Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/roberta-base_fold_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/roberta-base_fold_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/roberta-base_fold_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/roberta-base_fold_0") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/roberta-base_fold_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f7950d39ea3db7ce0e535deeabbe685840cfc769ae716a375a4950c8cd84a4a
- Size of remote file:
- 5.27 kB
- SHA256:
- 298b9c9d36a76128ff46ad04315a0bc49d7bb2c110286b1571fd01714f081027
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