BERT-pytorch
keras-xlnet
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| BERT-pytorch | keras-xlnet | |
|---|---|---|
| 1 | 1 | |
| 5,995 | 172 | |
| - | - | |
| 0.0 | 0.0 | |
| 8 months ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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BERT-pytorch
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Lack of activation in transformer feedforward layer?
I'm curious as to why the second matrix multiplication is not followed by an activation unlike the first one. Is there any particular reason why a non-linearity would be trivial or even avoided in the second operation? For reference, variations of this can be witnessed in a number of different implementations, including BERT-pytorch and attention-is-all-you-need-pytorch.
keras-xlnet
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[Research] How do you train on and evaluate GLUE STS-B?
I've found this online looking for the very same answer. It's from 2019 and I haven't tried it (yet) but this should hopefully help as an example: Github link.
What are some alternatives?
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
Transformers4Rec - Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
scibert - A BERT model for scientific text.
cuad - CUAD (NeurIPS 2021)
attention-is-all-you-need-pytorch - A PyTorch implementation of the Transformer model in "Attention is All You Need".
Indic-BERT-v1 - Indic-BERT-v1: BERT-based Multilingual Model for 11 Indic Languages and Indian-English. For latest Indic-BERT v2, check: https://github.com/AI4Bharat/IndicBERT