xlnet-pytorch

There are 0 repository under xlnet-pytorch topic.

FARM
deepset-ai / FARM
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
language-models bert nlp deep-learning transfer-learning pytorch nlp-library nlp-framework xlnet-pytorch ner question-answering pretrained-models roberta germanbert
Language:Python 1727
graykode / xlnet-Pytorch
Simple XLNet implementation with Pytorch Wrapper
xlnet xlnet-pytorch bert nlp natural-language-processing pytorch
Language:Jupyter Notebook 573
Shivampanwar / Bert-text-classification
This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation
bert-text-classification pytorch-transformers text-classififcation xlnet-pytorch xlnet sota-technique
Language:Jupyter Notebook 69
SuperpeakZhou / emotion_reg
疫情期间网民情绪识别代码，包含lstm，bert，xlnet，robert，最高f1为0.725 部署在Google colab
bert bert-model xlnet xlnet-pytorch python3 pytorch lstm lstm-model
Language:Jupyter Notebook 43
jinudaniel / amazon-fine-food-reviews
Determine the polarity of amazon fine food reviews using ULMFiT, BERT, XLNet and RoBERTa
fastai nlp-machine-learning sentiment-analysis pytorch torchtext bert pytorch-transformers xlnet-pytorch xlnet roberta
Language:Jupyter Notebook 13
vishal-burman / PyTorch-Architectures
PyTorch implementation of Deep-Learning Architectures
python pytorch cnn image-classification bert torchvision densenet-pytorch alexnet-pytorch vgg16 xlnet-pytorch mlp-mixer fnet tab-transformer vit pytorch-architectures language-model text-classification
Language:Jupyter Notebook 10
human-values-detection
alessiococchieri / human-values-detection
This GitHub repository presents our solution to Touché 2023 Task 4: Human Value Detection, a multilabel text classification task. We fine-tuned transformer architectures like BERT, RoBERTa, and XLNet to classify whether or not a given argument draws on a human value category.
bert text-classification human-va fine-tuning roberta xlnet-pytorch multilabel-classification natural-language-processing nlp
Language:Jupyter Notebook 2
pradeepdev-1995 / BERT-models-finetuning
BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based method of learning language representations. It is a bidirectional transformer pre-trained model developed using a combination of two tasks namely: masked language modeling objective and next sentence prediction on a large corpus.
nlp machine-learning deep-learning bert transformer xlnet albert distilbert roberta xlnet-pytorch multi-class-classification python data-science fine-tuning pretrained-models
Language:Python 2
MiSaengg / gunhee-RnD-space
R&D for datasets for book genres
jupyter-notebook nlp-datasets python3 xlnet-pytorch gpt
Language:Jupyter Notebook 1
Sark-07 / Copysafe
This is a document's contextual similarity evaluation tool. It captures the contextual meaning of a document and compares it with other document's contextual meaning stored in its dataset.
bert deep-learning streamlit transformers xlnet-pytorch
Language:Jupyter Notebook 1
Priyanka-Sachan / Complaint-Identification-using-FL
Identifying complaints on social media using transformer-XL based XLNet model
xlnet-pytorch
Language:Jupyter Notebook 0

xlnet-pytorch

deepset-ai / FARM

graykode / xlnet-Pytorch

Shivampanwar / Bert-text-classification

SuperpeakZhou / emotion_reg

jinudaniel / amazon-fine-food-reviews

vishal-burman / PyTorch-Architectures

alessiococchieri / human-values-detection

pradeepdev-1995 / BERT-models-finetuning

MiSaengg / gunhee-RnD-space

Sark-07 / Copysafe

Priyanka-Sachan / Complaint-Identification-using-FL