ramiroc3/tds-bert-pos-ewt
token-classification model by ramiroc3
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Model card & documentation
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English Part-of-Speech (POS) tagging using Universal Dependencies EWT (17 UPOS tags) developed for an academic course assignment. Not intended for production-critical NLP applications without domain-specific validation. Evaluation performed on the validation set (dev split): Trained on…
Read the full model card ↗ · Preview checked 2026-09-25T08:45:41.896Z
Inside the original model card — Document outline
- BERT POS Tagging on UD English EWT (Winning Model)
- Intended Use
- Model and Training Details
- Evaluation Results
- Comparison with Baseline
- Limitations
- References
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Model overview
ramiroc3/tds-bert-pos-ewt is a token-classification model repository published by ramiroc3 on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- token-classification
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 108,904,721
- Architecture
- BertForTokenClassification
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-09-25T06:12:07.000Z
- Last modified
- 2026-09-25T06:16:51.000Z
Compatibility and lineage
Reported languages: en
Reported base models: google-bert/bert-base-uncased
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-25T06:37:40.528Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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