Token Classification
Transformers
Safetensors
English
bert
ner
named-entity-recognition
job-postings
distilled
Instructions to use AchrafSoltani/jobbert-ner-haiku-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AchrafSoltani/jobbert-ner-haiku-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AchrafSoltani/jobbert-ner-haiku-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AchrafSoltani/jobbert-ner-haiku-v1") model = AutoModelForTokenClassification.from_pretrained("AchrafSoltani/jobbert-ner-haiku-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model card: add Mohamed Hanine (Universite Chouaib Doukkali) as co-author
Browse files
README.md
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# jobbert-ner-haiku-v1
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Distilled Named Entity Recognition model for English-language job postings. One of six students produced for the paper *Distributed NER on Spark: A Teacher-Student Pipeline for Large-Scale Entity Extraction from Job Postings* (Soltani 2026).
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- **Teacher:** Claude Haiku 4.5 (labels acquired via AWS Bedrock)
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- **Architecture:** jjzha/jobbert-base-cased fine-tuned for 8-class token classification
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```bibtex
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@unpublished{soltani2026distilledner,
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author = {Achraf Soltani},
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title = {Distributed NER on Spark: A Teacher-Student Pipeline for Large-Scale Entity Extraction from Job Postings},
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year = {2026},
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note = {Advisor: Prof.\ Hanine Mohamed},
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# jobbert-ner-haiku-v1
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Distilled Named Entity Recognition model for English-language job postings. One of six students produced for the paper *Distributed NER on Spark: A Teacher-Student Pipeline for Large-Scale Entity Extraction from Job Postings* (Soltani and Hanine 2026).
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- **Teacher:** Claude Haiku 4.5 (labels acquired via AWS Bedrock)
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- **Architecture:** jjzha/jobbert-base-cased fine-tuned for 8-class token classification
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```bibtex
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@unpublished{soltani2026distilledner,
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author = {Achraf Soltani and Mohamed Hanine},
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title = {Distributed NER on Spark: A Teacher-Student Pipeline for Large-Scale Entity Extraction from Job Postings},
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year = {2026},
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note = {Advisor: Prof.\ Hanine Mohamed},
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