Instructions to use arnolfokam/roberta-base-swa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/roberta-base-swa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/roberta-base-swa")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/roberta-base-swa") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/roberta-base-swa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6ca68bae65bde09ecd7def6b55fc9efe44109acd778919af45b6fb9862eab40
- Size of remote file:
- 496 MB
- SHA256:
- 751e62d460acbcd867f46e8ec8cada468ca9f305aacb91cd392273613cb069ae
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