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:
- 3e4740a790f23ec4e4232451c9577c595778880c8ad843918d74610a0830b0b0
- Size of remote file:
- 5.27 kB
- SHA256:
- 86b4c91779530e7f5bde80d61f085a506c7a85f027024b7a97efb86c7c51b2ff
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