Topic: "xlnet-pytorch"
deepset-ai/FARM 📦
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Language: Python - Size: 6.97 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 1,750 - Forks: 249
graykode/xlnet-Pytorch
Simple XLNet implementation with Pytorch Wrapper
Language: Jupyter Notebook - Size: 560 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 583 - Forks: 107
Shivampanwar/Bert-text-classification
This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation
Language: Jupyter Notebook - Size: 568 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 62 - Forks: 34
jinudaniel/amazon-fine-food-reviews
Determine the polarity of amazon fine food reviews using ULMFiT, BERT, XLNet and RoBERTa
Language: Jupyter Notebook - Size: 663 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 4
vishal-burman/PyTorch-Architectures
PyTorch implementation of Deep-Learning Architectures
Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 3
MiSaengg/gunhee-RnD-space
R&D for datasets for book genres
Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
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.
Language: Jupyter Notebook - Size: 3.52 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
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.
Language: Jupyter Notebook - Size: 54.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1
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.
Language: Python - Size: 124 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
Priyanka-Sachan/Complaint-Identification-using-FL
Identifying complaints on social media using transformer-XL based XLNet model
Language: Jupyter Notebook - Size: 628 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
