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Hi,
I want to train a Multi-modal using Image and Text for Multi-label classification.
Can you please help me to understand what latest multi-modal are available that takes image and text as an i…
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Traceback (most recent call last):
File "run.py", line 28, in
train_data, dev_data, test_data = build_dataset(config)
File "D:\PYTHON_PROGRAMME\Bert-Chinese-Text-Classification\utils.py", …
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It is amazing to use fastText to classify documents for its speed and accuracy.
But I have no idea about how to avoid overfitting effectively.
When I use bigrams and train more epochs, the training …
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Hi,
I'm trying to run your code for text classification tasks but I'm not sure about the hyperparameters setting here.
Currently, I'm using alpha = 0.05, and **normalize the final features as wh…
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EDIT: I'm expanding this to other flat taxonomy stuff, feel free to add whatever I'm still missing.
**Is your feature request related to a problem? Please describe.**
What (from identification_o…
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# Problem and Question
Hi, I have take a look the poem project. And want to use another data for indexing. How to use labeled csv to do supervised learning with text data?
my data sample.tsv with …
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use to test generalization to unseen labels; maybe use FLEX?
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Problem Description:
The aim is to develop a robust spam email detection model that can accurately classify emails as spam or not spam. With the increasing volume of email communication, distinguis…
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- [ ] Hugging Face
- [x] Image Classification
- [ ] Text to Image
- [ ] Image to Image
- [ ] Text to Audio
- [ ] Audio to Text
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Bad documenttaion. not very long errors
Detecting toxicity in outputs generated by Large Language Models (LLMs) is crucial for ensuring that these models produce safe, respectful, and appropriate con…