Instructions to use JanSt/gbert-base_DA_sosec-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JanSt/gbert-base_DA_sosec-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JanSt/gbert-base_DA_sosec-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JanSt/gbert-base_DA_sosec-sentiment") model = AutoModelForSequenceClassification.from_pretrained("JanSt/gbert-base_DA_sosec-sentiment") - 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:c01ad0282a920b36e60bde3ad3a55b0ef45c359b9ba2c903df4f96b76ac04775
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size 439743484
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