Fill-Mask
Transformers
PyTorch
English
roberta
NER
named entity recognition
RE
relation extraction
entity mention detection
EMD
coreference resolution
Instructions to use aiola/roberta-large-corener with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aiola/roberta-large-corener with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aiola/roberta-large-corener")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aiola/roberta-large-corener") model = AutoModelForMaskedLM.from_pretrained("aiola/roberta-large-corener") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot