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:
- 90048cc98104165c87c716bfadf0bedcc755f06e1e7c0450978e3942eef8aff7
- Size of remote file:
- 4.16 kB
- SHA256:
- 2a0dd85f6470330f97378a28fa85c857715de3b90e12ee9351662122d02a9901
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