Text Classification
Transformers
PyTorch
Slovenian
camembert
Eval Results (legacy)
text-embeddings-inference
Instructions to use cjvt/sloberta-sentinews-sentence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjvt/sloberta-sentinews-sentence with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cjvt/sloberta-sentinews-sentence")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cjvt/sloberta-sentinews-sentence") model = AutoModelForSequenceClassification.from_pretrained("cjvt/sloberta-sentinews-sentence", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab4ce5fff05eb7e84995eaf9937ad00da8afe6ae21a3048f666d04ae7314807e
- Size of remote file:
- 3.44 kB
- SHA256:
- 484a72da6829ad6a4c10c064f5e6c35d5339581c032251ac7757b97812f36562
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