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en_roberta_base_leetspeak_ner
Huertas97/en_roberta_base_leetspeak_ner
en_roberta_base_leetspeak_ner is a token classification model from Huertas97. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as apache-2.0.
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Repo size
961 MB
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At a glance
- Task
- Token Classification
- Library
- spacy
- License
- apache-2.0
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 17, 2022
- SHA
- 3f36fc05
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_roberta_base_leetspeak_ner |
| Version | 0.0.0 |
| spaCy | >=3.2.1,<3.3.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | roberta-base pre-trained model on English language using a masked language modeling (MLM) objective by Yinhan Liu et al. <br> LeetSpeak-NER app where this model is in production for countering information disorders |
| License | Apache 2.0 |
| Author | Álvaro Huertas García at AI+DA |
Label Scheme
<details> <summary>View label scheme (4 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | INV_CAMO, LEETSPEAK, MIX, PUNCT_CAMO |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 82.80 |
ENTS_P | 79.66 |
ENTS_R | 86.20 |
TRANSFORMER_LOSS | 177808.42 |
NER_LOSS | 608427.31 |
- Task
- Token Classification
- Library
- spacy
- License
- apache-2.0
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Jan 17, 2022