Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/roberta-base_fold_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/roberta-base_fold_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/roberta-base_fold_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/roberta-base_fold_6") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/roberta-base_fold_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d74f77d0d3e3cc3f89eaaccdfe91119ee22b842ce1f310bf4db8e08896940612
- Size of remote file:
- 5.27 kB
- SHA256:
- 5f678127616117621b1e31b236352ef8395b8aeee52c4b283d31a962f18735de
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