Text Classification
Transformers
Safetensors
PyTorch
English
roberta
question-answering
text-embeddings-inference
Instructions to use whitedevil0089devil/roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitedevil0089devil/roberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitedevil0089devil/roberta_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whitedevil0089devil/roberta_base") model = AutoModelForSequenceClassification.from_pretrained("whitedevil0089devil/roberta_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06c26a713691a66818e720d4997587902f66527f5b3068268e89d3e3f3c4e493
- Size of remote file:
- 988 Bytes
- SHA256:
- d85955f6b1521b66b4f3808cd255d4a7ca993f424aa522542e275911b2298bac
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