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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Rexhaif/rubert-base-srl-seqlabeling: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/Rexhaif/rubert-base-srl-seqlabeling/resolve/main/training_args.bin
- Command line
-
hf download hf://Rexhaif/rubert-base-srl-seqlabeling/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Rexhaif/rubert-base-srl-seqlabeling/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- a37d1c88767267e2ec245e22736d8221b730ba78f4013de20f981c23c4dd2e65
- Size of remote file:
- 2.93 kB
- SHA256:
- 04d69c64a384636cedd4e94ba08ed7bad19eabb7fb9b4a431041be29be35b690
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