
# JobBERTa

This is the JobBERTa model from:

**NNOSE: Nearest Neighbor Occupational Skill Extraction**. Mike Zhang, Rob van der Goot, Min-Yen Kan, and Barbara Plank. To appear at EACL 2024.
  
This model is continuously pre-trained from a `roberta-base` checkpoint on ~3.2M sentences from job postings. More information can be found in the paper.

If you use this model, please cite the following paper:

```
@article{zhang2024nnose,
  title={NNOSE: Nearest Neighbor Occupational Skill Extraction},
  author={Zhang, Mike and van der Goot, Rob and Kan, Min-Yen and Plank, Barbara},
  journal={arXiv preprint arXiv:2401.17092},
  year={2024}
}
```

{"language": ["en"], "tags": ["JobBERTa", "job postings"]}
transformers pytorch roberta fill-mask JobBERTa job postings en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #fill-mask #JobBERTa #job postings #en #autotrain_compatible #endpoints_compatible #region-us 


# JobBERTa

This is the JobBERTa model from:

NNOSE: Nearest Neighbor Occupational Skill Extraction. Mike Zhang, Rob van der Goot, Min-Yen Kan, and Barbara Plank. To appear at EACL 2024.
  
This model is continuously pre-trained from a 'roberta-base' checkpoint on ~3.2M sentences from job postings. More information can be found in the paper.

If you use this model, please cite the following paper:



# JobBERTa

This is the JobBERTa model from:

NNOSE: Nearest Neighbor Occupational Skill Extraction. Mike Zhang, Rob van der Goot, Min-Yen Kan, and Barbara Plank. To appear at EACL 2024.
  
This model is continuously pre-trained from a 'roberta-base' checkpoint on ~3.2M sentences from job postings. More information can be found in the paper.

If you use this model, please cite the following paper:
TAGS
#transformers #pytorch #roberta #fill-mask #JobBERTa #job postings #en #autotrain_compatible #endpoints_compatible #region-us 
 # JobBERTa

This is the JobBERTa model from:

NNOSE: Nearest Neighbor Occupational Skill Extraction. Mike Zhang, Rob van der Goot, Min-Yen Kan, and Barbara Plank. To appear at EACL 2024.
  
This model is continuously pre-trained from a 'roberta-base' checkpoint on ~3.2M sentences from job postings. More information can be found in the paper.

If you use this model, please cite the following paper:
TAGS
#transformers #pytorch #roberta #fill-mask #JobBERTa #job postings #en #autotrain_compatible #endpoints_compatible #region-us 
# JobBERTa

This is the JobBERTa model from:

NNOSE: Nearest Neighbor Occupational Skill Extraction. Mike Zhang, Rob van der Goot, Min-Yen Kan, and Barbara Plank. To appear at EACL 2024.
  
This model is continuously pre-trained from a 'roberta-base' checkpoint on ~3.2M sentences from job postings. More information can be found in the paper.

If you use this model, please cite the following paper: