Dr-BERT/DrBERT-4GB
In recent years, pre-trained language models (PLMs) achieve the best performance on a wide range of natural language processing (NLP) tasks. While the first models were trained on general domain data, specialized ones have emerged to more effectively treat specific domains.
README
license: apache-2.0 datasets: Dr-BERT/NACHOS language: fr libraryname: transformers tags: medical chemistry biomedical life science DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains In recent years, pre-trained language models (PLMs) achieve the best performance on a wide range of natural language processing (NLP) tasks. While the first models were trained on general domain data, specialized ones have emerged to more effectively treat specific domains. In this…
- HuggingFace
- https://huggingface.co/Dr-BERT/DrBERT-4GB
Source attribution
- HuggingFace — Dr-BERT/DrBERT-4GB
Related resources
Dr-BERT/DrBERT-7GB
by Dr-BERTIn recent years, pre-trained language models (PLMs) achieve the best performance on a wide range of natural language processing (NLP) tasks. While the first models were trained on general domain data, specialized ones have emerged to more effectively treat specific domains.
In recent years, pre-trained language models (PLMs) achieve the best performance on a wide range of natural language processing (NLP) tasks. While the first models were trained on general domain data, specialized ones have emerged to more effectively treat specific domains.
This model is a lightweight model pre-trained on SELFIES (Self-Referencing Embedded Strings) representations of molecules. It is trained on 2.7M unique and valid molecules taken from COCONUTDB and ChemBL34, with 7.3M total generated masked examples.
Deep learning for chemistry and materials science remains a novel field with lots of potiential. However, the popularity of transfer learning based methods in areas such as NLP and computer vision have not yet been effectively developed in computational chemistry + machine learning.
Dr-BERT/DrBERT-4GB-CP-CamemBERT
by Dr-BERTIn recent years, pre-trained language models (PLMs) achieve the best performance on a wide range of natural language processing (NLP) tasks. While the first models were trained on general domain data, specialized ones have emerged to more effectively treat specific domains.