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:
- a9daa0e5dc50e33eb20a8d06d9379fc71ebb430875a87f9804ebdbd240a3208e
- Size of remote file:
- 5.37 kB
- SHA256:
- a35eeb374e713b01166c7860c6849f28e4f443977c5fac72c61d289f2358a6a4
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