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")# pip install -U transformers accelerate # 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
Download split_indices.json from cjvt/sloberta-sentinews-sentence: direct link, hf CLI and curl.
- Browser
- Download file 2.59 MB
-
https://huggingface.co/cjvt/sloberta-sentinews-sentence/resolve/main/split_indices.json
- Command line
-
hf download hf://cjvt/sloberta-sentinews-sentence/split_indices.json
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curl -L -o split_indices.json https://huggingface.co/cjvt/sloberta-sentinews-sentence/resolve/main/split_indices.json
2.59 MB
File too large to display, you can check the raw version instead.