Instructions to use JanSt/gbert-base_DA_sosec-relevance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JanSt/gbert-base_DA_sosec-relevance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JanSt/gbert-base_DA_sosec-relevance")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JanSt/gbert-base_DA_sosec-relevance") model = AutoModelForSequenceClassification.from_pretrained("JanSt/gbert-base_DA_sosec-relevance") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:ec8181000e668be02424a4f59096f5afc7e29eed67151bf0b50c5b02c043f006
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size 439740408
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