modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
howey/electra-base-cola | null | Entry not found | 15 |
howey/electra-base-qnli | null | Entry not found | 15 |
howey/electra-large-cola | null | Entry not found | 15 |
howey/electra-large-mrpc | null | Entry not found | 15 |
howey/electra-large-qnli | null | Entry not found | 15 |
howey/electra-large-stsb | [
"LABEL_0"
] | Entry not found | 15 |
howey/roberta-large-mrpc | null | Entry not found | 15 |
howey/roberta-large-rte | null | Entry not found | 15 |
howey/roberta-large-stsb | [
"LABEL_0"
] | Entry not found | 15 |
hugo/secret-project-all-1 | [
"LABEL_0"
] | Entry not found | 15 |
huwendeng/distilroberta_b | null | Entry not found | 15 |
iamholmes/first-model | null | Entry not found | 15 |
ibraheemmoosa/xlmindic-base-multiscript-soham | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
language:
- as
- bn
- gu
- hi
- mr
- ne
- or
- pa
- si
- sa
- bpy
- bh
- gom
- mai
license: apache-2.0
datasets:
- oscar
tags:
- multilingual
- albert
- fill-mask
- xlmindic
- nlp
- indoaryan
- indicnlp
- iso15919
- text-classification
widget:
- text : 'চীনের মধ্যাঞ্চলে আরও একটি শহরের বাসিন্দারা আবার ঘরবন্দী হয়ে পড়... | 7,260 |
idrimadrid/autonlp-creator_classifications-4021083 | [
"ABC Studios",
"Blizzard Entertainment",
"Capcom",
"Cartoon Network",
"Clive Barker",
"DC Comics",
"Dark Horse Comics",
"Disney",
"Dreamworks",
"George Lucas",
"George R. R. Martin",
"Hanna-Barbera",
"HarperCollins",
"Hasbro",
"IDW Publishing",
"Ian Fleming",
"Icon Comics",
"Image ... | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- idrimadrid/autonlp-data-creator_classifications
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 4021083
## Validation Metrics
- Loss: 0.6848716735839844
- Accuracy: 0.8825910931174089
- Macro F1: ... | 1,347 |
isakbos/Q8BERT_COLA_L_512 | [
"LABEL_0",
"LABEL_1"
] | Entry not found | 15 |
jacobduncan00/hackMIT-finetuned-sst2 | null | ---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model_index:
- name: hackMIT-finetuned-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metric:
name: Accuracy
type: accuracy
... | 1,730 |
jaesun/kcbert-base-finetuned-klue-nli | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jaimin/AraBERT | null | Entry not found | 15 |
jaimin/arabic-bert | null | Entry not found | 15 |
jgonik/nlp-puzzle | null | Entry not found | 15 |
jgonik/repo_name | null | Entry not found | 15 |
jiho0304/curseELECTRA | null | ElectraBERT tuned with korean-bad-speeches | 42 |
jimmyliao/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 1,996 |
jnz/electra-ka-anti-opo | null | Entry not found | 15 |
josephgatto/paint_doctor_description_identification | null | Entry not found | 15 |
joshuacalloway/csc575finalproject | [
"negative",
"positive",
"noimpact",
"mixed"
] | 0 | |
juliensimon/autonlp-imdb-demo-hf-16622767 | [
"0",
"1"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- juliensimon/autonlp-data-imdb-demo-hf
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 16622767
## Validation Metrics
- Loss: 0.20029613375663757
- Accuracy: 0.9256
- Precision: 0.9090909090909091
- Rec... | 1,083 |
jx88/xlm-roberta-base-finetuned-marc-en-j-run | [
"good",
"great",
"ok",
"poor",
"terrible"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
model-index:
- name: xlm-roberta-base-finetuned-marc-en-j-run
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... | 1,491 |
kaisugi/scibert-csabstruct | [
"background",
"method",
"objective",
"other",
"result"
] | Entry not found | 15 |
kangnichaluo/cb | [
"LABEL_0",
"LABEL_1"
] | learning rate: 5e-5
training epochs: 5
batch size: 8
seed: 42
model: bert-base-uncased
trained on CB which is converted into two-way nli classification (predict entailment or not-entailment class) | 209 |
kangnichaluo/mnli-1 | [
"LABEL_0",
"LABEL_1"
] | learning rate: 2e-5
training epochs: 3
batch size: 64
seed: 42
model: bert-base-uncased
trained on MNLI which is converted into two-way nli classification (predict entailment or not-entailment class) | 209 |
kangnichaluo/mnli-4 | [
"LABEL_0",
"LABEL_1"
] | learning rate: 2e-5
training epochs: 3
batch size: 64
seed: 87
model: bert-base-uncased
trained on MNLI which is converted into two-way nli classification (predict entailment or not-entailment class) | 211 |
kangnichaluo/mnli-5 | [
"LABEL_0",
"LABEL_1"
] | learning rate: 2e-5
training epochs: 3
batch size: 64
seed: 111
model: bert-base-uncased
trained on MNLI which is converted into two-way nli classification (predict entailment or not-entailment class) | 212 |
kangnichaluo/mnli-cb | [
"LABEL_0",
"LABEL_1"
] | learning rate: 3e-5
training epochs: 5
batch size: 8
seed: 42
model: bert-base-uncased
The model is pretrained on MNLI (we use kangnichaluo/mnli-2 directly) and then finetuned on CB which is converted into two-way nli classification (predict entailment or not-entailment class) | 287 |
khanhpd2/distilBERT-emotionv2 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
khanhpd2/distilbert-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
khizon/bert-unreliable-news-eng-title | null | Entry not found | 15 |
lewtun/roberta-base-bne-finetuned-amazon_reviews_multi-finetuned-amazon_reviews_multi | [
"NEGATIVO",
"POSITIVO"
] | ---
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
model_index:
- name: roberta-base-bne-finetuned-amazon_reviews_multi-finetuned-amazon_reviews_multi
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
... | 1,713 |
malhajj/ArabGlossBERT | null | Entry not found | 15 |
mamlong34/MiniLM-L6-snli_mnli_fever_anli_R1_R2_R3-nli | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
marcolatella/emotion_trained | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: emotion_trained
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
- name: F1... | 1,766 |
marcolatella/emotion_trained_1234567 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: emotion_trained_1234567
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
- ... | 1,788 |
marcolatella/emotion_trained_31415 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: emotion_trained_31415
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
- na... | 1,782 |
marcolatella/emotion_trained_42 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: emotion_trained_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
- name:... | 1,773 |
marcolatella/hate_trained | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: hate_trained
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: F1
... | 1,758 |
marcolatella/hate_trained_1234567 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: hate_trained_1234567
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: ... | 1,780 |
marcolatella/hate_trained_42 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: hate_trained_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- name: F1
... | 1,765 |
mattchurgin/distilbert-mrpc | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: distilbert-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mrpc
metrics:
- name: Accuracy
... | 2,527 |
mattchurgin/distilbert-sst2 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: distilbert-sst2
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. -->
# di... | 1,242 |
mazancourt/politics-sentence-classifier | [
"other",
"problem",
"solution"
] | ---
tags: autonlp
language: fr
widget:
- text: "Il y a dans ce pays une fracture"
datasets:
- mazancourt/autonlp-data-politics-sentence-classifier
co2_eq_emissions: 1.06099358268878
---
# Prediction of sentence "nature" in a French political sentence
This model aims at predicting the nature of a sentence in a French ... | 2,374 |
merve/deberta-small-mrpc | null | ---
tags:
- transformers
- text-classification
pipeline-tag:
- text-classification
---
Title | 93 |
mflorinsky/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 2,000 |
michaelhsieh42/distilbert-base-uncased-finetuned-cola | null | Entry not found | 15 |
milyiyo/selectra-medium-finetuned-amazon-review | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
minu/koelectra-nsmc-discriminator | [
"0",
"1"
] | Entry not found | 15 |
mjtaheri11/test-zarebin-2 | [
"contradiction",
"entailment"
] | Entry not found | 15 |
ml6team/distilbert-base-dutch-cased-toxic-comments | [
"non-toxic",
"toxic"
] | ---
language:
- nl
tags:
- text-classification
- pytorch
widget:
- text: "Ik heb je lief met heel mijn hart"
example_title: "Non toxic comment 1"
- text: "Dat is een goed punt, zo had ik het nog niet bekeken."
example_title: "Non toxic comment 2"
- text: "Wat de fuck zei je net tegen me, klootzak?"
example_title... | 1,915 |
mohsenfayyaz/albert-base-v2-offenseval2019-downsample | null | Entry not found | 15 |
mohsenfayyaz/albert-base-v2-toxicity | null | Entry not found | 15 |
mohsenfayyaz/electra-base-discriminator-offenseval2019-downsample | null | Entry not found | 15 |
mollypak/bert-model-full-cardiff | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
mollypak/bert-multilingual-base | null | Entry not found | 15 |
mollypak/cardiff-num | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
mollypak/roberta-base | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
mollypak/roberta-model-full | null | Entry not found | 15 |
mollypak/roberta-tiny-model-full | null | Entry not found | 15 |
mollypak/twitter-roberta-base-sentiment-cardiff | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
moma1820/DSV-Classifier | null | Entry not found | 15 |
monologg/koelectra-base-v3-bias | [
"gender",
"none",
"others"
] | Entry not found | 15 |
moshew/miny-bert-aug-sst2-distilled | [
"0",
"1"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- augmented_glue_sst2
metrics:
- accuracy
model-index:
- name: miny-bert-aug-sst2-distilled
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: augmented_glue_sst2
type: augmented_glue_sst2
... | 2,105 |
moussaKam/tiny_bert-base_bert-score | [
"LABEL_0"
] | Entry not found | 15 |
mrm8488/electricidad-base-finetuned-medical-diagnostics | null | ---
lang: 'es'
widget:
- text: "TUMOR DE COMPORTAMIENTO INCIERTO O DESCONOCIDO DEL HNGADO, DE LA VESNCULA BILIAR Y DEL CONDUCTO BILIAR - DiagnNstico Principal - Z01.8 OTROS EXNMENES ESPECIALES ESPECIFICADOS"
---
# Electricidad (base) fine-tuned medical diagnostics | 269 |
mrm8488/electricidad-base-finetuned-muchocine | [
"1",
"2",
"3",
"4",
"5"
] | ---
language: es
datasets:
- muchocine
widget:
- text: "Una buena película, sin más."
tags:
- sentiment
- analysis
- spanish
---
# Electricidad-base fine-tuned for (Spanish) Sentiment Anlalysis 🎞️👍👎
[Electricidad](https://huggingface.co/mrm8488/electricidad-base-discriminator) base fine-tuned on [muchocine](https... | 1,370 |
mrm8488/electricidad-small-finetuned-medical-diagnostics | null | ---
lang: 'es'
widget:
- text: "TUMOR DE COMPORTAMIENTO INCIERTO O DESCONOCIDO DEL HNGADO, DE LA VESNCULA BILIAR Y DEL CONDUCTO BILIAR - DiagnNstico Principal - Z01.8 OTROS EXNMENES ESPECIALES ESPECIFICADOS"
---
# Electricidad (small) fine-tuned medical diagnostics | 266 |
mrm8488/electricidad-small-finetuned-muchocine | [
"⭐",
"⭐ ⭐",
"⭐ ⭐ ⭐",
"⭐ ⭐ ⭐ ⭐",
"⭐ ⭐ ⭐ ⭐ ⭐"
] | ---
language: es
datasets:
- muchocine
widget:
- text: "Una buena película, sin más."
tags:
- sentiment
- analysis
- spanish
---
# Electricidad-small fine-tuned for (Spanish) Sentiment Anlalysis 🎞️👍👎
[Electricidad](https://huggingface.co/mrm8488/electricidad-small-discriminator) small fine-tuned on [muchocine](ht... | 1,135 |
muhtasham/autonlp-Doctor_DE-24595546 | [
"target"
] | ---
tags: autonlp
language: de
widget:
- text: "I love AutoNLP 🤗"
datasets:
- muhtasham/autonlp-data-Doctor_DE
co2_eq_emissions: 210.5957437893554
---
# Model Trained Using AutoNLP
- Problem type: Single Column Regression
- Model ID: 24595546
- CO2 Emissions (in grams): 210.5957437893554
## Validation Metrics
- Lo... | 1,163 |
muhtasham/autonlp-Doctor_DE-24595548 | [
"target"
] | ---
tags: autonlp
language: de
widget:
- text: "I love AutoNLP 🤗"
datasets:
- muhtasham/autonlp-data-Doctor_DE
co2_eq_emissions: 183.88911013564527
---
# Model Trained Using AutoNLP
- Problem type: Single Column Regression
- Model ID: 24595548
- CO2 Emissions (in grams): 183.88911013564527
## Validation Metrics
- ... | 1,163 |
narabzad/saved | null | Entry not found | 15 |
navteca/ms-marco-electra-base | [
"LABEL_0"
] | # Cross-Encoder for MS Marco
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
This model uses [electra-base](https://huggingface.co/google/electra-base-discriminator).
## Training Data
This model was ... | 809 |
navteca/qnli-electra-base | [
"LABEL_0"
] | ---
language: en
license: mit
pipeline_tag: text-classification
tags:
- sentence-transformers
---
# Cross-Encoder for QNLI
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
This model uses [electra-base... | 927 |
nazareno/bertimbau-socioambiental | null | Entry not found | 15 |
nchervyakov/super-model | null | hello | 5 |
new5558/wangchan-course | [
"02",
"20",
"21",
"22",
"23",
"24",
"25",
"26",
"27",
"28",
"29",
"30",
"31",
"32",
"33",
"34",
"35",
"36",
"37",
"38",
"39",
"40",
"51",
"53",
"55",
"63"
] | hello
hello
| 12 |
ninahrostozova/xlm-roberta-base-finetuned-marc | [
"good",
"great",
"ok",
"poor",
"terrible"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
model-index:
- name: xlm-roberta-base-finetuned-marc
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... | 1,423 |
notentered/roberta-base-finetuned-cola | null | Entry not found | 15 |
ntrnghia/mrpc_vn | null | Entry not found | 15 |
nuriafari/my_model | [
"negative",
"neutral",
"positive"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- financial_phrasebank
metrics:
- recall
- accuracy
- precision
model-index:
- name: my_model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: financial_phrasebank
type: financial_phraseba... | 2,182 |
o2poi/sst2-eda-albert | null | Entry not found | 15 |
o2poi/sst2-eda-bert-uncased | null | Entry not found | 15 |
o2poi/sst2-eda-roberta | null | Entry not found | 15 |
oemga38/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 2,000 |
owen99630/catexp2 | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_12",
"LABEL_13",
"LABEL_14",
"LABEL_15",
"LABEL_16",
"LABEL_17",
"LABEL_18",
"LABEL_19",
"LABEL_2",
"LABEL_20",
"LABEL_21",
"LABEL_22",
"LABEL_23",
"LABEL_24",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"L... | {0: 'Anorexia',
1: 'Anxiety',
2: 'Bullying',
3: 'Care',
4: 'Creativity',
5: 'Culture',
6: 'Depression',
7: 'Friends',
8: 'Getting help',
9: 'Happiness',
10: 'Helping others',
11: 'Helping yourself',
12: 'Hope',
13: 'Learning',
14: 'Life Issues',
15: 'Mental Health',
16: 'Mental Health Matters',
17: 'Me... | 463 |
owen99630/experience | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_100",
"LABEL_101",
"LABEL_102",
"LABEL_103",
"LABEL_104",
"LABEL_105",
"LABEL_106",
"LABEL_107",
"LABEL_108",
"LABEL_109",
"LABEL_11",
"LABEL_110",
"LABEL_111",
"LABEL_112",
"LABEL_113",
"LABEL_114",
"LABEL_115",
"LABEL_116",
"LABEL_... | Entry not found | 15 |
pablouribe/bertstem-copus-administration | null | Entry not found | 15 |
pablouribe/bertstem-copus-guiding | null | Entry not found | 15 |
pablouribe/bertstem-copus-overfitted | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | Entry not found | 15 |
pablouribe/bertstem-copus-presenting | null | Entry not found | 15 |
pablouribe/bertstem-copus-supercategories-overfitted | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | Entry not found | 15 |
paola-md/recipes_italian | [
"LABEL_0"
] | Entry not found | 15 |
pelican/3cls_equal_len | null | Entry not found | 15 |
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