transformer-mlm
BERT-pytorch
transformer-mlm | BERT-pytorch | |
---|---|---|
1 | 1 | |
4 | 6,002 | |
- | - | |
3.1 | 0.0 | |
8 months ago | 8 months ago | |
Python | Python | |
The Unlicense | Apache License 2.0 |
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transformer-mlm
BERT-pytorch
-
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.
What are some alternatives?
Transformers4Rec - Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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.)
RATransformers - RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!
extreme-bert - ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.
transformer-pytorch - Transformer: PyTorch Implementation of "Attention Is All You Need"
scibert - A BERT model for scientific text.
cuad - CUAD (NeurIPS 2021)