Datasets:
davanstrien
/
pytorchmodelmetadata

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Kevincp560/distilbart-cnn-6-6-finetuned-pubmed
e0ae1c730da838d3fa0746669a63165714b9ec05
2022-03-04T17:56:48.000Z
[ "pytorch", "tensorboard", "bart", "text2text-generation", "dataset:pub_med_summarization_dataset", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
text2text-generation
false
Kevincp560
null
Kevincp560/distilbart-cnn-6-6-finetuned-pubmed
16
null
transformers
9,300
--- license: apache-2.0 tags: - generated_from_trainer datasets: - pub_med_summarization_dataset metrics: - rouge model-index: - name: distilbart-cnn-6-6-finetuned-pubmed results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: pub_med_summarizati...
sultan/BioM-BERT-PubMed-PMC-Large
fc12fe4acc99d4ee412fcd3fe768b91d851a7ec8
2022-03-06T19:39:01.000Z
[ "pytorch", "electra", "pretraining", "transformers" ]
null
false
sultan
null
sultan/BioM-BERT-PubMed-PMC-Large
16
null
transformers
9,301
# 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 ...
hyechanjun/interview-question-remake
c4bd2f0f8dae1d08a3d4ff5c53ba705a84b575f6
2022-03-07T17:57:47.000Z
[ "pytorch", "bart", "text2text-generation", "dataset:INTERVIEW: NPR Media Dialog Transcripts", "transformers", "autotrain_compatible" ]
text2text-generation
false
hyechanjun
null
hyechanjun/interview-question-remake
16
null
transformers
9,302
--- datasets: - "INTERVIEW: NPR Media Dialog Transcripts" --- # AI Interviewer Question-Asking Model For a Senior Project at Calvin University Created by: Hyechan Jun, Ha-Ram Koo, and Advait Scaria This model is fine-tuned on facebook/bart-base to generate sequences ending in a question mark (?). It is a remake of ...
Chayawat/opus-mt-en-mul-finetuned-en-to-th
b22e798c4b6cb81946d18f49a95c7926b0626979
2022-03-11T03:32:13.000Z
[ "pytorch", "tensorboard", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
false
Chayawat
null
Chayawat/opus-mt-en-mul-finetuned-en-to-th
16
null
transformers
9,303
Entry not found
edubz/anne_bradstreet
3742af577c35ec39b2c9533b7e08d4690ae42bbc
2022-03-09T23:44:03.000Z
[ "pytorch", "bert", "text-classification", "transformers", "license:mit" ]
text-classification
false
edubz
null
edubz/anne_bradstreet
16
1
transformers
9,304
--- license: mit --- This model was trained on a new dataset composed of available poems by Anne Bradstreet hosted by [Public Domain Poetry.](https://www.public-domain-poetry.com/anne-bradstreet) Specifically I downloaded all 40 poems and fine-tuned a bert-base-uncased text classification model on Amazon SageMaker. ...
everdoubling/byt5-Korean-small
19e0bc2f3ed5b723c2c36903eed6f14beb037d8a
2022-03-12T15:43:05.000Z
[ "pytorch", "t5", "text2text-generation", "dataset:mc4", "transformers", "license:apache-2.0", "autotrain_compatible" ]
text2text-generation
false
everdoubling
null
everdoubling/byt5-Korean-small
16
2
transformers
9,305
--- datasets: - mc4 license: apache-2.0 --- # ByT5-Korean - small ByT5-Korean is a Korean specific extension of Google's [ByT5](https://github.com/google-research/byt5). A Korean syllable has three components (called Jamo): a beginning consonant, a middle vowel, and an optional final consonant; they are li...
Neulvo/bert-finetuned-ner
481498073bc49c16700efcaf504d9a7ee46c161d
2022-03-15T15:50:15.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
Neulvo
null
Neulvo/bert-finetuned-ner
16
null
transformers
9,306
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 args: c...
sap-ai-research/BERT-base-uncased-SCD-ACL2022
b0432a9e3ccaa3de76f98eacbd489017c9ae8d28
2022-03-16T00:38:09.000Z
[ "pytorch", "bert", "feature-extraction", "transformers", "license:apache-2.0" ]
feature-extraction
false
sap-ai-research
null
sap-ai-research/BERT-base-uncased-SCD-ACL2022
16
null
transformers
9,307
--- license: apache-2.0 ---
tareknaous/dialogpt-empathetic-dialogues
b5954b503a98a159381515e3ef3b15202f8374b2
2022-03-16T18:11:17.000Z
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
false
tareknaous
null
tareknaous/dialogpt-empathetic-dialogues
16
null
transformers
9,308
Entry not found
cambridgeltl/simctg_realtoxicityprompts
3f5dbe468a733df3565dea80816adc5aa3e073d6
2022-03-16T21:43:04.000Z
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
false
cambridgeltl
null
cambridgeltl/simctg_realtoxicityprompts
16
null
transformers
9,309
Entry not found
amir36/bert-finetuned-ner
6b3321308084789b5b4040c913f8578f9df814c5
2022-03-17T12:10:24.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
amir36
null
amir36/bert-finetuned-ner
16
null
transformers
9,310
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 args: c...
iftekher/bangla_voice
d8e8e83c6197bc3c16d5d672539e0bdab243dabb
2022-05-30T10:03:21.000Z
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "model-index" ]
automatic-speech-recognition
false
iftekher
null
iftekher/bangla_voice
16
1
transformers
9,311
--- tags: - generated_from_trainer model-index: - name: bangla_voice 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. --> # bangla_voice This model is a fine-tuned v...
celine98/canine-s-finetuned-sst2
3e85d1e3ddb84b98b0766fe587763f45dd6fb821
2022-03-22T09:47:45.000Z
[ "pytorch", "tensorboard", "canine", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
false
celine98
null
celine98/canine-s-finetuned-sst2
16
null
transformers
9,312
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy model-index: - name: canine-s-finetuned-sst2 results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue args: sst2 metrics: - name: Accuracy ...
avishvj/biobert-protein-ner
877faa1656b73ef75b2807614f45f37316f90d6c
2022-03-22T09:51:20.000Z
[ "pytorch", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
avishvj
null
avishvj/biobert-protein-ner
16
null
transformers
9,313
Entry not found
Wende/bert-finetuned-ner
ddcc13b7b2f4b6b314d132f237005e95c59f1bad
2022-03-25T16:19:13.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
Wende
null
Wende/bert-finetuned-ner
16
null
transformers
9,314
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 args: c...
AFreud/bert-base-romanian-ner-finetuned-ner
1320a3cf9902d2b5a19417017b9a05a3cd7e7646
2022-03-27T06:43:39.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "generated_from_trainer", "license:mit", "model-index", "autotrain_compatible" ]
token-classification
false
AFreud
null
AFreud/bert-base-romanian-ner-finetuned-ner
16
null
transformers
9,315
--- license: mit tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: bert-base-romanian-ner-finetuned-ner results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and compl...
princeton-nlp/CoFi-QNLI-s95
7d6224418fece2b0e8d484dea11574c4cacd74f2
2022-05-01T01:20:12.000Z
[ "pytorch", "bert", "text-classification", "arxiv:2204.00408", "transformers" ]
text-classification
false
princeton-nlp
null
princeton-nlp/CoFi-QNLI-s95
16
null
transformers
9,316
This is a model checkpoint for "[Structured Pruning Learns Compact and Accurate Models](https://arxiv.org/pdf/2204.00408.pdf)". The model is pruned from `bert-base-uncased` to a 95% sparsity on dataset QNLI. Please go to [our repository](https://github.com/princeton-nlp/CoFiPruning) for more details on how to use the m...
yonichi/cbert
f24c441b2d40180c4d7728199221d07e2e6e960a
2022-03-31T20:40:34.000Z
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
false
yonichi
null
yonichi/cbert
16
null
transformers
9,317
hackathon-pln-es/roberta-base-biomedical-clinical-es-squad2-es
5f440e803f67d5f6ab528ae744aef81dd1dcfeed
2022-04-03T14:51:24.000Z
[ "pytorch", "roberta", "question-answering", "es", "dataset:squad_es", "dataset:hackathon-pln-es/biomed_squad_es_v2", "transformers", "autotrain_compatible" ]
question-answering
false
hackathon-pln-es
null
hackathon-pln-es/roberta-base-biomedical-clinical-es-squad2-es
16
null
transformers
9,318
--- language: es datasets: - squad_es - hackathon-pln-es/biomed_squad_es_v2 metrics: - "f1" --- # roberta-base-biomedical-clinical-es for QA This model was trained as part of the "Extractive QA Biomedicine" project developed during the 2022 [Hackathon](https://somosnlp.org/hackathon) organized by SOMOS NLP. ## Mot...
alexjercan/codet5-base-buggy-error-description
5c6897edc1220c485674673ae2994a2a078d1195
2022-04-09T11:26:28.000Z
[ "pytorch", "t5", "text2text-generation", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
text2text-generation
false
alexjercan
null
alexjercan/codet5-base-buggy-error-description
16
1
transformers
9,319
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: codet5-base-buggy-error-description 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. --> #...
Miniproject/BERT
77adb28c4f34a1efccc0cfb19de58282fe50c17e
2022-04-07T20:26:36.000Z
[ "pytorch", "jax", "bert", "text-classification", "en", "transformers" ]
text-classification
false
Miniproject
null
Miniproject/BERT
16
null
transformers
9,320
--- language: - en --- # Bert-base-uncased-sentiment BERT stands for Bidirectional Encoder Representations from Transformers. It is a recent paper published by researchers at Google AI Language. BERT makes use of Transformer, an attention mechanism that learns contextual relations between words (or sub-words) in a t...
Fredvv/bert-finetuned-pos
cd8fe5aa696527dcbb182c4aef1d6103da166ca2
2022-04-07T13:49:18.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
Fredvv
null
Fredvv/bert-finetuned-pos
16
null
transformers
9,321
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-pos results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 args: c...
course5i/SEAD-L-6_H-384_A-12-sst2
1678ebacee0aa256592d4deb70e37d95aa36c93b
2022-06-12T19:44:40.000Z
[ "pytorch", "tf", "jax", "bert", "text-classification", "en", "dataset:glue", "dataset:sst2", "arxiv:1910.01108", "arxiv:1909.10351", "arxiv:2002.10957", "arxiv:1810.04805", "arxiv:1804.07461", "arxiv:1905.00537", "transformers", "SEAD", "license:apache-2.0" ]
text-classification
false
course5i
null
course5i/SEAD-L-6_H-384_A-12-sst2
16
null
transformers
9,322
--- language: - en license: apache-2.0 tags: - SEAD datasets: - glue - sst2 --- ## Paper ## [SEAD: SIMPLE ENSEMBLE AND KNOWLEDGE DISTILLATION FRAMEWORK FOR NATURAL LANGUAGE UNDERSTANDING](https://www.adasci.org/journals/lattice-35309407/?volumes=true&open=621a3b18edc4364e8a96cb63) Aurthors: *Moyan Mei*, *Rohit Sroch*...
V3RX2000/distilbert-base-uncased-finetuned-emotion
dc2c8257ace8b1df1ad8485eb089f7507bca2ebe
2022-04-10T12:32:05.000Z
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:emotion", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
false
V3RX2000
null
V3RX2000/distilbert-base-uncased-finetuned-emotion
16
null
transformers
9,323
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion args: default...
issifuamajeed/distilbert-base-uncased-finetuned-ner
d5394ab8ea800da640f0217566423f6dd86ecf22
2022-07-13T16:41:05.000Z
[ "pytorch", "tensorboard", "distilbert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
issifuamajeed
null
issifuamajeed/distilbert-base-uncased-finetuned-ner
16
null
transformers
9,324
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: distilbert-base-uncased-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conl...
azert99/finetuning-sentiment-model-3000-samples
dbb7b5fb066f6ff06dc8ee8161b14d3748276786
2022-04-18T04:48:42.000Z
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:imdb", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
false
azert99
null
azert99/finetuning-sentiment-model-3000-samples
16
null
transformers
9,325
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuning-sentiment-model-3000-samples results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb args: plain_text met...
IDEA-CCNL/Taiyi-Roberta-124M-D
ede33581f91dce029e0037b31a6371986ae83798
2022-06-13T03:26:46.000Z
[ "pytorch", "roberta", "fill-mask", "en", "transformers", "mutlimodal", "exbert", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
false
IDEA-CCNL
null
IDEA-CCNL/Taiyi-Roberta-124M-D
16
null
transformers
9,326
--- language: - en license: apache-2.0 tags: - roberta - mutlimodal - exbert inference: false --- # Taiyi-Roberta-124M-D model (English) Based on pre-trained Roberta-base, we introduce multimodal information. For multimodal pre-training tasks, we design several special training objectives in our paper. Our cod...
facebook/wav2vec2-conformer-rel-pos-large-100h-ft
9c280b44d714e16b3d250a8793379167babd14d7
2022-06-15T08:17:00.000Z
[ "pytorch", "wav2vec2-conformer", "automatic-speech-recognition", "en", "dataset:librispeech_asr", "arxiv:2010.05171", "transformers", "speech", "audio", "hf-asr-leaderboard", "license:apache-2.0" ]
automatic-speech-recognition
false
facebook
null
facebook/wav2vec2-conformer-rel-pos-large-100h-ft
16
null
transformers
9,327
--- language: en datasets: - librispeech_asr tags: - speech - audio - automatic-speech-recognition - hf-asr-leaderboard license: apache-2.0 --- # Wav2Vec2-Conformer-Large-100h with Relative Position Embeddings [Facebook's Wav2Vec2 Conformer (TODO-add link)]() Wav2Vec2 Conformer with relative position embeddings, pre...
rmihaylov/pegasus-base-cnn-dailymail-bg
e012d00e071a26ea235e091e9dee71471ef7cb2d
2022-04-19T08:34:13.000Z
[ "pytorch", "pegasus", "text2text-generation", "bg", "dataset:oscar", "dataset:chitanka", "dataset:wikipedia", "arxiv:1912.08777", "transformers", "torch", "license:mit", "autotrain_compatible" ]
text2text-generation
false
rmihaylov
null
rmihaylov/pegasus-base-cnn-dailymail-bg
16
null
transformers
9,328
--- inference: false language: - bg license: mit datasets: - oscar - chitanka - wikipedia tags: - torch --- # PEGASUS BASE This model was pretrained on Bulgarian language. It was intorduced in [this paper](https://arxiv.org/pdf/1912.08777.pdf). ## Model description The training data is private Bulgarian text from ...
GPL/scidocs-tsdae-msmarco-distilbert-margin-mse
7d01e82612fb5cbd52094177ad4bcb991879873f
2022-04-19T16:47:04.000Z
[ "pytorch", "distilbert", "feature-extraction", "transformers" ]
feature-extraction
false
GPL
null
GPL/scidocs-tsdae-msmarco-distilbert-margin-mse
16
null
transformers
9,329
Entry not found
liamcripwell/ctrl44-clf
e8c1525c9ca02c30e4562cff4d621f2202d82d98
2022-04-21T09:32:40.000Z
[ "pytorch", "roberta", "text-classification", "en", "transformers" ]
text-classification
false
liamcripwell
null
liamcripwell/ctrl44-clf
16
null
transformers
9,330
--- language: en --- # CTRL44 Classification model This is a pretrained version of the 4-class simplification operation classifier presented in the NAACL 2022 paper "Controllable Sentence Simplification via Operation Classification". It was trained on the IRSD classification dataset. Predictions from this model can ...
Intel/xlnet-base-cased-mrpc-int8-static
930f30d3010954dc933050555478366176bfeb83
2022-06-10T02:42:26.000Z
[ "pytorch", "xlnet", "text-classification", "en", "dataset:glue", "transformers", "text-classfication", "int8", "Intel® Neural Compressor", "PostTrainingStatic", "license:mit", "model-index" ]
text-classification
false
Intel
null
Intel/xlnet-base-cased-mrpc-int8-static
16
null
transformers
9,331
--- language: - en license: mit tags: - text-classfication - int8 - Intel® Neural Compressor - PostTrainingStatic datasets: - glue metrics: - f1 model-index: - name: xlnet-base-cased-mrpc-int8-static results: - task: name: Text Classification type: text-classification dataset: name: GLUE MRPC ...
ysharma/convnext-tiny-eurosat2700-finetuned
22ad9befc9bb7daf1c21058f49c20afccc634d42
2022-04-23T22:54:43.000Z
[ "pytorch", "convnext", "image-classification", "transformers" ]
image-classification
false
ysharma
null
ysharma/convnext-tiny-eurosat2700-finetuned
16
null
transformers
9,332
Entry not found
lightonai/RITA_xl
6866305411c6ab97b5ba7f1fd8049b9059999962
2022-05-19T08:23:02.000Z
[ "pytorch", "rita", "text-generation", "protein", "dataset:uniref-100", "arxiv:2205.05789", "transformers" ]
text-generation
false
lightonai
null
lightonai/RITA_xl
16
2
transformers
9,333
--- language: protein tags: - protein datasets: - uniref-100 --- # RITA-XL RITA is a family of autoregressive protein models, developed by a collaboration of [Lighton](https://lighton.ai/), the [OATML group](https://oatml.cs.ox.ac.uk/) at Oxford, and the [Debbie Marks Lab](https://www.deboramarkslab.com/) at Harvard....
hustvl/yolos-small-dwr
4a603978475efb3929cdcc076c4ef73f38c020c0
2022-06-27T08:38:00.000Z
[ "pytorch", "yolos", "object-detection", "dataset:coco", "arxiv:2106.00666", "transformers", "vision", "license:apache-2.0" ]
object-detection
false
hustvl
null
hustvl/yolos-small-dwr
16
1
transformers
9,334
--- license: apache-2.0 tags: - object-detection - vision datasets: - coco widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg example_title: Savanna - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg example_title: Football Match - s...
Alassea/glue_sst_classifier
72560eb034a46daa0a0c14afb66a742da92de336
2022-04-26T12:20:06.000Z
[ "pytorch", "tensorboard", "bert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
false
Alassea
null
Alassea/glue_sst_classifier
16
null
transformers
9,335
--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - f1 - accuracy model-index: - name: glue_sst_classifier results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue args: sst2 metrics: - name: F1 ...
manueltonneau/bert-twitter-en-job-search
73c2428b3433fb69a89587baca524aff78f4157e
2022-04-26T15:59:06.000Z
[ "pytorch", "bert", "text-classification", "en", "arxiv:2203.09178", "transformers" ]
text-classification
false
manueltonneau
null
manueltonneau/bert-twitter-en-job-search
16
null
transformers
9,336
--- language: en # <-- my language widget: - text: "Job hunting!" --- # Detection of employment status disclosures on Twitter ## Model main characteristics: - class: Job Search (1), else (0) - country: US - language: English - architecture: BERT base ## Model description This model is a version of `DeepPa...
nbroad/longformer-base-health-fact
a296005ed3d0c28917c4a316bad87cec38ad1cca
2022-06-29T18:29:46.000Z
[ "pytorch", "longformer", "text-classification", "en", "dataset:health_fact", "transformers", "generated_from_trainer", "model-index" ]
text-classification
false
nbroad
null
nbroad/longformer-base-health-fact
16
null
transformers
9,337
--- language: - en tags: - generated_from_trainer datasets: - health_fact model-index: - name: longformer-base-health-fact2 results: - task: type: text-classification name: Text Classification dataset: name: health_fact type: health_fact split: test metrics: - name: F1 ...
Calin/convnext-tiny-finteuned-eurosat
6a193545136d094aa788f6960c4396bf77630a45
2022-04-27T15:28:02.000Z
[ "pytorch", "convnext", "image-classification", "transformers" ]
image-classification
false
Calin
null
Calin/convnext-tiny-finteuned-eurosat
16
null
transformers
9,338
Entry not found
Sathira/autotrain-mbtiNlp-798824628
5cec12d4fa5398b82a4d3aedae2942e2573171c9
2022-04-28T22:09:14.000Z
[ "pytorch", "distilbert", "text-classification", "en", "dataset:Sathira/autotrain-data-mbtiNlp", "transformers", "autotrain", "co2_eq_emissions" ]
text-classification
false
Sathira
null
Sathira/autotrain-mbtiNlp-798824628
16
null
transformers
9,339
--- tags: autotrain language: en widget: - text: "I love AutoTrain 🤗" datasets: - Sathira/autotrain-data-mbtiNlp co2_eq_emissions: 121.67185089502216 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 798824628 - CO2 Emissions (in grams): 121.67185089502216 ## Validation Metr...
gui-marra/finetuning-sentiment-model-25000-samples
3aee7bf286b3fe36f82382d70d92dff2dd06c427
2022-05-03T22:48:50.000Z
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:imdb", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
false
gui-marra
null
gui-marra/finetuning-sentiment-model-25000-samples
16
null
transformers
9,340
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: finetuning-sentiment-model-25000-samples results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb args: plain_text me...
CEBaB/roberta-base.CEBaB.sa.3-class.exclusive.seed_42
ba9048bf6984f647a72238b1b18208a36cd2e077
2022-05-10T23:43:37.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.3-class.exclusive.seed_42
16
null
transformers
9,341
Entry not found
CEBaB/roberta-base.CEBaB.sa.5-class.exclusive.seed_42
23519cb00256882e80221b938432deafefa74c5b
2022-05-11T00:01:13.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.5-class.exclusive.seed_42
16
null
transformers
9,342
Entry not found
CEBaB/roberta-base.CEBaB.sa.2-class.exclusive.seed_66
6e40419b44bb2c29c7ec49f8b497d3b461545e76
2022-05-11T00:18:42.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.2-class.exclusive.seed_66
16
null
transformers
9,343
Entry not found
CEBaB/roberta-base.CEBaB.sa.3-class.exclusive.seed_66
6dea5a622872ebc4e549fe509f2ac8d791f38af8
2022-05-11T00:35:32.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.3-class.exclusive.seed_66
16
null
transformers
9,344
Entry not found
CEBaB/roberta-base.CEBaB.sa.5-class.exclusive.seed_66
add9ad7c1e8c40ee62d2db0557f60d014ab02996
2022-05-11T00:53:14.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.5-class.exclusive.seed_66
16
null
transformers
9,345
Entry not found
CEBaB/roberta-base.CEBaB.sa.2-class.exclusive.seed_77
91d1f5942a547cea1ebf2811b3e1427fa43fa4fc
2022-05-11T01:10:45.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.2-class.exclusive.seed_77
16
null
transformers
9,346
Entry not found
CEBaB/roberta-base.CEBaB.sa.3-class.exclusive.seed_77
66aeeb083408eb95f57fd5c6e69512267bb53d08
2022-05-11T01:27:55.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.3-class.exclusive.seed_77
16
null
transformers
9,347
Entry not found
CEBaB/roberta-base.CEBaB.sa.5-class.exclusive.seed_77
dd6ea871ff2a00ffa815256ea71e6440bdc206a8
2022-05-11T01:45:29.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.5-class.exclusive.seed_77
16
null
transformers
9,348
Entry not found
CEBaB/roberta-base.CEBaB.sa.2-class.exclusive.seed_88
34d5aa6fe1d64ad1a3999b81ce816a99c6cfe3b0
2022-05-11T02:03:08.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.2-class.exclusive.seed_88
16
null
transformers
9,349
Entry not found
CEBaB/roberta-base.CEBaB.sa.3-class.exclusive.seed_88
e148de5fa68d54c927dffa0cd4d60654e75b2f34
2022-05-11T02:20:13.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.3-class.exclusive.seed_88
16
null
transformers
9,350
Entry not found
CEBaB/roberta-base.CEBaB.sa.5-class.exclusive.seed_88
af3ae3cd4757468414d50285354356b6a5f6a40d
2022-05-11T02:37:13.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.5-class.exclusive.seed_88
16
null
transformers
9,351
Entry not found
CEBaB/roberta-base.CEBaB.sa.2-class.exclusive.seed_99
edc64611fd9b2d6f6ae9d7457e6b9aaa556c103d
2022-05-11T02:54:20.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.2-class.exclusive.seed_99
16
null
transformers
9,352
Entry not found
CEBaB/roberta-base.CEBaB.sa.3-class.exclusive.seed_99
fe3fa9b6ed2d7f0c7298fccbef0149c94bc2168e
2022-05-11T03:11:48.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.3-class.exclusive.seed_99
16
null
transformers
9,353
Entry not found
CEBaB/roberta-base.CEBaB.sa.5-class.exclusive.seed_99
94181cc3296436d5fc4033f5ebac1febfb3fbc93
2022-05-11T03:28:55.000Z
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
false
CEBaB
null
CEBaB/roberta-base.CEBaB.sa.5-class.exclusive.seed_99
16
null
transformers
9,354
Entry not found
nikitast/lang-segmentation-roberta
2e44dd4b93237dfea1787ff7c369a850f15c09cb
2022-07-18T11:41:03.000Z
[ "pytorch", "xlm-roberta", "token-classification", "ru", "uk", "be", "kk", "az", "hy", "ka", "he", "en", "de", "dataset:open_subtitles", "dataset:tatoeba", "dataset:oscar", "transformers", "language classification", "text segmentation", "autotrain_compatible" ]
token-classification
false
nikitast
null
nikitast/lang-segmentation-roberta
16
null
transformers
9,355
--- language: - ru - uk - be - kk - az - hy - ka - he - en - de tags: - language classification - text segmentation datasets: - open_subtitles - tatoeba - oscar --- # RoBERTa for Multilabel Language Segmentation ## Training RoBERTa fine-tuned on small parts of Open Subtitles, Oscar and Tatoeba datasets (~9k samples p...
Vikings03/wikineural-multilingual-ner
1413bc2c7b83194fb0c2b7d9b5f3bfadc0eca47a
2022-05-13T13:51:03.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
Vikings03
null
Vikings03/wikineural-multilingual-ner
16
null
transformers
9,356
Entry not found
Dizex/bert-finetuned-ner
8c5b4fceb75a056e5c9ada4bc20de23177d97b32
2022-05-15T13:11:17.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
Dizex
null
Dizex/bert-finetuned-ner
16
null
transformers
9,357
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 args: c...
alwaysgetbetter/bert-finetuned-ner
80887a4b501be552657bb51d151af9797819ef2e
2022-05-17T10:21:23.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
alwaysgetbetter
null
alwaysgetbetter/bert-finetuned-ner
16
null
transformers
9,358
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 args: c...
awilli/bert-finetuned-ner
6f51f7552860716b6d8ac7caf47288ce8f28be7b
2022-05-19T08:14:06.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
awilli
null
awilli/bert-finetuned-ner
16
null
transformers
9,359
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 args: c...
Akshat/distilbert-base-uncased-finetuned-emotion
a3b2d0b5b844f3752d42d0ed17856ae32c1e50c2
2022-05-21T13:37:58.000Z
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:emotion", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
false
Akshat
null
Akshat/distilbert-base-uncased-finetuned-emotion
16
null
transformers
9,360
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion args: default...
Rewire/XTC
0d24774ad82ac586f3b7c3e76ce56e2663f710f3
2022-05-24T11:20:44.000Z
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
false
Rewire
null
Rewire/XTC
16
null
transformers
9,361
(COMING SOON!) MULTILINGUAL HATECHECK: Functional Tests for Multilingual Hate Speech Detection Models
DaveMSE/bert-finetuned-ner
bd0a8070cba94555a6b9ebf49a402820fd209b27
2022-05-24T20:10:23.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
DaveMSE
null
DaveMSE/bert-finetuned-ner
16
null
transformers
9,362
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 args: c...
ahmeddbahaa/mT5_multilingual_XLSum-finetuned-fa
4b340a0dc969e464c75ddac4820d105b51f7c843
2022-06-08T15:51:15.000Z
[ "pytorch", "tensorboard", "mt5", "text2text-generation", "dataset:pn_summary", "transformers", "summarization", "fa", "Abstractive Summarization", "generated_from_trainer", "model-index", "autotrain_compatible" ]
summarization
false
ahmeddbahaa
null
ahmeddbahaa/mT5_multilingual_XLSum-finetuned-fa
16
null
transformers
9,363
--- tags: - summarization - fa - mt5 - Abstractive Summarization - generated_from_trainer datasets: - pn_summary model-index: - name: mT5_multilingual_XLSum-finetuned-fa results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably p...
tzq0301/mT5-news-title-generation
4583b28b34567f6ce0da946a5fc72b60d96b0daf
2022-06-01T06:00:12.000Z
[ "pytorch", "mt5", "text2text-generation", "transformers", "license:mit", "autotrain_compatible" ]
text2text-generation
false
tzq0301
null
tzq0301/mT5-news-title-generation
16
null
transformers
9,364
--- license: mit ---
HIT-TMG/Dialogue-BART-large
aa76e28a856b228af02a178f28d107cf169f7ca1
2022-06-02T08:48:55.000Z
[ "pytorch", "bart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
false
HIT-TMG
null
HIT-TMG/Dialogue-BART-large
16
null
transformers
9,365
Entry not found
huggingtweets/aksumfootball-geirjordet-slawekmorawski
80b06866e574f00961d36147151e7dcabdcd5c00
2022-06-06T15:21:53.000Z
[ "pytorch", "gpt2", "text-generation", "en", "transformers", "huggingtweets" ]
text-generation
false
huggingtweets
null
huggingtweets/aksumfootball-geirjordet-slawekmorawski
16
null
transformers
9,366
--- language: en thumbnail: http://www.huggingtweets.com/aksumfootball-geirjordet-slawekmorawski/1654528907750/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:...
Gaborandi/distilbert-pubmed-MLM
db839f81944230c84e5baa2b6d3d375699c853b3
2022-06-08T02:55:14.000Z
[ "pytorch", "distilbert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
false
Gaborandi
null
Gaborandi/distilbert-pubmed-MLM
16
null
transformers
9,367
Entry not found
ghadeermobasher/WLT-BioBERT-NCBI
448fd98b4b4c1cda3787151da8be35fec1d06c45
2022-06-09T08:46:02.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/WLT-BioBERT-NCBI
16
null
transformers
9,368
Entry not found
Skil-Internal/bart-paraphrase-finetuned-xsum-v5
d1ed69a21fc47d997d24c4fde71c9ab94e081bfc
2022-06-09T09:42:05.000Z
[ "pytorch", "tensorboard", "bart", "text2text-generation", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
text2text-generation
false
Skil-Internal
null
Skil-Internal/bart-paraphrase-finetuned-xsum-v5
16
null
transformers
9,369
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bart-paraphrase-finetuned-xsum-v5 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. --> # b...
ghadeermobasher/WLT-BlueBERT-NCBI
8a274f1ef1d29bb10ddb4c3021877d99321c08c1
2022-06-09T15:09:54.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/WLT-BlueBERT-NCBI
16
null
transformers
9,370
Entry not found
ajtamayoh/NLP-CIC-WFU_Clinical_Cases_NER_Paragraph_Tokenized_mBERT_cased_fine_tuned
ed75ffcb9f8d8d6ec9dcf181996bdcd231e185cc
2022-06-09T23:31:56.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
ajtamayoh
null
ajtamayoh/NLP-CIC-WFU_Clinical_Cases_NER_Paragraph_Tokenized_mBERT_cased_fine_tuned
16
null
transformers
9,371
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: NLP-CIC-WFU_Clinical_Cases_NER_Paragraph_Tokenized_mBERT_cased_fine_tuned results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access...
kjunelee/distilbert-base-uncased-finetuned-emotion
7395d53b0501cd63739fa0a8383df383e02abbf6
2022-06-10T00:24:32.000Z
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:emotion", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
false
kjunelee
null
kjunelee/distilbert-base-uncased-finetuned-emotion
16
null
transformers
9,372
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion args: default...
Yehor/wav2vec2-xls-r-300m-uk-with-wiki-lm
7f84bfa006ec847124b98e9186cb3cdc42e2b6e2
2022-07-30T07:00:19.000Z
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "uk", "dataset:mozilla-foundation/common_voice_10_0", "transformers", "license:cc-by-sa-3.0" ]
automatic-speech-recognition
false
Yehor
null
Yehor/wav2vec2-xls-r-300m-uk-with-wiki-lm
16
null
transformers
9,373
--- language: - uk license: "cc-by-sa-3.0" datasets: - mozilla-foundation/common_voice_10_0 --- 🇺🇦 Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk ⭐ See other Ukrainian models - https://github.com/egorsmkv/speech-recognition-uk This model has apostrophes and hyphens. Metrics: ...
ilhami/Tr_En-MbartFinetune
0202aa49b954d0782556e8e130d7a6f968934ec8
2022-06-12T12:01:16.000Z
[ "pytorch", "mbart", "text2text-generation", "tr", "en", "dataset:Parallel Corpora for Turkish-English Academic Translations", "transformers", "translation", "license:apache-2.0", "autotrain_compatible" ]
translation
false
ilhami
null
ilhami/Tr_En-MbartFinetune
16
null
transformers
9,374
--- language: - tr - en tags: - translation license: apache-2.0 datasets: - Parallel Corpora for Turkish-English Academic Translations metrics: - bleu - sacrebleu --- ## Model Details - **Developed by:** İlhami SEL - **Model type:** Mbart Finetune Machine Translation - **Language:** Turkish - English - **Resources f...
YuryK/distilbert-base-uncased-finetuned-emotion
344dc2820fac936ddc3f669366ca4dc1b460d5b5
2022-07-15T06:51:34.000Z
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:emotion", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
false
YuryK
null
YuryK/distilbert-base-uncased-finetuned-emotion
16
null
transformers
9,375
--- license: apache-2.0 tags: - generated_from_trainer datasets: - emotion metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: - task: name: Text Classification type: text-classification dataset: name: emotion type: emotion args: default...
Adapting/comfort_congratulations_neutral-classifier
59ed3dacf314425d944e4ab3dc0ff71a9c70546e
2022-06-27T14:24:27.000Z
[ "pytorch", "distilbert", "text-classification", "transformers" ]
text-classification
false
Adapting
null
Adapting/comfort_congratulations_neutral-classifier
16
null
transformers
9,376
# Adapting/comfort_congratulations_neutral-classifier code used to train this model: https://colab.research.google.com/drive/1BHc8UMuT0sRyA_M24Acits5oHwUmjsFm?usp=sharing dataset: https://huggingface.co/datasets/Adapting/empathetic_dialogues_v2 LABEL_0: neutral LABEL_1: congratulating LABEL_2: comforting
ghadeermobasher/BC5CDR-Chem-Modified-BlueBERT-512
9e6f3c55bec81471a331f4f53e4b9eb9514e23d7
2022-06-13T23:10:09.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/BC5CDR-Chem-Modified-BlueBERT-512
16
null
transformers
9,377
Entry not found
ghadeermobasher/BC4CHEMD-Chem-Original-PubMedBERT-512
7290f7a345b448bf9279a9a41f86ed4335c81713
2022-06-15T21:58:32.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/BC4CHEMD-Chem-Original-PubMedBERT-512
16
null
transformers
9,378
Entry not found
ghadeermobasher/BC4CHEMD-Original-BioBERT-384
7339c56ee7688e9f168e2e1cdbf4367507d31085
2022-06-15T19:17:37.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
ghadeermobasher
null
ghadeermobasher/BC4CHEMD-Original-BioBERT-384
16
null
transformers
9,379
Entry not found
Salvatore/bert-finetuned-ner
e5deabd6d3a71b816d8b188900f19abca8343ae8
2022-06-28T15:24:09.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
Salvatore
null
Salvatore/bert-finetuned-ner
16
null
transformers
9,380
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, the...
loubnabnl/codeparrot-small-megatron
709781d6de024fdee09d70071b4776e9f4b7902f
2022-06-21T09:48:35.000Z
[ "pytorch", "gpt2", "text-generation", "code", "dataset:lvwerra/codeparrot-clean-train", "transformers", "generation", "model-index" ]
text-generation
false
loubnabnl
null
loubnabnl/codeparrot-small-megatron
16
0
transformers
9,381
--- language: code tags: - code - gpt2 - generation datasets: - lvwerra/codeparrot-clean-train widget: - text: "from transformers import" example_title: "Transformers" - text: "def print_hello_world():\n\t" example_title: "Hello World!" - text: "def get_file_size(filepath):" example_title: "File size" - text: "im...
mindwrapped/gpt2-lotr-fellowship
d04e442e12e7da431a7c4bc78343acc451b964eb
2022-06-17T02:14:38.000Z
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
false
mindwrapped
null
mindwrapped/gpt2-lotr-fellowship
16
null
transformers
9,382
Entry not found
chandrasutrisnotjhong/bert-finetuned-ner
4513622ae90e678e415d59e33989c41a2dd92afe
2022-07-04T03:53:09.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "dataset:conll2003", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
chandrasutrisnotjhong
null
chandrasutrisnotjhong/bert-finetuned-ner
16
null
transformers
9,383
--- license: apache-2.0 tags: - generated_from_trainer datasets: - conll2003 metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-ner results: - task: name: Token Classification type: token-classification dataset: name: conll2003 type: conll2003 args: c...
zdreiosis/ff_analysis_5
81b30320303e2b42ddaf608071670bc8363d4327
2022-06-18T14:54:43.000Z
[ "pytorch", "tensorboard", "bert", "text-classification", "transformers", "gen_ffa", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
false
zdreiosis
null
zdreiosis/ff_analysis_5
16
null
transformers
9,384
--- license: apache-2.0 tags: - gen_ffa - generated_from_trainer metrics: - f1 - accuracy model-index: - name: ff_analysis_5 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 co...
NouRed/segformer-b0-finetuned-segments-water-2
43085b11babf0d38cc12bdf28939264d15ce408c
2022-06-29T22:43:41.000Z
[ "pytorch", "tensorboard", "segformer", "transformers", "vision", "image-segmentation", "generated_from_trainer", "license:apache-2.0", "model-index" ]
image-segmentation
false
NouRed
null
NouRed/segformer-b0-finetuned-segments-water-2
16
null
transformers
9,385
--- license: apache-2.0 tags: - vision - image-segmentation - generated_from_trainer model-index: - name: segformer-b0-finetuned-segments-water-2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it...
TariqYousef/german-intensifiers-tagging
0f8a6ff8162256a9992f86316710d0e1695786dd
2022-06-22T23:36:03.000Z
[ "pytorch", "bert", "token-classification", "de", "transformers", "token classificaition", "license:cc-by-4.0", "autotrain_compatible" ]
token-classification
false
TariqYousef
null
TariqYousef/german-intensifiers-tagging
16
null
transformers
9,386
--- language: - de tags: - token classificaition license: cc-by-4.0 --- ### German Intesifiers Tagging
sudo-s/exper_batch_32_e8
99091befda7e8eb00eeb8621248f729c8b1d706b
2022-06-26T23:45:06.000Z
[ "pytorch", "tensorboard", "vit", "image-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
image-classification
false
sudo-s
null
sudo-s/exper_batch_32_e8
16
null
transformers
9,387
--- license: apache-2.0 tags: - image-classification - generated_from_trainer metrics: - accuracy model-index: - name: exper_batch_32_e8 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 re...
RuiqianLi/Malaya-speech_fine-tune_realcase_27_Jun
a8e98583be38db4448e91f5165f808346698427c
2022-06-30T02:09:05.000Z
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "dataset:uob_singlish", "transformers", "generated_from_trainer", "model-index" ]
automatic-speech-recognition
false
RuiqianLi
null
RuiqianLi/Malaya-speech_fine-tune_realcase_27_Jun
16
null
transformers
9,388
--- tags: - generated_from_trainer datasets: - uob_singlish model-index: - name: Malaya-speech_fine-tune_realcase_27_Jun 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 commen...
Eleven/distilbert-base-uncased-finetuned-emotion
f8c004744cc8f77ba103f6d775df8012b343562f
2022-07-22T15:05:00.000Z
[ "pytorch", "tensorboard", "distilbert", "text-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
false
Eleven
null
Eleven/distilbert-base-uncased-finetuned-emotion
16
null
transformers
9,389
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: distilbert-base-uncased-finetuned-emotion results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, t...
ccdv/lsg-bart-base-16384
fc051b4ccce9caae550cc5e2d2fb8134453ab95d
2022-07-25T05:35:31.000Z
[ "pytorch", "bart", "text2text-generation", "en", "arxiv:1910.13461", "transformers", "summarization", "long context", "fill-mask", "autotrain_compatible" ]
fill-mask
false
ccdv
null
ccdv/lsg-bart-base-16384
16
null
transformers
9,390
--- tags: - summarization - bart - long context language: - en pipeline_tag: fill-mask --- # LSG model **Transformers >= 4.18.0**\ **This model relies on a custom modeling file, you need to add trust_remote_code=True**\ **See [\#13467](https://github.com/huggingface/transformers/pull/13467)** * [Usage](#usage) * [Pa...
Salvatore/bert-finetuned-mutation-recognition-0
336556be7865ad600dbfeb68eb00264bc214d8ef
2022-06-29T13:41:03.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
false
Salvatore
null
Salvatore/bert-finetuned-mutation-recognition-0
16
null
transformers
9,391
Entry not found
Salvatore/bert-finetuned-mutation-recognition-1
dc9611f72e763247c259f3e374b135af4115f8c4
2022-06-29T13:59:03.000Z
[ "pytorch", "tensorboard", "bert", "token-classification", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
token-classification
false
Salvatore
null
Salvatore/bert-finetuned-mutation-recognition-1
16
null
transformers
9,392
--- license: apache-2.0 tags: - generated_from_trainer metrics: - precision - recall - f1 - accuracy model-index: - name: bert-finetuned-mutation-recognition-1 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread a...
gaunernst/bert-tiny-uncased
0408b8940342cd18ff1d59ed698a17597aac2319
2022-07-02T03:02:15.000Z
[ "pytorch", "bert", "transformers", "license:apache-2.0" ]
null
false
gaunernst
null
gaunernst/bert-tiny-uncased
16
null
transformers
9,393
--- license: apache-2.0 ---
infinix/Sheldon-bot
f069ccf3c5bb41672973d37473faf001f16f66f0
2022-07-02T11:06:48.000Z
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
false
infinix
null
infinix/Sheldon-bot
16
null
transformers
9,394
--- tags: - conversational --- # Sheldon Model
Aktsvigun/bart-base_xsum_23419
fe2b96ed381defc1de1191dc68f7a2b31cb7526d
2022-07-07T14:37:15.000Z
[ "pytorch", "bart", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
false
Aktsvigun
null
Aktsvigun/bart-base_xsum_23419
16
null
transformers
9,395
Entry not found
tau/spider-trivia-ctx-encoder
7fba5bf0ebcf9e978b7b1b38119a3643447dc135
2022-07-04T07:03:47.000Z
[ "pytorch", "dpr", "transformers" ]
null
false
tau
null
tau/spider-trivia-ctx-encoder
16
null
transformers
9,396
Entry not found
Sedigh/RoBERTa-large-PM-M3-Voc
97d264a00cbdca14ab0b247a11e6be069cf308e2
2022-07-06T09:22:41.000Z
[ "pytorch", "roberta", "text-classification", "transformers", "license:cc" ]
text-classification
false
Sedigh
null
Sedigh/RoBERTa-large-PM-M3-Voc
16
null
transformers
9,397
naver/efficient-splade-VI-BT-large-doc
86552fafb2aa3380e335b8fd63c4a5afafc0639e
2022-07-08T13:12:18.000Z
[ "pytorch", "distilbert", "fill-mask", "en", "dataset:ms_marco", "transformers", "splade", "query-expansion", "document-expansion", "bag-of-words", "passage-retrieval", "knowledge-distillation", "document encoder", "license:cc-by-nc-sa-4.0", "autotrain_compatible" ]
fill-mask
false
naver
null
naver/efficient-splade-VI-BT-large-doc
16
null
transformers
9,398
--- license: cc-by-nc-sa-4.0 language: "en" tags: - splade - query-expansion - document-expansion - bag-of-words - passage-retrieval - knowledge-distillation - document encoder datasets: - ms_marco --- ## Efficient SPLADE Efficient SPLADE model for passage retrieval. This architecture uses two distinct models for quer...
emilys/twitter-roberta-base-dec2021-WNUT
130ab6a1404e58f517b6a76beaa309d2a8b771c4
2022-07-05T22:26:37.000Z
[ "pytorch", "roberta", "token-classification", "dataset:wnut_17", "transformers", "generated_from_trainer", "model-index", "autotrain_compatible" ]
token-classification
false
emilys
null
emilys/twitter-roberta-base-dec2021-WNUT
16
null
transformers
9,399
--- tags: - generated_from_trainer datasets: - wnut_17 metrics: - precision - recall - f1 - accuracy model-index: - name: twitter-roberta-base-dec2021-WNUT results: - task: name: Token Classification type: token-classification dataset: name: wnut_17 type: wnut_17 args: wnut_17 ...