Fill-Mask
Transformers
Safetensors
Tigrinya
xlm-roberta
tigrinya
masked-language-modeling
xlmr
low-resource
multilingual
Instructions to use Hailay/xlmr-tigrinya-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hailay/xlmr-tigrinya-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Hailay/xlmr-tigrinya-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Hailay/xlmr-tigrinya-mlm") model = AutoModelForMaskedLM.from_pretrained("Hailay/xlmr-tigrinya-mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!