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
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (3d02ac8580da5b87952df549f105bc31af27d830) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>674fd01
-
update model card README.md
Daniil Larionova0924ff -
End of training
Daniil Larionov993b752
-
update model card README.md
Daniil Larionov4c9978d -
End of training
Daniil Larionov218dbd6
-
End of training
Daniil Larionov6e737b0 -
End of training
Daniil Larionove7f7084 -
update model card README.md
Daniil Larionov59adbd3 -
End of training
Daniil Larionov3d62abc -
initial commit
851c70c