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
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:731f8cfd9a2e7efd303e5a8947cd3e118c3c36708b7ede8cd9565013b3a1c1a6
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size 334034464
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