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
File size: 129 Bytes
5051d7c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:484a72da6829ad6a4c10c064f5e6c35d5339581c032251ac7757b97812f36562
size 3439
|