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:
- eece8a0573609fc333ac47997dbd98f6819cb1a10765833032a98eead82025de
- Size of remote file:
- 1.06 kB
- SHA256:
- d2fa056f0dd8045fd8a509bf44b966e8de3b6c9a3aa2cfd5ee4f99471c42d9e1
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