browser-ml-inference
adaptnlp
| browser-ml-inference | adaptnlp | |
|---|---|---|
| 1 | 2 | |
| 294 | 414 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| over 1 year ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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browser-ml-inference
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?
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HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
keytotext - Keywords to Sentences
anime-or-not - NLP model that determines whether a plot is anime enough
fastai - The fastai deep learning library
predict-subreddit - NLP model that predicts subreddit based on the title of a post
gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
converse - Conversational text Analysis using various NLP techniques
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
clip-italian - CLIP (Contrastive Language–Image Pre-training) for Italian
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.