Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/roberta-base_fold_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/roberta-base_fold_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/roberta-base_fold_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/roberta-base_fold_1") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/roberta-base_fold_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de5a515a6ae44f98e16084c1a41716aebdc9c6c0e2336d776e9926ad423e7349
- Size of remote file:
- 5.27 kB
- SHA256:
- 6ebe3ae16946f7805508093636c0779a111ab68e707e658e09b092e2cdeddd33
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