allennlp
catwalk
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| allennlp | catwalk | |
|---|---|---|
| 13 | 1 | |
| 11,337 | 129 | |
| - | 14.0% | |
| 8.4 | 8.0 | |
| over 1 year ago | 10 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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allennlp
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How to solve ConfigurationError using HuggingFace Token Classifier
No clue. So what I did was google the error. Here's what I found: https://github.com/allenai/allennlp/issues/4319
- AllenNLP will be unmaintained in December
- AllenNLP Is EOL
- Any recommendation for the replacement of the toolkit jiant? [Research] [Discussion]
- Cedille, the largest French language model, open source with a freely accessible playground
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[P] Cedille, the largest French language model (6b), released in open source
Another aspect we had fun with is dataset filtering. We have run the whole C4 French dataset through the Detoxify classifier to clean it up 🤬
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Any allennlp users in this sub?
https://github.com/allenai/allennlp/discussions looks active
- Multilingual C4 (mC4) Dataset now released
- C4 dataset released (800GB Common Crawl-derived text; T5 training data)
catwalk
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AllenNLP will be unmaintained in December
Maybe we need to re-work the docs if the DAG aspects stick out to you so much. The main functionality is the cache. If you have a complex experiment, you can still write the code as if all the steps were fast, and let them be slow only the first time you run it. The DAG stuff is also nice, but less important.
That said, you could execute sklearn. If that's what your experiment needs, it's the right thing to do. This is why it gives us the flexibility to also support Jax: https://github.com/allenai/tango/pull/313
The DL-specific stuff is in the components we supply. Like the trainer, dataset handling stuff, file formats, and increasingly, https://github.com/allenai/catwalk.
What are some alternatives?
cedille-ai - ✒️ Cedille is a large French language model (6B), released under an open-source license
tango - Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
lm-evaluation-harness - A framework for few-shot evaluation of language models.
python-sutime - Python wrapper for Stanford CoreNLP's SUTime
PaddleHub - Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
inltk - Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)
attention-is-all-you-need-pytorch - A PyTorch implementation of the Transformer model in "Attention is All You Need".