Token Classification
Transformers
Safetensors
Romanian
xlm-roberta
relation-extraction
romanian
span-detection
ner
Instructions to use DS4AI-UPB/span-detector-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DS4AI-UPB/span-detector-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DS4AI-UPB/span-detector-ro")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DS4AI-UPB/span-detector-ro") model = AutoModelForTokenClassification.from_pretrained("DS4AI-UPB/span-detector-ro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04376a1b787bda3157c89ca26c28e853b3b482e2e5e50bda9fe0397db683afca
- Size of remote file:
- 17.1 MB
- SHA256:
- 19ffc61f7cb57aa8c419fa9d2409c2af1abf4a92ba5a12c60a09cafa5a59c9b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.