Token Classification
Adapters
Safetensors
Transformers
English
distilbert
resume-classification
multi-label-classification
human-resources
career-guidance
fine-tuned
Instructions to use holygrimm/Res-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use holygrimm/Res-BERT with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("holygrimm/Res-BERT", set_active=True) - Transformers
How to use holygrimm/Res-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="holygrimm/Res-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("holygrimm/Res-BERT") model = AutoModelForTokenClassification.from_pretrained("holygrimm/Res-BERT") - Notebooks
- Google Colab
- Kaggle
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