Instructions to use ankekat1000/deliberative-bert-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ankekat1000/deliberative-bert-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ankekat1000/deliberative-bert-german")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ankekat1000/deliberative-bert-german") model = AutoModelForSequenceClassification.from_pretrained("ankekat1000/deliberative-bert-german") - 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 sha256:3d9256e898a7475f5923a036c5ba9a372a4cb1a5d457a85efa88a9cab4668e23
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size 436359248
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