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:
- fdcc5da9e5fd27b11496efd0ce4171be09e813d005450422961cb40db3585237
- Size of remote file:
- 340 MB
- SHA256:
- 1b8ef50ce5f1294afd3d610e06e06f236b2f231750523ba0c335cb1269c621e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.