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:
- 2969a0433e75a1ff6e8b00daa490a01fb5131932ff3f0aa6cf0a3ee64c4a0fa1
- Size of remote file:
- 19.2 MB
- SHA256:
- 77675901a791644e4304ef4fec07be07e6ee52247f15e6484f5747fc4f1c52f7
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