newsapi
adaptnlp
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newsapi | adaptnlp | |
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1 | 2 | |
1 | 414 | |
- | 0.0% | |
0.0 | 0.0 | |
almost 2 years ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
- | Apache License 2.0 |
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newsapi
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Open Source news api for developers
github repository link: View Source code
adaptnlp
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Tools to use for Semantic-searching Question Answering System
Check out adaptnlp
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Case Sensitivity using HuggingFace & Google's T5 model (base)
Yes, there are capitals in the tokenizer vocabulary of t5-base and t5-small, so both support capitalization. A few days ago I was using t5-small through adaptnlp for extractive summarization and capitalization was working fine (https://github.com/Novetta/adaptnlp). AdaptNLP is basically just a transformers wrapper, so if you can't figure out a solution, you could just dissect their source code.
What are some alternatives?
california-coronavirus-scrapers - The open-source web scrapers that feed the Los Angeles Times California coronavirus tracker.
Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.
keytotext - Keywords to Sentences
fastai - The fastai deep learning library
browser-ml-inference - Edge Inference in Browser with Transformer NLP model
gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
Deep-Learning-Experiments - Videos, notes and experiments to understand deep learning
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
BLOOM-fine-tuning - Finetune BLOOM
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ecco - Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).