Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/roberta-base_train_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/roberta-base_train_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/roberta-base_train_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/roberta-base_train_v1") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/roberta-base_train_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 257eff1274dbfcaf5aaf9b74274c139dec7da40eec356e4dc9a84f18e826d7ed
- Size of remote file:
- 5.27 kB
- SHA256:
- 703485a4307d93c08fc50787273e69bb36d604cd2253325f879c7213332942ff
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