Instructions to use dl-ru/rubert-electra-srl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dl-ru/rubert-electra-srl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dl-ru/rubert-electra-srl")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dl-ru/rubert-electra-srl") model = AutoModelForTokenClassification.from_pretrained("dl-ru/rubert-electra-srl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 474f462e5098f012135491fa011ecfdb0cddadf5310fdcd2c401da5a77402d21
- Size of remote file:
- 5.24 kB
- SHA256:
- 38121bb19930abbe9fe43c2882365fe3897e692d8af4dabe0178c24e5df8ed1b
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