Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/roberta-base_fold_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/roberta-base_fold_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/roberta-base_fold_5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/roberta-base_fold_5") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/roberta-base_fold_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f8fef135a7ca744206ef2a89c65eb9f770f029288f55602a8e4c2c4772cb3fc
- Size of remote file:
- 5.27 kB
- SHA256:
- 160f42363459a1f829b9b166be0b4e0104032c2f250375441f5af843f3a0a7ed
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