Instructions to use KPF/KPF-bert-cls3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KPF/KPF-bert-cls3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KPF/KPF-bert-cls3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KPF/KPF-bert-cls3") model = AutoModelForSequenceClassification.from_pretrained("KPF/KPF-bert-cls3") - 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 sha256:06871ef8ccf2a5342bf18cd1687a7b69964a2db58023c3b664bb504d45e96dc0
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size 456182932
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