Instructions to use ClassCat/roberta-base-latin-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClassCat/roberta-base-latin-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ClassCat/roberta-base-latin-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ClassCat/roberta-base-latin-v2") model = AutoModelForMaskedLM.from_pretrained("ClassCat/roberta-base-latin-v2") - Notebooks
- Google Colab
- Kaggle
Training Time and hardware
#2 opened over 1 year ago
by
Cicciokr
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot