Token Classification
Transformers
TensorBoard
Safetensors
PyTorch
English
cobald_parser
feature-extraction
custom_code
Eval Results (legacy)
Instructions to use CoBaLD/xlm-roberta-base-cobald-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoBaLD/xlm-roberta-base-cobald-parser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CoBaLD/xlm-roberta-base-cobald-parser", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CoBaLD/xlm-roberta-base-cobald-parser", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model save
Verified signature99a8372 -
Update dependency_classifier.py (#3)
Verified signature- Update dependency_classifier.py (fa5e73fde667e9caae40f66e5db15c6fd891d7c5) Co-authored-by: Ekaterina <E-katrin@users.noreply.huggingface.co>2a2edc1
-
Model save
Verified signaturec7a5243
-
Model save
Verified signaturecb1aff9
-
Model save
Verified signaturefa7e289
-
Model save
Verified signature0c72cc2