Token Classification
Transformers
Safetensors
English
bert
ner
named-entity-recognition
text-classification
sequence-labeling
transformer
nlp
pretrained-model
dataset-finetuning
deep-learning
huggingface
conll2025
real-time-inference
efficient-nlp
high-accuracy
gpu-optimized
chatbot
information-extraction
search-enhancement
knowledge-graph
legal-nlp
medical-nlp
financial-nlp
Instructions to use boltuix/NeuroBERT-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boltuix/NeuroBERT-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="boltuix/NeuroBERT-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("boltuix/NeuroBERT-NER") model = AutoModelForTokenClassification.from_pretrained("boltuix/NeuroBERT-NER", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signaturefdc13cd
-
Update README.md
Verified signature1deee4f -
Update README.md
Verified signature29d92f9 -
Update README.md
Verified signature0cbb6d7 -
Update README.md
Verified signature3712131 -
Update README.md
Verified signature571db52 -
Update README.md
Verified signature9fcefa7 -
Upload 6 files
Verified signature30c7f1f -
Delete model.safetensors
Verified signature135b57e -
Delete special_tokens_map.json
Verified signature556215c -
Delete tokenizer.json
Verified signatured6f9204 -
Delete tokenizer_config.json
Verified signature1978dbb -
Delete vocab.txt
Verified signaturec71c371 -
Delete config.json
Verified signature403b64d
-
Update README.md
Verified signature2f27342
-
Update README.md
Verified signature9b52993
-
Update README.md
Verified signaturec0f66c6 -
Update README.md
Verified signaturedcb5ff7
-
Update README.mdβ
Verified signaturebanner updated47ef0b7 -
Update README.mdβ
Verified signatureCode example updatedc23d33f -
Upload 6 filesβ
Verified signatureπ feat: upload BERT-NER model files and tokenizer configs for initial release π¦ Includes: - π οΈ config.json: model architecture and config - π§ model.safetensors: pre-trained weights (safetensors format) - π€ vocab.txt: tokenizer vocabulary - π§Ύ tokenizer.json: serialized tokenizer - βοΈ tokenizer_config.json: tokenizer settings - π§© special_tokens_map.json: special token mapping π§ͺ Model: Boltuix BERT-NER v1.0 π Dataset: CoNLL-2012 π Language: English π·οΈ Tags: token-classification, NER, transformers β Ready for inference and fine-tuning π39e6c9c -
Create README.mdβ
Verified signaturedocs: complete Boltuix BERT-NER model documentation with usage, training details, evaluation, and glossary8fc3075 -
initial commit
Verified signature0753525