:58.000Z | [
"pytorch",
"splinter",
"question-answering",
"en",
"arxiv:2108.05857",
"transformers",
"SplinterModel",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | tau | null | tau/splinter-large | 0 | null | transformers | 36,133 | ---
language: en
tags:
- splinter
- SplinterModel
license: apache-2.0
---
# Splinter large model
Splinter-large is the pretrained model discussed in the paper [Few-Shot Question Answering by Pretraining Span Selection](https://aclanthology.org/2021.acl-long.239/) (at ACL 2021). Its original repository can be found... |
teacookies/autonlp-more_fine_tune_24465520-26265897 | bb032bc40272a9143a0edb970a50360c9223a6f1 | 2021-10-25T09:21:10.000Z | [
"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_24465520-26265897 | 0 | null | transformers | 36,134 | ---
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: 81.7509252560808
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 262... |
teacookies/autonlp-more_fine_tune_24465520-26265898 | 32151360ca95c771a61d4fd9477ba2aa19a793f7 | 2021-10-25T09:22:22.000Z | [
"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_24465520-26265898 | 0 | null | transformers | 36,135 | ---
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: 82.78379967029494
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 26... |
teacookies/autonlp-more_fine_tune_24465520-26265899 | fe0b555762c07b69219b3549715004a36b78e6e6 | 2021-10-25T09:51:18.000Z | [
"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_24465520-26265899 | 0 | null | transformers | 36,136 | ---
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: 124.66009281731397
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 2... |
teacookies/autonlp-more_fine_tune_24465520-26265900 | 3b4ddab0b5121464a518e434431a421f1a8806ac | 2021-10-25T09:51:20.000Z | [
"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_24465520-26265900 | 0 | null | transformers | 36,137 | ---
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: 123.16270720220912
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 2... |
teacookies/autonlp-more_fine_tune_24465520-26265901 | 3a12985355f7301a14a69160049b9d31cb631d66 | 2021-10-25T09:21:03.000Z | [
"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_24465520-26265901 | 0 | null | transformers | 36,138 | ---
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: 80.04360178242067
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 26... |
teacookies/autonlp-more_fine_tune_24465520-26265902 | f638248b2085ae4122ffd68dc0e59cbd29b27e75 | 2021-10-25T09:22:00.000Z | [
"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_24465520-26265902 | 0 | null | transformers | 36,139 | ---
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: 83.78453848505326
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 26... |
teacookies/autonlp-more_fine_tune_24465520-26265905 | a54e425c9ccdfbda6bb5538c930afa79a40f7f95 | 2021-10-25T09:32:48.000Z | [
"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_24465520-26265905 | 0 | null | transformers | 36,140 | ---
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: 103.35758036182682
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 2... |
teacookies/autonlp-more_fine_tune_24465520-26265906 | bb232483ee29b78f2de8f5022bfece3173c3cd60 | 2021-10-25T09:22:17.000Z | [
"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_24465520-26265906 | 0 | null | transformers | 36,141 | ---
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: 83.00580438705762
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 26... |
teacookies/autonlp-more_fine_tune_24465520-26265907 | 72cf012f02f4371b2bfb2cf479fedc2b0f7bc744 | 2021-10-25T09:35:36.000Z | [
"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_24465520-26265907 | 0 | null | transformers | 36,142 | ---
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: 103.5636883689371
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 26... |
teacookies/autonlp-more_fine_tune_24465520-26265910 | 20b2e9f562f62d0737fc496bda40cdf69c1611c1 | 2021-10-25T09:21:45.000Z | [
"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_24465520-26265910 | 0 | null | transformers | 36,143 | ---
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: 77.64468929470678
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 26... |
teacookies/autonlp-more_fine_tune_24465520-26265911 | a65ed505282e289f26dad288537b36fff15b83ba | 2021-10-25T09:35:36.000Z | [
"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_24465520-26265911 | 0 | null | transformers | 36,144 | ---
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: 97.58591836686978
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 26... |
teacookies/autonlp-roberta-base-squad2-24465514 | d1619e096997b1f9d7e6f501ffc07289853c7931 | 2021-10-22T08:10:51.000Z | [
"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-squad2-24465514 | 0 | null | transformers | 36,145 | ---
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: 54.44076291568145
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 244655... |
teacookies/autonlp-roberta-base-squad2-24465515 | 695f210a49806aba360209a83d88c02c0546889c | 2021-10-22T08:11:45.000Z | [
"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-squad2-24465515 | 0 | null | transformers | 36,146 | ---
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: 56.45146749922553
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 244655... |
teacookies/autonlp-roberta-base-squad2-24465517 | 023cd2eb233fae9a0f0d32d2fdd03b50d99152db | 2021-10-22T08:13:41.000Z | [
"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-squad2-24465517 | 0 | null | transformers | 36,147 | ---
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: 54.75747617143382
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 244655... |
teacookies/autonlp-roberta-base-squad2-24465518 | 0461b9c8468eadc480518ed7f1cb4eb6d522c8bd | 2021-10-22T08:04:33.000Z | [
"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-squad2-24465518 | 0 | null | transformers | 36,148 | ---
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: 45.268576304018616
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 24465... |
teacookies/autonlp-roberta-base-squad2-24465520 | a309de3e4935a8eb401dd43c7e0534ff77120127 | 2021-10-22T08:13:49.000Z | [
"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-squad2-24465520 | 0 | null | transformers | 36,149 | ---
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: 57.56554511511173
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 244655... |
teacookies/autonlp-roberta-base-squad2-24465522 | 0f956f97426bf72a6fbf2d5f2cf7d93d39b62600 | 2021-10-22T08:05:40.000Z | [
"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-squad2-24465522 | 0 | null | transformers | 36,150 | ---
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: 44.450538076574766
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 24465... |
teacookies/autonlp-roberta-base-squad2-24465524 | d28e4b6e2353ebcf3c5b3e77e61c70a4bfd94117 | 2021-10-22T08:14:00.000Z | [
"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-squad2-24465524 | 0 | null | transformers | 36,151 | ---
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: 58.51753681929935
---
# Model Trained Using AutoNLP
- Problem type: Extractive Question Answering
- Model ID: 244655... |
teleportHQ/predicto_tsx | 6986d6fc1571598e64c3f37a4e16bc9df864db05 | 2021-05-23T13:05:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | teleportHQ | null | teleportHQ/predicto_tsx | 0 | null | transformers | 36,152 | predicto css model
|
tennessejoyce/titlewave-t5-small | 2f07d369f98429e80bb53886855ec49a93819466 | 2021-03-09T04:03:11.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tennessejoyce | null | tennessejoyce/titlewave-t5-small | 0 | 1 | transformers | 36,153 | # Titlewave: t5-small
This is one of two models used in the Titlewave project. See https://github.com/tennessejoyce/TitleWave for more information.
This model was fine-tuned on a dataset of Stack Overflow posts, with a ConditionalGeneration head that summarizes the body of a question in order to suggest a title.
|
terri1102/wav2vec2-base-timit-demo-colab | 63fb562fb3947297c466236feeaab4a47d9ac6cf | 2021-10-29T20:57:45.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | terri1102 | null | terri1102/wav2vec2-base-timit-demo-colab | 0 | null | transformers | 36,154 | ---
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... |
testorg2/larger_fork | e04d38a7d68c60a7a95390045400a555127ab033 | 2021-11-02T09:42:38.000Z | [
"pytorch",
"bert",
"feature-extraction",
"multilingual",
"arxiv:1908.10084",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | false | testorg2 | null | testorg2/larger_fork | 0 | null | sentence-transformers | 36,155 | ---
pipeline_tag: sentence-similarity
language: multilingual
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences &... |
thesamuelpena/Dialog-medium-Sonic | 07d41f5fc7bd2356b81cd5080f4a76b8f6943c23 | 2021-11-14T06:21:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | thesamuelpena | null | thesamuelpena/Dialog-medium-Sonic | 0 | null | transformers | 36,156 | ---
tags:
- conversational
---
#Sonic DialoGPT Model |
thingsu/koDPR_question | ae8cfb1aa3da47c61e607d404d622df3a4d8f8fa | 2021-05-24T02:47:00.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | thingsu | null | thingsu/koDPR_question | 0 | 3 | transformers | 36,157 | fintuned the kykim/bert-kor-base model as a dense passage retrieval context encoder by KLUE dataset
this link is experiment result. https://wandb.ai/thingsu/DenseRetrieval
Corpus : Korean Wikipedia Corpus
Trained Strategy :
- Pretrained Model : kykim/bert-kor-base
- Inverse Cloze Task : 16 Epoch, by korquad v 1.... |
thorduragust/IceBERT-finetuned-ner | 2b5c72ce3fbd3dfbd9baf2aa00181373eed43e30 | 2021-10-05T16:36:22.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:gpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | thorduragust | null | thorduragust/IceBERT-finetuned-ner | 0 | null | transformers | 36,158 | ---
license: gpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: IceBERT-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: mim_gold_ner
type: mim_gold_ner
... |
threem/mysquadv2_8Jan22-finetuned-squad | 335fb8b9bb2da2f2c256c960bf5445ae5c79a224 | 2022-01-08T21:02:48.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | threem | null | threem/mysquadv2_8Jan22-finetuned-squad | 0 | null | transformers | 36,159 | Entry not found |
tiennvcs/bert-base-uncased-finetuned-infovqa | cf6ab4e7f56e3b93a2a91b782f153faa2d49270a | 2021-10-23T00:21:16.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | tiennvcs | null | tiennvcs/bert-base-uncased-finetuned-infovqa | 0 | null | transformers | 36,160 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-infovqa
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
should... |
tiennvcs/distilbert-base-uncased-finetuned-infovqa | 87d87c9534e45a152889f633979597abf2c14d89 | 2021-10-21T11:37:56.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | tiennvcs | null | tiennvcs/distilbert-base-uncased-finetuned-infovqa | 0 | null | transformers | 36,161 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-infovqa
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. ... |
timslams666/DialoGPT-small-rick | 36fd2b23a143133cd7e5cab48ac420a80a2f2687 | 2021-10-07T14:33:12.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | timslams666 | null | timslams666/DialoGPT-small-rick | 0 | null | transformers | 36,162 | ---
tags:
- conversational
---
# Rick Sanchez DialoGPT Model |
tingtingyuli/wav2vec2-base-timit-demo-colab | c3f7ac2753409bbb66f10c33fc63e02f486c9a89 | 2021-12-21T22:26:02.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | tingtingyuli | null | tingtingyuli/wav2vec2-base-timit-demo-colab | 0 | null | transformers | 36,163 | ---
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... |
tknmsn/hiro | 5e5fe8a1e31b1024d51b3e68cf0e63ae919b6014 | 2022-02-08T08:23:26.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:mit"
] | text-generation | false | tknmsn | null | tknmsn/hiro | 0 | null | transformers | 36,164 | ---
license: mit
---
|
tli8hf/robertabase-crf-conll2012 | 80bae49f499b8d3816e2d6b2703146ddb64cfc38 | 2021-05-20T22:31:59.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | tli8hf | null | tli8hf/robertabase-crf-conll2012 | 0 | 1 | transformers | 36,165 | Entry not found |
tli8hf/robertabase_snli | 0028eca2f222b8bc7b8d61853ddb1db6e943dd7c | 2020-11-04T05:42:29.000Z | [
"pytorch",
"transformerfornli",
"transformers"
] | null | false | tli8hf | null | tli8hf/robertabase_snli | 0 | null | transformers | 36,166 | Entry not found |
tli8hf/unqover-bert-base-uncased-squad | cd14480340a8d9e2b097ffce060ad9a334dbc943 | 2021-05-20T07:54:17.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | tli8hf | null | tli8hf/unqover-bert-base-uncased-squad | 0 | null | transformers | 36,167 | Entry not found |
tli8hf/unqover-bert-large-uncased-newsqa | cbfe03a219f6721e4eca85b23b67e0668e346024 | 2021-05-20T07:56:02.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | tli8hf | null | tli8hf/unqover-bert-large-uncased-newsqa | 0 | null | transformers | 36,168 | Entry not found |
tli8hf/unqover-distilbert-base-uncased-newsqa | 3aacdcb349218a7c63828e8ff7c65b56a2f52ed3 | 2020-10-19T22:41:55.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | tli8hf | null | tli8hf/unqover-distilbert-base-uncased-newsqa | 0 | null | transformers | 36,169 | Entry not found |
tli8hf/unqover-roberta-base-newsqa | cdd1a598ff34e18e22ec252431056528430a7399 | 2021-05-20T22:33:16.000Z | [
"pytorch",
"jax",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | tli8hf | null | tli8hf/unqover-roberta-base-newsqa | 0 | null | transformers | 36,170 | Entry not found |
tli8hf/unqover-roberta-base-squad | 6cd2c99694171feb4e5f4b730d8b7e99f2846dee | 2021-05-20T22:34:19.000Z | [
"pytorch",
"jax",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | tli8hf | null | tli8hf/unqover-roberta-base-squad | 0 | null | transformers | 36,171 | Entry not found |
tlkh/code-byt5-large | dbf7ce17fc348f0b6f835a5816a2a59fa3485c5b | 2021-12-01T14:00:53.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tlkh | null | tlkh/code-byt5-large | 0 | null | transformers | 36,172 | Entry not found |
tlkh/program-synthesis-gpt-neo-1.3b | 50026849cfe13d5c2544471f2f6748501b16cbb7 | 2021-09-28T06:55:47.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | tlkh | null | tlkh/program-synthesis-gpt-neo-1.3b | 0 | null | transformers | 36,173 | Entry not found |
tlkh/t5_3B_fp16_untuned | 95a914516f02292649a910e54297861c0a7dbc99 | 2021-11-04T17:26:41.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tlkh | null | tlkh/t5_3B_fp16_untuned | 0 | null | transformers | 36,174 | Entry not found |
tlkh/t5_large_fp16_untuned | 7ed1f270fd8424de205141d2dfdf036074c02130 | 2021-11-04T14:07:21.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tlkh | null | tlkh/t5_large_fp16_untuned | 0 | null | transformers | 36,175 | Entry not found |
tmagajna/test | 674999ce57135b76dd75591f8f6f8e10ae96d9b0 | 2022-01-07T11:57:41.000Z | [
"pytorch",
"flair",
"token-classification"
] | token-classification | false | tmagajna | null | tmagajna/test | 0 | null | flair | 36,176 | ---
tags:
- flair
- token-classification
widget:
- text: "does this work"
---
## Test model |
tmills/clinical_tempeval_roberta-base | 2e194f49dc064fbabfc900590175090a7067e398 | 2022-03-24T03:34:16.000Z | [
"pytorch",
"cnlpt",
"transformers"
] | null | false | tmills | null | tmills/clinical_tempeval_roberta-base | 0 | null | transformers | 36,177 | Entry not found |
tngo/DialoGPT-small-HankHill | 9b0ab3a8cd5d3d0d17318c8e75c344e91ea99d25 | 2021-12-08T08:37:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | tngo | null | tngo/DialoGPT-small-HankHill | 0 | null | transformers | 36,178 | ---
tags:
- conversational
---
# Hank Hill ChatBot
This is an instance of microsoft/DialoGPT-small trained on a tv show character, Hank Hill from King of The Hill. The data comes from a csv file that contains character lines from the first 5 seasons of the show. Updated some portion of the data to accurately show Han... |
tobiaslee/bert-6L-768H | 930fca29dc47c73f493584ed4f2fc22fe5aa1953 | 2021-05-20T08:00:41.000Z | [
"pytorch",
"jax",
"bert",
"transformers"
] | null | false | tobiaslee | null | tobiaslee/bert-6L-768H | 0 | null | transformers | 36,179 | Entry not found |
tobiaslee/roberta-large-defteval-t6-st2 | 0af2060ce51896d14ae673562ffd7cef873b2c27 | 2021-06-27T08:16:59.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tobiaslee | null | tobiaslee/roberta-large-defteval-t6-st2 | 0 | null | transformers | 36,180 | Entry not found |
toiletwater/DialoGPT-medium-ironman | b1b2eca6f242dd97cf4eb812fb3a34fabbd04cf5 | 2021-11-27T03:00:25.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | toiletwater | null | toiletwater/DialoGPT-medium-ironman | 0 | null | transformers | 36,181 | ---
tags:
- conversational
---
# Tony Stark DialoGPT Model |
tom1804/hp_new | 39ffc04c2c446387376d97b1957f73ec672d9ec8 | 2021-06-20T15:38:30.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | tom1804 | null | tom1804/hp_new | 0 | null | transformers | 36,182 | ---
tags:
- conversational
---
# My Awesome Model |
tomascerejo12/DialoGPT-small-Rick | 081837a655b533c6d67bdf4ff98ba039601c7d30 | 2021-08-26T22:08:49.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | tomascerejo12 | null | tomascerejo12/DialoGPT-small-Rick | 0 | null | transformers | 36,183 | ---
tags:
- conversational
---
# Rick DialogPT Model |
tomato/electra-Question-answer | 0f100ca54d1922611ec1ff50a1a371a23bcac9e5 | 2021-06-03T18:52:15.000Z | [
"pytorch",
"electra",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | tomato | null | tomato/electra-Question-answer | 0 | null | transformers | 36,184 | Entry not found |
tonoadisorn/wangchanberta-ner | c2bdaf73fd3886f87b6fc7d58adb42d7ffc8aa82 | 2022-02-15T07:04:11.000Z | [
"pytorch",
"camembert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tonoadisorn | null | tonoadisorn/wangchanberta-ner | 0 | null | transformers | 36,185 | Entry not found |
tonyalves/wav2vec2-300m-teste4 | d5b303e79c01d50f6778b3bd202b972155de1bbf | 2022-01-09T22:57:13.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | tonyalves | null | tonyalves/wav2vec2-300m-teste4 | 0 | null | transformers | 36,186 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-300m-teste4
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 comme... |
tpri/DialoGPT-small-pa | 93471bc777e03bc5312c8460bb5719fc04264ea6 | 2022-01-18T04:09:57.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | tpri | null | tpri/DialoGPT-small-pa | 0 | null | transformers | 36,187 | ---
tags:
- conversational
---
#Parry Bot DialoGPT Model |
trangdieu/roberta-large-retrained-2-epochs | 1b8f99085c06be7f7d43fa0f91914055b7b14bc7 | 2021-06-12T19:45:22.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | trangdieu | null | trangdieu/roberta-large-retrained-2-epochs | 0 | null | transformers | 36,188 | Entry not found |
trig/DialoGPT-small-harrypotter | a2bd94778a33984e9084e75bf76b829ca23386d4 | 2021-08-28T17:27:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | trig | null | trig/DialoGPT-small-harrypotter | 0 | null | transformers | 36,189 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
trig/sokka-chatbot-test | f12e574232aec91178bafa5d614353b9acabb64b | 2021-08-28T18:58:58.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | trig | null | trig/sokka-chatbot-test | 0 | null | transformers | 36,190 | ---
tags:
- conversational
---
# chatbot test with sokka from atla |
trisongz/biobert_large_cased | 153aeff7de5a41c0cf3ca597c5e3c3bb2f7d1280 | 2020-04-29T21:35:30.000Z | [
"pytorch",
"transformers"
] | null | false | trisongz | null | trisongz/biobert_large_cased | 0 | null | transformers | 36,191 | Entry not found |
trueto/medalbert-base-chinese | 9469a48b321e6739193f347eb46a721bb426b1a0 | 2021-03-26T05:29:51.000Z | [
"pytorch",
"albert",
"transformers"
] | null | false | trueto | null | trueto/medalbert-base-chinese | 0 | 1 | transformers | 36,192 | # [medbert](https://github.com/trueto/medbert)
本项目开源硕士毕业论文“BERT模型在中文临床自然语言处理中的应用探索与研究”相关模型
## 评估基准
构建了中文电子病历命名实体识别数据集（CEMRNER）、中文医学文本命名实体识别数据集（CMTNER）、
中文医学问句-问句识别数据集（CMedQQ）和中文临床文本分类数据集（CCTC）。
| **数据集** | **训练集** | **验证集** | **测试集** | **任务类型** | **语料来源** |
| ---- | ---- | ---- |---- |---- |:----:|
| CE... |
ttntran/DialoGPT-small-human | 88f7251ea8b30f007fd87e27fa2c806b78c50a7b | 2022-02-12T16:21:40.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ttntran | null | ttntran/DialoGPT-small-human | 0 | null | transformers | 36,193 | ---
tags:
- conversational
---
# Human GPT Model |
tuhailong/SimCSE-RoBRTa-wwm-ext | 74a3208c681cff0f8538c81258bca21abe89f202 | 2021-07-30T02:04:08.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | tuhailong | null | tuhailong/SimCSE-RoBRTa-wwm-ext | 0 | null | transformers | 36,194 | Entry not found |
tuhailong/SimCSE-electra-180g-small-generator | ff394261c13af73ac65c90b27a7d48af75a29273 | 2021-07-30T02:08:04.000Z | [
"pytorch",
"electra",
"transformers"
] | null | false | tuhailong | null | tuhailong/SimCSE-electra-180g-small-generator | 0 | null | transformers | 36,195 | Entry not found |
twdooley/breitbot | 745b89f42de48009e0ca8f7ae302b9c13012f58d | 2021-05-23T13:18:29.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | twdooley | null | twdooley/breitbot | 0 | null | transformers | 36,196 | <h1>BreitBot</h1><h2>Timothy W. Dooley</h2>___________________________________________________<h3>GitHub</h3>The GitHub for the project can be found [here](https://github.com/twdooley/election_news)<h3>Model</h3><br>This model was trained on about 16,000 headlines from Breitbart.com spannning March 2019- 11 November 20... |
tyoc213/wav2vec2-large-xlsr-nahuatl | 71c1843952f21227bc5d97d19e31a42dd8065a19 | 2021-04-07T02:59:04.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"nah specifically ncj",
"dataset:created a new dataset based on https://www.openslr.org/92/",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | tyoc213 | null | tyoc213/wav2vec2-large-xlsr-nahuatl | 0 | 1 | transformers | 36,197 |
---
language: nah specifically ncj
datasets:
- created a new dataset based on https://www.openslr.org/92/
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Nahuatl XLSR Wav2Vec 53
results:
- task:
name: Speech Recognition
... |
tyoyo/t5-base-TEDxJP-1body-1context | e1a95d19c7a3a5320518d5f5c085aab52050218d | 2021-12-05T20:01:50.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:te_dx_jp",
"transformers",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | tyoyo | null | tyoyo/t5-base-TEDxJP-1body-1context | 0 | null | transformers | 36,198 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- te_dx_jp
model-index:
- name: t5-base-TEDxJP-1body-1context
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 thi... |
tyqiangz/xlm-roberta-base-finetuned-chaii | 1dc91eb2daaec34a85552996973fdade3dfac1db | 2021-08-17T13:48:43.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"license:mit",
"autotrain_compatible"
] | question-answering | false | tyqiangz | null | tyqiangz/xlm-roberta-base-finetuned-chaii | 0 | null | transformers | 36,199 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- null
model_index:
- name: xlm-roberta-base-finetuned-chaii
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... |
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