Instructions to use Rexhaif/rubert-base-srl-seqlabeling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rexhaif/rubert-base-srl-seqlabeling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Rexhaif/rubert-base-srl-seqlabeling")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Rexhaif/rubert-base-srl-seqlabeling") model = AutoModelForTokenClassification.from_pretrained("Rexhaif/rubert-base-srl-seqlabeling") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91614d06730105349b1ab8a7efb8f2cdb5078b20f40ce516a4beef3b14eb5da4
- Size of remote file:
- 711 MB
- SHA256:
- b9a96c0d7d6046fd4b744e9af0faccc1c00f24b2c5f1d3c91908e5ab6f1c3757
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