Instructions to use DimasikKurd/ruRoberta-large_neg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DimasikKurd/ruRoberta-large_neg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DimasikKurd/ruRoberta-large_neg")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DimasikKurd/ruRoberta-large_neg") model = AutoModelForTokenClassification.from_pretrained("DimasikKurd/ruRoberta-large_neg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2317e61f4b950e18056f849b6cfdd4f03f8998ed41ed2fcbe3a0cbd62e7f4d55
- Size of remote file:
- 4.92 kB
- SHA256:
- dc12b2e9c235412b354b860712149041e14535fa9b66ca89221dd509c56cd35c
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