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income/jpq-gpl-fiqa-document_encoder-base-msmarco-distilbert-tas-b | de20e7a20b6b0c0578752f10364ed78e9e63f4fc | 2022-06-15T17:16:03.000Z | [
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license: apache-2.0
---
|
income/jpq-gpl-hotpotqa-question_encoder-base-msmarco-distilbert-tas-b | b49937e6fc7c669f005a27cf90637c8af89074a5 | 2022-06-15T17:17:27.000Z | [
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license: apache-2.0
---
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income/jpq-gpl-nfcorpus-question_encoder-base-msmarco-distilbert-tas-b | 19904b962f446c08207093f994ee7b6fd0e0d357 | 2022-06-15T17:26:15.000Z | [
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license: apache-2.0
---
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income/jpq-gpl-nfcorpus-document_encoder-base-msmarco-distilbert-tas-b | cebf1424e99886dbdd69c3498763910499edd1b4 | 2022-06-15T17:28:14.000Z | [
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license: apache-2.0
---
|
income/jpq-gpl-nq-question_encoder-base-msmarco-distilbert-tas-b | ca30ac871ab926e67c64a25f8d8c61b7ba588b09 | 2022-06-15T17:29:28.000Z | [
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license: apache-2.0
---
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income/jpq-gpl-nq-document_encoder-base-msmarco-distilbert-tas-b | afbe9b09c4d23fa21d6fa33252a082be31ffd6f3 | 2022-06-15T17:30:10.000Z | [
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license: apache-2.0
---
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income/jpq-gpl-quora-question_encoder-base-msmarco-distilbert-tas-b | d0913555feba8151cd5c6fa4e983ba12d8fb0aa9 | 2022-06-15T17:31:38.000Z | [
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license: apache-2.0
---
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income/jpq-gpl-scidocs-question_encoder-base-msmarco-distilbert-tas-b | e8ddf4ae5e14aec9682aa54690d9c3c00f188d87 | 2022-06-15T17:36:01.000Z | [
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license: apache-2.0
---
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income/jpq-gpl-scidocs-document_encoder-base-msmarco-distilbert-tas-b | ed5d266d9562925523affb3fb059bce6fb9f2432 | 2022-06-15T17:36:43.000Z | [
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license: apache-2.0
---
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income/jpq-gpl-scifact-document_encoder-base-msmarco-distilbert-tas-b | 8658482ed31ff6193289017cb577248e3880267d | 2022-06-15T17:38:40.000Z | [
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license: apache-2.0
---
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income/jpq-gpl-trec-covid-question_encoder-base-msmarco-distilbert-tas-b | 4c3cf9c0d0d38834882b732bf7a1ebedcf848b52 | 2022-06-15T17:43:02.000Z | [
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license: apache-2.0
---
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lmqg/t5-large-squadshifts-nyt | 6623d6952f5bbd917c0d136f1d47b7d37c19c1f5 | 2022-06-16T11:55:05.000Z | [
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Nadav/xlm-roberta-base-squad-finetuned-on-runaways-en | 157942d7c69496eeb3b199a4c7eaf8ebd01d5aaa | 2022-06-19T14:09:31.000Z | [
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] | question-answering | false | Nadav | null | Nadav/xlm-roberta-base-squad-finetuned-on-runaways-en | 1 | null | transformers | 32,912 | Entry not found |
Nadav/roberta-base-finetuned-on-runaways-en | e69d843860ceecca4eae9f780de04fff35d592a8 | 2022-06-19T12:41:17.000Z | [
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Nadav/xlm-roberta-base-finetuned-on-runaways-en | 130b35410dd7e9992a316874fba2491463fc0fb9 | 2022-06-19T13:17:36.000Z | [
"pytorch",
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"transformers",
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] | fill-mask | false | Nadav | null | Nadav/xlm-roberta-base-finetuned-on-runaways-en | 1 | null | transformers | 32,914 | Entry not found |
erickfm/bright-sweep-9 | 4172724cf12fb83378031b0cb2e545f5a955dac8 | 2022-06-15T21:16:57.000Z | [
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] | text2text-generation | false | erickfm | null | erickfm/bright-sweep-9 | 1 | null | transformers | 32,915 | Entry not found |
income/jpq-gpl-trec-news-question_encoder-base-msmarco-distilbert-tas-b | 1e897e579a15314e489272d05244113ce8c1f062 | 2022-06-15T21:53:20.000Z | [
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] | null | false | income | null | income/jpq-gpl-trec-news-question_encoder-base-msmarco-distilbert-tas-b | 1 | null | transformers | 32,916 | ---
license: apache-2.0
---
|
income/jpq-genq-arguana-question_encoder-base-msmarco-distilbert-tas-b | 27b7ef687f6e2c5cbf84559a11d3b09535d16458 | 2022-06-15T21:57:39.000Z | [
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] | null | false | income | null | income/jpq-genq-arguana-question_encoder-base-msmarco-distilbert-tas-b | 1 | null | transformers | 32,917 | ---
license: apache-2.0
---
|
income/jpq-genq-webis-touche2020-question_encoder-base-msmarco-distilbert-tas-b | b418a08a9caa905bc1536c35ee54e14192bb87e7 | 2022-06-15T21:59:53.000Z | [
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] | null | false | income | null | income/jpq-genq-webis-touche2020-question_encoder-base-msmarco-distilbert-tas-b | 1 | null | transformers | 32,918 | ---
license: apache-2.0
---
|
income/jpq-genq-webis-touche2020-document_encoder-base-msmarco-distilbert-tas-b | baa9bd6ecbfc878886535b81375a240715341228 | 2022-06-15T22:00:21.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-climate-fever-question_encoder-base-msmarco-distilbert-tas-b | 9bf52f0a0f695b57a43780069c2ebd5de111c893 | 2022-06-15T22:00:52.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-climate-fever-document_encoder-base-msmarco-distilbert-tas-b | f22da808212b17ac0f99da3ba99f50057a7facb0 | 2022-06-15T22:01:26.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-dbpedia-entity-question_encoder-base-msmarco-distilbert-tas-b | 60d6c9ea2b91c63b3e9681b03ae9a0e3676f38da | 2022-06-15T22:01:59.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-dbpedia-entity-document_encoder-base-msmarco-distilbert-tas-b | 4402affbfcc2a3a80609c61231aa5c51b343b340 | 2022-06-15T22:02:38.000Z | [
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] | null | false | income | null | income/jpq-genq-dbpedia-entity-document_encoder-base-msmarco-distilbert-tas-b | 1 | null | transformers | 32,923 | ---
license: apache-2.0
---
|
income/jpq-genq-fever-question_encoder-base-msmarco-distilbert-tas-b | 7e2b7a313f431a784e2e97e3dcea6d44b0d2156e | 2022-06-15T22:04:20.000Z | [
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] | null | false | income | null | income/jpq-genq-fever-question_encoder-base-msmarco-distilbert-tas-b | 1 | null | transformers | 32,924 | ---
license: apache-2.0
---
|
income/jpq-genq-fiqa-document_encoder-base-msmarco-distilbert-tas-b | 7b861ad0abd69e4c5fe8bbf6a871d64de2eec8bf | 2022-06-15T22:08:15.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-hotpotqa-question_encoder-base-msmarco-distilbert-tas-b | b42dcfc35ca57124a4e29b818173496d8ff7bafc | 2022-06-15T22:10:03.000Z | [
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license: apache-2.0
---
|
Asia-N/opus-mt-ar-en-finetuned-ar-to-en | e9cc735df9354f1f61a60d6044d9012197a332b7 | 2022-06-18T10:25:40.000Z | [
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] | text2text-generation | false | Asia-N | null | Asia-N/opus-mt-ar-en-finetuned-ar-to-en | 1 | null | transformers | 32,927 | ---
license: apache-2.0
tags:
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datasets:
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metrics:
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model-index:
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results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: news_commentary
type: news_comm... |
income/jpq-genq-nfcorpus-question_encoder-base-msmarco-distilbert-tas-b | 25a938df61362627f18f668881e4f47eb4884e89 | 2022-06-15T22:13:23.000Z | [
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license: apache-2.0
---
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income/jpq-genq-nfcorpus-document_encoder-base-msmarco-distilbert-tas-b | cf43fed71d0f69ad26ab6ad81eba183b1f63ffc8 | 2022-06-15T22:13:59.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-nq-question_encoder-base-msmarco-distilbert-tas-b | 5b67cfe6c86743f1b8651ce26ba42f97c75283e8 | 2022-06-15T22:14:43.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-quora-question_encoder-base-msmarco-distilbert-tas-b | 563fad59e86021cb50f97513e88e549af3ee992e | 2022-06-15T22:37:26.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-quora-document_encoder-base-msmarco-distilbert-tas-b | 6bc478ca9afa13e32bafba975be773bead18c578 | 2022-06-15T22:39:05.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-scidocs-question_encoder-base-msmarco-distilbert-tas-b | 259262a072d3d0cb98b84fb7eba3ee6804e97c72 | 2022-06-15T22:48:35.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-scidocs-document_encoder-base-msmarco-distilbert-tas-b | efd83b6678418cdf9e4d9e0e87f95e42c281b8d8 | 2022-06-15T22:49:10.000Z | [
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license: apache-2.0
---
|
income/jpq-genq-scifact-document_encoder-base-msmarco-distilbert-tas-b | aac91bc108b03aae36f1353ccba34b614bacb1a8 | 2022-06-15T22:50:10.000Z | [
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license: apache-2.0
---
|
huggingtweets/43folders-hotdogsladies | e7c279afea975d9812be130d1a3afe63d7dacba8 | 2022-06-15T23:14:40.000Z | [
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"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/43folders-hotdogsladies | 1 | null | transformers | 32,936 | ---
language: en
thumbnail: http://www.huggingtweets.com/43folders-hotdogsladies/1655334875186/predictions.png
tags:
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widget:
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---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-rig... |
gary109/ai-light-dance_singing_wav2vec2-large-xlsr-53-5gram | 66cd384b15b59cd1f0a57c32a0be0ea7061df166 | 2022-06-16T01:42:47.000Z | [
"pytorch",
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"transformers"
] | automatic-speech-recognition | false | gary109 | null | gary109/ai-light-dance_singing_wav2vec2-large-xlsr-53-5gram | 1 | null | transformers | 32,937 | Entry not found |
ryo0634/luke-base-embedding-predictor-20181220-concat | b4d8a51825d49a99b11a7c98152afb81bbdc2535 | 2022-06-16T02:27:11.000Z | [
"pytorch",
"luke",
"transformers"
] | null | false | ryo0634 | null | ryo0634/luke-base-embedding-predictor-20181220-concat | 1 | null | transformers | 32,938 | Train with the hyperlink dataset from en-wiki-20181220 of the entity vocabulary (0-400K).
The base model is studio-ousia/luke-base. |
huggingtweets/fushidahardy | ce430a0cced44dbb7ddb4fef42a8bc187999d7bb | 2022-06-16T03:42:42.000Z | [
"pytorch",
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"transformers",
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] | text-generation | false | huggingtweets | null | huggingtweets/fushidahardy | 1 | null | transformers | 32,939 | ---
language: en
thumbnail: http://www.huggingtweets.com/fushidahardy/1655350909485/predictions.png
tags:
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widget:
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---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; wi... |
huggingtweets/shammytv | 656196abe8b40549103f95fbfd3f0d1e8638c6c1 | 2022-06-16T05:07:23.000Z | [
"pytorch",
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] | text-generation | false | huggingtweets | null | huggingtweets/shammytv | 1 | null | transformers | 32,940 | ---
language: en
thumbnail: http://www.huggingtweets.com/shammytv/1655356038315/predictions.png
tags:
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widget:
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---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width:... |
Nadav/xlm-roberta-base-finetuned-on-runaways-fr | f2eb0aa7f1ba438246bae540360c7eb11f3a8da1 | 2022-06-19T15:12:08.000Z | [
"pytorch",
"xlm-roberta",
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Nadav/xlm-roberta-base-squad-finetuned-on-runaways-fr | 16d720034839504d55f0987644a5027143039b96 | 2022-06-19T16:42:57.000Z | [
"pytorch",
"xlm-roberta",
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"transformers",
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] | question-answering | false | Nadav | null | Nadav/xlm-roberta-base-squad-finetuned-on-runaways-fr | 1 | null | transformers | 32,942 | Entry not found |
Addedk/kbbert-distilled-cased | 7e6660109b82dfb90f7a624a5135d22468e86402 | 2022-07-18T14:14:12.000Z | [
"pytorch",
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"sv",
"arxiv:2103.06418",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Addedk | null | Addedk/kbbert-distilled-cased | 1 | 1 | transformers | 32,943 | ---
language: sv
license: apache-2.0
---
# KB-BERT distilled base model (cased)
This model is a distilled version of [KB-BERT](https://huggingface.co/KB/bert-base-swedish-cased). It was distilled using Swedish data, the 2010-2015 portion of the [Swedish Culturomics Gigaword Corpus](https://spraakbanken.gu.se/en/resou... |
good-ai-club/NBB | 459cfe319968e35cdd5bf6c7c7932d8cc2e94966 | 2022-06-16T08:51:44.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | good-ai-club | null | good-ai-club/NBB | 1 | null | sentence-transformers | 32,944 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
roymukund/xlm-roberta-base-finetuned-ner | 73a88bb38a01c9bc95fa9ce80d5a6d194ec91555 | 2022-06-16T20:32:08.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"dataset:hi_ner-original",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | roymukund | null | roymukund/xlm-roberta-base-finetuned-ner | 1 | null | transformers | 32,945 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- hi_ner-original
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: xlm-roberta-base-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: hi_ner-original
type: hi_ner... |
janeel/tinyroberta-squad2-finetuned-squad | bbbb15cc9754966f1f3454c1143812a4097bca5b | 2022-06-19T08:51:09.000Z | [
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | janeel | null | janeel/tinyroberta-squad2-finetuned-squad | 1 | null | transformers | 32,946 | ---
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: tinyroberta-squad2-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 t... |
income/bpr-gpl-webis-touche2020-base-msmarco-distilbert-tas-b | 76ee22e524c9d49a9e34498b9b9cfd3f289c41b4 | 2022-06-16T17:58:08.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-webis-touche2020-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,947 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-trec-news-base-msmarco-distilbert-tas-b | 4fb42b68b1fef5018ea8b9e7ee663214c5781570 | 2022-06-16T17:59:18.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-trec-news-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,948 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-trec-covid-base-msmarco-distilbert-tas-b | 27ce375acf65d524100ddea534d136e2ee7361fc | 2022-06-16T18:00:33.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-trec-covid-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,949 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-signal1m-base-msmarco-distilbert-tas-b | 2d66071e8b6799f4a9c4cb5017e0fb861d0c3c76 | 2022-06-16T18:02:31.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-signal1m-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,950 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-scidocs-base-msmarco-distilbert-tas-b | 6e47641a22bb4932844c5e2991b9fff4d1eef86c | 2022-06-16T18:07:08.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-scidocs-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,951 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-robust04-base-msmarco-distilbert-tas-b | 341493d0a26d1c186f0e4e6cb0526ebe0a467b5d | 2022-06-16T18:10:03.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-robust04-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,952 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-quora-base-msmarco-distilbert-tas-b | 3a4b917039aaae7a2b1ecdfaca6e6ea5362ba9bd | 2022-06-16T18:14:29.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-quora-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,953 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-nq-base-msmarco-distilbert-tas-b | 6b0c9249c2e1f24cb79bc38fc94f1bbc5a958c7c | 2022-06-16T18:15:23.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-nq-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,954 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-nfcorpus-base-msmarco-distilbert-tas-b | 36dea9161d802901e2c206f9f689f7e66f08a522 | 2022-06-16T18:17:34.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-nfcorpus-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,955 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-hotpotqa-base-msmarco-distilbert-tas-b | 047170edc7fa8442a4a455132ce17333200802f6 | 2022-06-16T18:19:52.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-hotpotqa-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,956 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-fiqa-base-msmarco-distilbert-tas-b | 2f6edf788df69260d53dd94f5999bb8ab6d90ef8 | 2022-06-16T18:21:26.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-fiqa-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,957 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-fever-base-msmarco-distilbert-tas-b | 76a67d925b14d8f4abf4abadea7e2001e372808c | 2022-06-16T18:22:17.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-fever-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,958 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-dbpedia-entity-base-msmarco-distilbert-tas-b | 824b93e566e2b73c3b76aedb4eb365c4b34eef89 | 2022-06-16T18:23:49.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-dbpedia-entity-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,959 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-climate-fever-base-msmarco-distilbert-tas-b | 3f4f28f4de68aa390d17c7a9a4220cbf995fbec6 | 2022-06-16T18:25:16.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-climate-fever-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,960 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
income/bpr-gpl-arguana-base-msmarco-distilbert-tas-b | 5321885fd29a7a7dedc7132d416cf1bb461df462 | 2022-06-16T18:28:01.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | income | null | income/bpr-gpl-arguana-base-msmarco-distilbert-tas-b | 1 | null | sentence-transformers | 32,961 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
S2312dal/M3_MLM | 300c0c02f6b25d5542e4a46b29e36aeabae749c4 | 2022-06-16T19:46:04.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | S2312dal | null | S2312dal/M3_MLM | 1 | null | transformers | 32,962 | ---
tags:
- generated_from_trainer
model-index:
- name: M3_MLM
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. -->
# M3_MLM
This model is a fine-tuned version of [S... |
S2312dal/M4_MLM | 5c5578287359ae3bb6da116e0358d7c2e615e54b | 2022-06-16T19:42:02.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | S2312dal | null | S2312dal/M4_MLM | 1 | null | transformers | 32,963 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: M4_MLM
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. -->
# M4_MLM
This model is a fine... |
eplatas/scibert_scivocab_uncased_finetuned_leukaemia | 3847812f20b5acf3a76b2c95279193c13a1ec0d9 | 2022-06-16T20:01:22.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-generation",
"transformers",
"generated_from_trainer",
"model-index"
] | text-generation | false | eplatas | null | eplatas/scibert_scivocab_uncased_finetuned_leukaemia | 1 | null | transformers | 32,964 | ---
tags:
- generated_from_trainer
model-index:
- name: scibert_scivocab_uncased_finetuned_leukaemia
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. -->
# scibert_sc... |
huggingtweets/chrishemsworth-deadpoolmovie | e0a7491d6df2c7a41df6ac7e0220a95a3e7ebdc1 | 2022-06-16T23:26:07.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/chrishemsworth-deadpoolmovie | 1 | null | transformers | 32,965 | ---
language: en
thumbnail: http://www.huggingtweets.com/chrishemsworth-deadpoolmovie/1655421962384/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margi... |
huggingtweets/fawfulthgreat64 | 6091494da27a3e63f358b95d953a984f0edd0875 | 2022-06-17T00:31:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/fawfulthgreat64 | 1 | null | transformers | 32,966 | ---
language: en
thumbnail: http://www.huggingtweets.com/fawfulthgreat64/1655425906757/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px;... |
huggingtweets/tomcruise | ef6ecc3ef6a45c19efa81a01feafd2fc1143a1e4 | 2022-06-17T01:00:02.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/tomcruise | 1 | null | transformers | 32,967 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
huggingtweets/mcdonaldsuk-potus-tomcruise | b80c60ae6e9a818f6d6c54e7faa6366a9cd2aba8 | 2022-06-17T01:44:54.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/mcdonaldsuk-potus-tomcruise | 1 | null | transformers | 32,968 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
lmqg/t5-large-squadshifts-amazon | dff928cd916982b9258d71a756a7b3ec53dff59e | 2022-06-17T02:31:28.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/t5-large-squadshifts-amazon | 1 | null | transformers | 32,969 | Entry not found |
neuralmagic/oBERT-12-upstream-pruned-unstructured-97-finetuned-mnli-v2 | 2a910979e7c5e556e9a54f6c6c87487ea1423e17 | 2022-06-20T11:36:51.000Z | [
"pytorch",
"en",
"dataset:mnli",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-upstream-pruned-unstructured-97-finetuned-mnli-v2 | 1 | null | null | 32,970 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: mnli
---
# oBERT-12-upstream-pruned-unstructured-97-finetuned-mnli-v2
This model is obtained with [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07259).
It c... |
botika/checkpoint-124500-finetuned-squad | 5dab949e1c03afe043de31f361822045ed178de6 | 2022-06-19T05:53:11.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | botika | null | botika/checkpoint-124500-finetuned-squad | 1 | null | transformers | 32,971 | ---
tags:
- generated_from_trainer
model-index:
- name: checkpoint-124500-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. -->
# checkpoint-124500-fin... |
S2312dal/M5_MLM | 1d28b1c7f62cb935a0aa88617c2ea8b023bc7865 | 2022-06-17T08:25:48.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | S2312dal | null | S2312dal/M5_MLM | 1 | null | transformers | 32,972 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: M5_MLM
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. -->
# M5_MLM
This model is a fine-tuned ... |
S2312dal/M7_MLM | cb0e5ee487aa46fff06386d2c0c63b2bcf3f4acb | 2022-06-17T08:49:00.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | S2312dal | null | S2312dal/M7_MLM | 1 | null | transformers | 32,973 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: M7_MLM
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. -->
# M7_MLM
This model is a fine... |
S2312dal/M8_MLM | 043d1e6891fde585eb80813065b7c58c5c300773 | 2022-06-17T08:55:06.000Z | [
"pytorch",
"tensorboard",
"albert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | S2312dal | null | S2312dal/M8_MLM | 1 | null | transformers | 32,974 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: M8_MLM
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. -->
# M8_MLM
This model is a fine... |
ahujaniharika95/roberta-base-squad2-finetuned-squad | 4097c98bac7c851c6c25300cb54ea4af13491a5b | 2022-06-21T14:06:07.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | ahujaniharika95 | null | ahujaniharika95/roberta-base-squad2-finetuned-squad | 1 | null | transformers | 32,975 | Entry not found |
Sanjeev49/mariaJ | de7b52d7b10d556c43d0e4c40a22d5e0b35b1fe6 | 2022-06-20T08:59:55.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Sanjeev49 | null | Sanjeev49/mariaJ | 1 | 1 | transformers | 32,976 | This model translate engilish to romanian language. This model has been build using Helsinki-NLP/opus-mt-en-ro prebuild model. The dataset has been used for this model was "wmt16", "ro-en" dataset. Tensorflow has been used for finetunning this model. Trainning epoch was 1 for this for finetunning model. |
anibahug/marian-finetuned-kde4-en-to-ar | 0aadad8db21e057eb0e48cd18c73c790da60e722 | 2022-06-18T15:19:04.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"dataset:kde4",
"transformers",
"translation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | anibahug | null | anibahug/marian-finetuned-kde4-en-to-ar | 1 | null | transformers | 32,977 | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
datasets:
- kde4
model-index:
- name: marian-finetuned-kde4-en-to-ar
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 r... |
sasuke/gpt2-wikitext2 | 872563c729363b8d00bc0927ed1cbab2a622972b | 2022-06-17T15:02:05.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | sasuke | null | sasuke/gpt2-wikitext2 | 1 | null | transformers | 32,978 | Entry not found |
loubnabnl/codeparrot-small-near-dedup | 015e1dc76630179d0f4f84c4e013d1cf272e2e73 | 2022-06-18T20:59:13.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:apache-2.0"
] | text-generation | false | loubnabnl | null | loubnabnl/codeparrot-small-near-dedup | 1 | null | transformers | 32,979 | ---
license: apache-2.0
---
|
ericklerouge123/xlm-roberta-base-finetuned-panx-de | c4f16c55b3b4f76be260c09cfec9a748f87398bc | 2022-07-14T14:05:25.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | ericklerouge123 | null | ericklerouge123/xlm-roberta-base-finetuned-panx-de | 1 | null | transformers | 32,980 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- name:... |
gemasphi/laprador_f | dfd84070c29a7dde6f62f7f3563ece4f625846db | 2022-06-17T21:11:03.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | gemasphi | null | gemasphi/laprador_f | 1 | null | sentence-transformers | 32,981 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# gemasphi/laprador_f
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 like ... |
NadiaSan/udesa-model-aah-es-r-25k | 6a18c4f689fd87c77c8695098d0064e4bf2af17d | 2022-06-17T21:46:41.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | NadiaSan | null | NadiaSan/udesa-model-aah-es-r-25k | 1 | 1 | transformers | 32,982 | Entry not found |
huggingtweets/datgameryolo | ef136183c1a5d246a7e99761aa5a38f109e412d8 | 2022-06-17T21:54:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/datgameryolo | 1 | null | transformers | 32,983 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v1 | 7fd58da77ca825df970a0275deecd4aecbbbcbc8 | 2022-06-19T00:31:50.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"gary109/AI_Light_Dance",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | gary109 | null | gary109/ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v1 | 1 | 1 | transformers | 32,984 | ---
tags:
- automatic-speech-recognition
- gary109/AI_Light_Dance
- generated_from_trainer
model-index:
- name: ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably p... |
Nadav/xlm-roberta-base-finetuned-on-runaways-nl | 496f09bdc454609e32a9ee2e69797dbf96e28ba4 | 2022-06-18T09:21:01.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Nadav | null | Nadav/xlm-roberta-base-finetuned-on-runaways-nl | 1 | null | transformers | 32,985 | Entry not found |
Nadav/xlm-roberta-base-squad-finetuned-on-runaways-nl | e8cc869c4aeb235f0602d3c0e39d382b5c3d7351 | 2022-06-18T09:35:01.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | Nadav | null | Nadav/xlm-roberta-base-squad-finetuned-on-runaways-nl | 1 | null | transformers | 32,986 | Entry not found |
nestoralvaro/mt5-small-test-amazon | 048612a9d0bc57f8459c26255f7d979b30cd0a35 | 2022-06-18T11:51:27.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | nestoralvaro | null | nestoralvaro/mt5-small-test-amazon | 1 | null | transformers | 32,987 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-test-amazon
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 t... |
nestoralvaro/mt5-small-test-amazon-v2 | e51192da19b5de9674cd8e980f2ccdc3cd5b2fac | 2022-06-18T13:28:50.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | nestoralvaro | null | nestoralvaro/mt5-small-test-amazon-v2 | 1 | null | transformers | 32,988 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-test-amazon-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... |
lmqg/t5-base-subjqa-vanilla-books | deba1ae6667bc99f8f6b14c6ec4424c65816c0aa | 2022-06-18T13:56:44.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/t5-base-subjqa-vanilla-books | 1 | null | transformers | 32,989 | Entry not found |
janeel/roberta-base-finetuned-squad | 855f5d44926eebe4dc17bcff5c4816f8c6a911a0 | 2022-06-19T04:32:50.000Z | [
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | janeel | null | janeel/roberta-base-finetuned-squad | 1 | null | transformers | 32,990 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: roberta-base-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.... |
lmqg/t5-small-subjqa-vanilla-books | e9c77fc653b6b95d68c3c34fb05affc9d2fefe82 | 2022-06-18T14:12:46.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/t5-small-subjqa-vanilla-books | 1 | null | transformers | 32,991 | Entry not found |
nestoralvaro/mt5-small-test-ged-RAW_data_prep_2021_12_26___t1_7.csv_max_target_length_10 | 8181d57191af9c14430383fe567fb9a8e3d6fccc | 2022-06-19T13:34:09.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | nestoralvaro | null | nestoralvaro/mt5-small-test-ged-RAW_data_prep_2021_12_26___t1_7.csv_max_target_length_10 | 1 | null | transformers | 32,992 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-test-ged-RAW_data_prep_2021_12_26___t1_7.csv_max_target_length_10
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
sh... |
anibahug/mt5-small-finetuned-amazon-en-de | d80260e66cca53283da0158f03b6f5fd50651fb6 | 2022-06-18T15:39:26.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | anibahug | null | anibahug/mt5-small-finetuned-amazon-en-de | 1 | null | transformers | 32,993 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-de
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... |
Aktsvigun/bert-base-xsum | 17f568f47ecadd544cbef785b79a8efa9108a72a | 2022-06-18T14:36:38.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Aktsvigun | null | Aktsvigun/bert-base-xsum | 1 | null | transformers | 32,994 | Entry not found |
theojolliffe/bart-cnn-science-v3-e5-v4-e6-manual | 08df59da3475bd7c37d88c144e023e762b0991ee | 2022-06-18T15:08:31.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-cnn-science-v3-e5-v4-e6-manual | 1 | null | transformers | 32,995 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-science-v3-e5-v4-e6-manual
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... |
theojolliffe/bart-cnn-science-v3-e1-v4-e4-manual | c34a75fa85fecd210301a24cdef773f835c730b5 | 2022-06-18T17:13:00.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-cnn-science-v3-e1-v4-e4-manual | 1 | null | transformers | 32,996 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-science-v3-e1-v4-e4-manual
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... |
theojolliffe/bart-cnn-science-v3-e1-v4-e6-manual | acc39f3fac80b87c4a969fa20df0c4f32de77721 | 2022-06-18T17:37:36.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-cnn-science-v3-e1-v4-e6-manual | 1 | null | transformers | 32,997 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-science-v3-e1-v4-e6-manual
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... |
NadiaSan/udesa-model-aah-es-b-25k | bfcecde3ece414ea8cc32dbc4a499ee6439e9b58 | 2022-06-18T22:25:56.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | NadiaSan | null | NadiaSan/udesa-model-aah-es-b-25k | 1 | null | transformers | 32,998 | Entry not found |
anugunj/omnivore-swinL-in21k | d71828fffd64ae94a6f6d26ab8d547ed45b4eb37 | 2022-06-19T00:18:18.000Z | [
"pytorch",
"omnivore",
"transformers"
] | null | false | anugunj | null | anugunj/omnivore-swinL-in21k | 1 | null | transformers | 32,999 | Entry not found |
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