Instructions to use jabo/GenderSequenceAnnotation-gbert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jabo/GenderSequenceAnnotation-gbert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jabo/GenderSequenceAnnotation-gbert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jabo/GenderSequenceAnnotation-gbert-large") model = AutoModelForTokenClassification.from_pretrained("jabo/GenderSequenceAnnotation-gbert-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18557c476bcb90cb6180754aeb1cf1ba68e5f1901acc544cb021ede6d240b32f
- Size of remote file:
- 1.34 GB
- SHA256:
- e23a037d48bd56c0904cd6d18fefc981e297ab89a844f8177ee73eb6fcac6456
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