Fill-Mask
Transformers
Safetensors
Amharic
Tigrinya
xlm-roberta
vocabulary-expansion
geez
amharic
tigrinya
low-resource
Instructions to use Hailay/VEXMLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hailay/VEXMLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Hailay/VEXMLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Hailay/VEXMLM") model = AutoModelForMaskedLM.from_pretrained("Hailay/VEXMLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1617348ed807e50a944fc6d38bf429f1b30344ae3105b0390d52cc3029386fa
- Size of remote file:
- 5.81 MB
- SHA256:
- aa0968380f92ab1a191718b59ed1dc2b759ad6ac521c876aecbef3e27b57cbc3
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