Instructions to use whitedevil0089devil/roberta_base_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitedevil0089devil/roberta_base_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitedevil0089devil/roberta_base_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whitedevil0089devil/roberta_base_1") model = AutoModelForSequenceClassification.from_pretrained("whitedevil0089devil/roberta_base_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a62e05d99be49d70a6ba7a072cca47df6b6cb85cf8ce21739990ee1f7c2d6fb1
- Size of remote file:
- 5.37 kB
- SHA256:
- 9105e2fd9a8b74bd19603646fc3a1ae43f1ce5928f6fb45f97800b4950f53242
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