Text Classification
Transformers
TensorBoard
Safetensors
modernbert
wissamantoun commited on
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Update README.md

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@@ -54,30 +54,30 @@ print(probs.argmax(dim=-1))
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  ```
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  You can convert the `logits` of the model with a softmax to obtain a probability distribution over the following 24 categories (in order of labels, also see `id2label` and `label2id` in the model config):
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- 1. Adult
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- 2. Art & Design
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- 3. Software Dev.
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- 4. Crime & Law
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- 5. Education & Jobs
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- 6. Hardware
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- 7. Entertainment
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- 8. Social Life
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- 9. Fashion & Beauty
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- 10. Finance & Business
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- 11. Food & Dining
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- 12. Games
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- 13. Health
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- 14. History
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- 15. Home & Hobbies
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- 16. Industrial
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- 17. Literature
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- 18. Politics
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- 19. Religion
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- 20. Science & Tech.
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- 21. Software
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- 22. Sports & Fitness
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- 23. Transportation
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- 24. Travel
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  The full definitions of the categories can be found in the [taxonomy config](https://github.com/CodeCreator/WebOrganizer/blob/main/define_domains/taxonomies/topics.yaml).
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  ```
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  You can convert the `logits` of the model with a softmax to obtain a probability distribution over the following 24 categories (in order of labels, also see `id2label` and `label2id` in the model config):
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+ 0. Academic Writing
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+ 1. Content Listing
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+ 2. Creative Writing
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+ 3. Customer Support
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+ 4. Comment Section
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+ 5. FAQ
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+ 6. Truncated
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+ 7. Knowledge Article
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+ 8. Legal Notices
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+ 9. Listicle
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+ 10. News Article
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+ 11. Nonfiction Writing
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+ 12. About (Org
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+ 13. News (Org
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+ 14. About (Pers
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+ 15. Personal Blog
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+ 16. Product Page
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+ 17. Q&A Forum
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+ 18. Spam / Ads
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+ 19. Structured Data
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+ 20. Documentation
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+ 21. Audio Transcript
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+ 22. Tutorial
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+ 23. User Review
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  The full definitions of the categories can be found in the [taxonomy config](https://github.com/CodeCreator/WebOrganizer/blob/main/define_domains/taxonomies/topics.yaml).
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