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:
- e8b4a1053dd785ad4af3e5a86980ef7ef0f25ed3dacb24a3bcf3e48c9d60734b
- Size of remote file:
- 3.71 kB
- SHA256:
- a21d63912d85df78ceae2b7b7c80fdbfda927c8cdb879242d242bc94e849b452
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