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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4ab57d7d2ac7e46dd512f0a361f0031d5320ec93b1eb1e7c3ffd4ce23a80e53
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size 437411684
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