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:
- 2da6cebdd343a623318ca4ec9903f89dad1ee8dc2558037d04bb7bb083a90c03
- Size of remote file:
- 499 MB
- SHA256:
- 8838159a408d7f5fbd8ddc74b1f342bdc98993ef6a2fcdd67235ffd6198a8667
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