Token Classification
Transformers
Safetensors
Chinese
bert
feature-extraction
jobbert-zh
chinese-skillspan
crf
job-advertisements
lskt
Instructions to use AlfredJames/jobbert-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlfredJames/jobbert-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AlfredJames/jobbert-zh")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AlfredJames/jobbert-zh") model = AutoModel.from_pretrained("AlfredJames/jobbert-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
15 days ago
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Align model documentation with Chinese-SkillSpan manuscript
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30 days ago
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Add data-sources paragraph to Access and scope; link docs/data_sources.md.
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Refresh model card: JobBERT-zh initialization and loading details.
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Sync model card: Zenodo v0.1.3, paper-main 0.4331, human-reference naming.
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Add Zenodo DOI, disable default widget, fill authors
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Point model card code link to the public GitHub repository.
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Revise public model card: two-stage layout, remove stale local-only claim.
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Add JobBERT-zh encoder ckpt65000, V4 CRF best.pt, and model card.
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initial commit
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