Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/roberta-base_fold_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/roberta-base_fold_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/roberta-base_fold_8")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/roberta-base_fold_8") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/roberta-base_fold_8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f56afba2d201f026fba1b33f1422ff0a025529db3b0ef54397b0bbe41f63ffb
- Size of remote file:
- 5.27 kB
- SHA256:
- c9fd4877bafb4af6188ae9975e818f4139c0ba8c8e7c4a93e667aa7ca849d63c
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