BERT-NER
sparktorch
| BERT-NER | sparktorch | |
|---|---|---|
| 1 | 1 | |
| 1,182 | 334 | |
| - | - | |
| 0.0 | 2.5 | |
| almost 3 years ago | 12 months ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | MIT License |
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BERT-NER
sparktorch
-
Spark2 + pytorch on GPU
Was reading the documentation of sparktorch (https://github.com/dmmiller612/sparktorch) which says you need spark >= 2.4.4. But to the best of my knowledge spark2 doesn't have gpu compute capabilities. Does that mean it can only use cpu compute? Am I missing something?
What are some alternatives?
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
fastT5 - âš¡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
torch2trt - An easy to use PyTorch to TensorRT converter
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.
openfl - An open framework for Federated Learning.
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
FARM - :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.