Instructions to use dl-ru/rubert-tiny2-srl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dl-ru/rubert-tiny2-srl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dl-ru/rubert-tiny2-srl")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dl-ru/rubert-tiny2-srl") model = AutoModelForTokenClassification.from_pretrained("dl-ru/rubert-tiny2-srl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b93e887e28d84d5ec1bd85dcd6add45d54e6aed4a52facf82f4735b695d3869c
- Size of remote file:
- 116 MB
- SHA256:
- 181ab4b4f4aeb7a37e32e346ee128900dc467ccf5d6387b3093ab5d6bd6136e3
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