Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/roberta-base_fold_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/roberta-base_fold_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/roberta-base_fold_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/roberta-base_fold_4") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/roberta-base_fold_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aed0815288ac1dead25c67137047a625bc50b30262a9ffe75b13610a7d95b336
- Size of remote file:
- 5.27 kB
- SHA256:
- 19680724995db78d628b6e788c47a4ceb33cbf44182d3f7d160cdf05674b6c30
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