modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
esiebomajeremiah/autonlp-email-classification-657119381 | [
"0",
"1"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- esiebomajeremiah/autonlp-data-email-classification
co2_eq_emissions: 3.516233232503715
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 657119381
- CO2 Emissions (in grams): 3.516233232503715
## Validati... | 1,162 |
Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two | [
"NORMAL",
"ABUSIVE"
] | ---
language: en
license: apache-2.0
datasets:
- hatexplain
---
## Table of Contents
- [Model Details](#model-details)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#ev... | 4,853 |
amberoad/bert-multilingual-passage-reranking-msmarco | null | ---
language: multilingual
thumbnail: https://amberoad.de/images/logo_text.png
tags:
- msmarco
- multilingual
- passage reranking
license: apache-2.0
datasets:
- msmarco
metrics:
- MRR
widget:
- query: What is a corporation?
passage: A company is incorporated in a specific nation, often within the bounds
of a sma... | 7,552 |
sbcBI/sentiment_analysis | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- Confidential
---
# BERT base model (uncased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https://github.... | 2,215 |
avichr/heBERT_sentiment_analysis | [
"neutral",
"negative",
"positive"
] | ## HeBERT: Pre-trained BERT for Polarity Analysis and Emotion Recognition
HeBERT is a Hebrew pre-trained language model. It is based on Google's BERT architecture and it is BERT-Base config [(Devlin et al. 2018)](https://arxiv.org/abs/1810.04805). <br>
HeBert was trained on three datasets:
1. A Hebrew version of OSCA... | 4,690 |
cross-encoder/nli-roberta-base | [
"contradiction",
"entailment",
"neutral"
] | ---
language: en
pipeline_tag: zero-shot-classification
tags:
- roberta-base
datasets:
- multi_nli
- snli
metrics:
- accuracy
license: apache-2.0
---
# Cross-Encoder for Natural Language Inference
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/appl... | 2,559 |
cointegrated/roberta-large-cola-krishna2020 | null | This is a RoBERTa-large classifier trained on the CoLA corpus [Warstadt et al., 2019](https://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00290),
which contains sentences paired with grammatical acceptability judgments. The model can be used to evaluate fluency of machine-generated English sentences, e.g. for eval... | 1,057 |
valhalla/distilbart-mnli-12-9 | [
"contradiction",
"entailment",
"neutral"
] | ---
datasets:
- mnli
tags:
- distilbart
- distilbart-mnli
pipeline_tag: zero-shot-classification
---
# DistilBart-MNLI
distilbart-mnli is the distilled version of bart-large-mnli created using the **No Teacher Distillation** technique proposed for BART summarisation by Huggingface, [here](https://github.com/huggingfa... | 2,406 |
lvwerra/distilbert-imdb | [
"NEGATIVE",
"POSITIVE"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: distilbert-imdb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metrics:
- name: Accuracy
... | 1,566 |
moussaKam/frugalscore_tiny_bert-base_bert-score | [
"LABEL_0"
] | # FrugalScore
FrugalScore is an approach to learn a fixed, low cost version of any expensive NLG metric, while retaining most of its original performance
Paper: https://arxiv.org/abs/2110.08559?context=cs
Project github: https://github.com/moussaKam/FrugalScore
The pretrained checkpoints presented in the paper :
| ... | 2,592 |
blanchefort/rubert-base-cased-sentiment | [
"NEGATIVE",
"NEUTRAL",
"POSITIVE"
] | ---
language:
- ru
tags:
- sentiment
- text-classification
---
# RuBERT for Sentiment Analysis
Short Russian texts sentiment classification
This is a [DeepPavlov/rubert-base-cased-conversational](https://huggingface.co/DeepPavlov/rubert-base-cased-conversational) model trained on aggregated corpus of 351.797 texts.
... | 1,995 |
MilaNLProc/xlm-emo-t | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
language: multilingual
license: mit
tags:
- emotion
- emotion-analysis
- multilingual
widget:
- text: "Guarda! ci sono dei bellissimi capibara!"
example_title: "Emotion Classification 1"
- text: "Sei una testa di cazzo!!"
example_title: "Emotion Classification 2"
- text: "Quelle bonne nouvelle!"
example_titl... | 1,766 |
remotejob/gradientclassification_v0 | [
"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_25",
"LABEL_26",
"LABEL_27",
"LABEL_28",
"LABEL_29",... | Entry not found | 15 |
textattack/bert-base-uncased-MRPC | null | ## TextAttack Model Card
This `bert-base-uncased` model was fine-tuned for sequence classification using TextAttack
and the glue dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 16, a learning
rate of 2e-05, and a maximum sequence length of 256.
Since this was a cla... | 622 |
svalabs/twitter-xlm-roberta-bitcoin-sentiment | [
"Negative",
"Neutral",
"Positive"
] | This model is mainly focussed on extracting the sentiment on tweets regarding bitcoin. The model was trained on manually on labeled data with rubrix (https://www.rubrix.ml/). The training set approximately contained 500 samples and 500 test samples. The cardiffnlp/twitter-xlm-roberta-base-sentiment (https://huggingface... | 439 |
transformersbook/bert-base-uncased-finetuned-clinc | [
"accept_reservations",
"account_blocked",
"alarm",
"application_status",
"apr",
"are_you_a_bot",
"balance",
"bill_balance",
"bill_due",
"book_flight",
"book_hotel",
"calculator",
"calendar",
"calendar_update",
"calories",
"cancel",
"cancel_reservation",
"car_rental",
"card_declin... | # Intent Detection with BERT
This model was trained on the [CLINC150](https://arxiv.org/abs/1909.02027) dataset for customer intent detection. The dataset can be found on the [Hub](https://huggingface.co/datasets/clinc_oos). The model is used in Chapter 8: Making Transformers Efficient in Production in the [NLP with T... | 583 |
CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment | [
"negative",
"neutral",
"positive"
] | ---
language:
- ar
license: apache-2.0
widget:
- text: "أنا بخير"
---
# CAMeLBERT-DA SA Model
## Model description
**CAMeLBERT-DA SA Model** is a Sentiment Analysis (SA) model that was built by fine-tuning the [CAMeLBERT Dialectal Arabic (DA)](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-da/) model.
Fo... | 3,362 |
yiyanghkust/finbert-fls | [
"Not FLS",
"Non-specific FLS",
"Specific FLS"
] | ---
language: "en"
tags:
- financial-text-analysis
- forward-looking-statement
widget:
- text: "We expect the age of our fleet to enhance availability and reliability due to reduced downtime for repairs. "
---
Forward-looking statements (FLS) inform investors of managers’ beliefs and opinions about firm's future event... | 1,472 |
yiyanghkust/finbert-esg | [
"None",
"Environmental",
"Social",
"Governance"
] | ---
language: "en"
tags:
- financial-text-analysis
- esg
- environmental-social-corporate-governance
widget:
- text: "Rhonda has been volunteering for several years for a variety of charitable community programs. "
---
ESG analysis can help investors determine a business' long-term sustainability and identify associat... | 1,276 |
Hate-speech-CNERG/dehatebert-mono-spanish | [
"NON_HATE",
"HATE"
] | ---
language: es
license: apache-2.0
---
This model is used detecting **hatespeech** in **Spanish language**. The mono in the name refers to the monolingual setting, where the model is trained using only English language data. It is finetuned on multilingual bert model.
The model is trained with different learning rate... | 1,058 |
cardiffnlp/twitter-roberta-base-hate | null | # Twitter-roBERTa-base for Hate Speech Detection
This is a roBERTa-base model trained on ~58M tweets and finetuned for hate speech detection with the TweetEval benchmark.
- Paper: [_TweetEval_ benchmark (Findings of EMNLP 2020)](https://arxiv.org/pdf/2010.12421.pdf).
- Git Repo: [Tweeteval official repository](https... | 2,362 |
Hate-speech-CNERG/bert-base-uncased-hatexplain | [
"hate speech",
"normal",
"offensive"
] | ---
language: en
license: apache-2.0
datasets:
- hatexplain
---
The model is used for classifying a text as **Hatespeech**, **Offensive**, or **Normal**. The model is trained using data from Gab and Twitter and *Human Rationales* were included as part of the training data to boost the performance.
The dataset and mo... | 1,012 |
microsoft/deberta-v2-xxlarge-mnli | [
"CONTRADICTION",
"NEUTRAL",
"ENTAILMENT"
] | ---
language: en
tags:
- deberta
- deberta-mnli
tasks: mnli
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
widget:
- text: "[CLS] I love you. [SEP] I like you. [SEP]"
---
## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
[DeBERTa](https://arxiv.org/abs/2006.03654) improves... | 4,795 |
microsoft/xtremedistil-l12-h384-uncased | null | ---
language: en
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
tags:
- text-classification
license: mit
---
# XtremeDistilTransformers for Distilling Massive Neural Networks
XtremeDistilTransformers is a distilled task-agnostic transformer model that leverages task transfer for learning a small uni... | 2,943 |
microsoft/DialogRPT-updown | null | # Demo
Please try this [➤➤➤ Colab Notebook Demo (click me!)](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
| Context | Response | `updown` score |
| :------ | :------- | :------------: |
| I love NLP! | Here’s a free textbook (URL) in case anyone needs it. | 0.613 |
| I... | 2,704 |
cross-encoder/ms-marco-MiniLM-L-4-v2 | [
"LABEL_0"
] | ---
license: apache-2.0
---
# Cross-Encoder for MS Marco
This model was trained on the [MS Marco Passage Ranking](https://github.com/microsoft/MSMARCO-Passage-Ranking) task.
The model can be used for Information Retrieval: Given a query, encode the query will all possible passages (e.g. retrieved with ElasticSearch).... | 3,233 |
microsoft/xtremedistil-l6-h384-uncased | null | ---
language: en
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
tags:
- text-classification
license: mit
---
# XtremeDistilTransformers for Distilling Massive Neural Networks
XtremeDistilTransformers is a distilled task-agnostic transformer model that leverages task transfer for learning a small uni... | 2,943 |
papluca/xlm-roberta-base-language-detection | [
"ar",
"bg",
"de",
"el",
"en",
"es",
"fr",
"hi",
"it",
"ja",
"nl",
"pl",
"pt",
"ru",
"sw",
"th",
"tr",
"ur",
"vi",
"zh"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-base-language-detection
results: []
---
# xlm-roberta-base-language-detection
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the [Language Identification](h... | 5,667 |
cointegrated/rubert-tiny-toxicity | [
"dangerous",
"insult",
"non-toxic",
"obscenity",
"threat"
] | ---
language: ["ru"]
tags:
- russian
- classification
- toxicity
- multilabel
widget:
- text: "Иди ты нафиг!"
---
This is the [cointegrated/rubert-tiny](https://huggingface.co/cointegrated/rubert-tiny) model fine-tuned for classification of toxicity and inappropriateness for short informal Russian texts, such as commen... | 2,880 |
sampathkethineedi/industry-classification | [
"Advertising",
"Aerospace & Defense",
"Apparel Retail",
"Apparel, Accessories & Luxury Goods",
"Application Software",
"Asset Management & Custody Banks",
"Auto Parts & Equipment",
"Biotechnology",
"Building Products",
"Casinos & Gaming",
"Commodity Chemicals",
"Communications Equipment",
"C... | ---
language: "en"
thumbnail: "https://huggingface.co/sampathkethineedi"
tags:
- distilbert
- pytorch
- tensorflow
- text-classification
- industry
- buisiness
- description
- multi-class
- classification
liscence: "mit"
inference: false
---
# industry-classification
## Model description
DistilBERT Model to classif... | 1,225 |
yoshitomo-matsubara/bert-large-uncased-sst2 | null | ---
language: en
tags:
- bert
- sst2
- glue
- torchdistill
license: apache-2.0
datasets:
- sst2
metrics:
- accuracy
---
`bert-large-uncased` fine-tuned on SST-2 dataset, using [***torchdistill***](https://github.com/yoshitomo-matsubara/torchdistill) and [Google Colab](https://colab.research.google.com/github/yoshitomo... | 829 |
TransQuest/monotransquest-da-multilingual | [
"LABEL_0"
] | ---
language: multilingual-multilingual
tags:
- Quality Estimation
- monotransquest
- DA
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation... | 5,423 |
Jeevesh8/bert_ft_qqp-0 | null | Entry not found | 15 |
rabindralamsal/BERTsent | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | # Sentiment Analysis of English Tweets (including COVID-19-specific tweets) with BERTsent
**BERTsent**: A finetuned **BERT** based **sent**iment classifier for English language tweets.
BERTsent is trained with SemEval 2017 corpus (39k plus tweets) and is based on [bertweet-base](https://github.com/VinAIResearch/BERTw... | 3,026 |
Jeevesh8/init_bert_ft_qqp-44 | null | Entry not found | 15 |
Jeevesh8/bert_ft_qqp-5 | null | Entry not found | 15 |
Jeevesh8/init_bert_ft_qqp-48 | null | Entry not found | 15 |
Jeevesh8/bert_ft_qqp-1 | null | Entry not found | 15 |
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