Instructions to use jabo/GenderSequenceAnnotation-gbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jabo/GenderSequenceAnnotation-gbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jabo/GenderSequenceAnnotation-gbert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jabo/GenderSequenceAnnotation-gbert-base") model = AutoModelForTokenClassification.from_pretrained("jabo/GenderSequenceAnnotation-gbert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 957742b41e18adb97d036c26a6570c47ad22e5dab96e1d7c29ab67d505ffec3a
- Size of remote file:
- 437 MB
- SHA256:
- 5aef9570ce015f3c38e3c93fe66f7414f618643874c5a3f8e031636afc2a40cb
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