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:
- d7bc317d58c4da4f0c3f7daae5eac598a92eb4dbe73403dd28898a86f4c854cd
- Size of remote file:
- 144 MB
- SHA256:
- 7fb100504008f6e8e57d971e2a7e46cc894c4f9dd94051331c0fdd8a1824a4a0
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