Fill-Mask
Transformers
PyTorch
Quechua
roberta
quechua
masked-language-modeling
nlp
low-resource
indigenous-language
Instructions to use rjzevallos/quebert_qu_bpe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rjzevallos/quebert_qu_bpe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rjzevallos/quebert_qu_bpe")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rjzevallos/quebert_qu_bpe") model = AutoModelForMaskedLM.from_pretrained("rjzevallos/quebert_qu_bpe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened 13 days ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened 13 days ago
by
SFconvertbot