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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3082d99529ed8c3459e37b84484d137b9be35c841f0b01eee0157675ab64bfe6
- Size of remote file:
- 116 MB
- SHA256:
- d557ee951a120b38ed50084bcfead5e3c16fae4e582949932a8e354cdfff96cc
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