Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/roberta-base_fold_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/roberta-base_fold_9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/roberta-base_fold_9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/roberta-base_fold_9") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/roberta-base_fold_9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28f7e532e6e57863c0deebf93382cd44ac90aca928319d484b3416767621afb1
- Size of remote file:
- 5.27 kB
- SHA256:
- d8ac386a756cc54e4672a4904efb36ba866f402581a46dbb242752bb0e3ebf2c
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