BERTweet
FARM
| BERTweet | FARM | |
|---|---|---|
| 1 | 3 | |
| 557 | 1,723 | |
| 0.4% | 0.3% | |
| 2.6 | 0.0 | |
| 5 months ago | 4 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
BERTweet
-
A pre-trained BERT-like model with recent events?
Not sure if that's what you are looking for, but BERTweet has model trained on tweets containing COVID keywords https://github.com/VinAIResearch/BERTweet
FARM
-
Can someone please explain to me the differences between train, dev and test datasets?
I'm also trying to solve this task in a python notebook (.ipynb) using the FARM framework https://farm.deepset.ai/ and BERT model of huggingface https://huggingface.co/bert-base-uncased
-
Fine-Tuning Transformers for NLP
For anyone looking to fine-train transformers with less work, there is the FARM project (https://github.com/deepset-ai/FARM) which has some more or less ready-to-go configurations (classification, question answering, NER, and a couple of others). It's really almost "plug in a csv and run".
By the way, a pet peeve is sentiment detection. It's a useful method, but please be aware that it does not measure "sentiment" in a way that one would normally think, and that what it measure varies strongly across methods (https://www.tandfonline.com/doi/abs/10.1080/19312458.2020.18...).
-
Has anyone deployed a BERT like model across multiple tasks (Multi-class, NER, outlier detection)? Seeking advice.
You can use https://github.com/deepset-ai/FARM or https://github.com/nyu-mll/jiant for multitask learning. The second is more general.
What are some alternatives?
simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Giveme5W1H - Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
DeBERTa - The implementation of DeBERTa
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
CoWin-Vaccine-Notifier - Automated Python Script to retrieve vaccine slots availability and get notified when a slot is available.
Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms
nlu - 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
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.
kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
covid-19-germany-gae - COVID-19 statistics for Germany. For states and counties. With time series data. Daily updates. Official RKI numbers.
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT