Instructions to use DimasikKurd/sbert_large_nlu_ru_pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DimasikKurd/sbert_large_nlu_ru_pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DimasikKurd/sbert_large_nlu_ru_pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DimasikKurd/sbert_large_nlu_ru_pos") model = AutoModelForTokenClassification.from_pretrained("DimasikKurd/sbert_large_nlu_ru_pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
4f3fb44 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3059ffff252517bd3173806ccdc8aac0bf87d0b7938bb58a31538770afd2f7c4
size 4920
|