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:
- 018b2a6523d955c6668e30ea7abb97ef7e3f2e73b3db106001bce32a70cdaa88
- Size of remote file:
- 997 MB
- SHA256:
- c4a75e6ee56b64314fcb0d698c3ddff910de2b03a422eeba725d74c5a6dcc280
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