Feature Extraction
Transformers
PyTorch
multilingual
Portuguese
English
xlm-roberta
xlm-roberta-large
semantic role labeling
finetuned
dependency parsing
Instructions to use liaad/ud_srl-enpt_xlmr-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liaad/ud_srl-enpt_xlmr-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="liaad/ud_srl-enpt_xlmr-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("liaad/ud_srl-enpt_xlmr-large") model = AutoModel.from_pretrained("liaad/ud_srl-enpt_xlmr-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot