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mountain-ner-bert
ra1nbowdash/mountain-ner-bert
mountain-ner-bert is a token classification model from ra1nbowdash. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
Fine-tuned BERT token classifier for mountain named entity recognition (O, B-MOUNTAIN, I-MOUNTAIN).
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.safetensors431 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jul 22, 2026
- Updated
- Jul 22, 2026
- SHA
- 2e0f9b2f
Try a prompt
Model card
From the Hugging Face model README
Mountain NER (BERT fine-tuned)
Fine-tuned BERT token classifier for mountain named entity recognition
(O, B-MOUNTAIN, I-MOUNTAIN).
Metrics (held-out test, 831 sentences)
| Metric | Value |
|---|---|
| Precision | 0.9448 |
| Recall | 0.9377 |
| F1 | 0.9413 |
Source: Task_1_NLP/artifacts/eval/notebook_eval_results.csv in the assessment repo.
Load
from transformers import AutoModelForTokenClassification, AutoTokenizer
repo = "<YOU>/mountain-ner-bert" # after upload
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForTokenClassification.from_pretrained(repo)
Local path before upload: publish/hf-task1-bert-ner/.
Training notes
- Started from a CoNLL-2003 NER BERT checkpoint and adapted to the mountain label set.
- Full pipeline: see
Task_1_NLP/in the GitHub assessment repository. - Intermediate Trainer checkpoints were excluded from this upload (final
model.safetensorsonly).
Citation / context
DS internship assessment — Task 1 (Mountain NER).
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Jul 22, 2026
- Updated
- Jul 22, 2026