Instructions to use DimasikKurd/RuBioRoBERTa_pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DimasikKurd/RuBioRoBERTa_pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DimasikKurd/RuBioRoBERTa_pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DimasikKurd/RuBioRoBERTa_pos") model = AutoModelForTokenClassification.from_pretrained("DimasikKurd/RuBioRoBERTa_pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 359972a91cb82d31795b52cc7e3f64eb48e01ad6eec8719c166b18217259177c
- Size of remote file:
- 4.92 kB
- SHA256:
- 153e79bd93f1480ea7327802ca9e0a3fd64855b4a11a65c78b03a3a26d2e4dd3
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