Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/roberta-base_fold_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/roberta-base_fold_7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/roberta-base_fold_7")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/roberta-base_fold_7") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/roberta-base_fold_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0d0956d0739fb045be6064030c47551509b4abf01bb00a2ee2fe9b9d2a89bcd
- Size of remote file:
- 499 MB
- SHA256:
- cae39767ff6d2cc62c7bebe14d2defc41d7d9fcc371545ab18f3aee7f28cbd79
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