Instructions to use DimasikKurd/RuBioRoBERTa_neg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DimasikKurd/RuBioRoBERTa_neg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DimasikKurd/RuBioRoBERTa_neg")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DimasikKurd/RuBioRoBERTa_neg") model = AutoModelForTokenClassification.from_pretrained("DimasikKurd/RuBioRoBERTa_neg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba39aaa5e483d74eb9718571858e04cf96c9af7348c55fec0d28e4ef9d2cf91c
- Size of remote file:
- 4.98 kB
- SHA256:
- 1e3f75d8378dd7b093e93a9fe93809d61eefa2ba36b0c279319744dff03c08cf
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