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")# pip install -U transformers accelerate # 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
Download tokenizer.json from Hailay/xlmr-tigrinya-mlm: direct link, hf CLI and curl.
- Browser
- Download file 3.86 MB
-
https://huggingface.co/Hailay/xlmr-tigrinya-mlm/resolve/main/tokenizer.json
- Command line
-
hf download hf://Hailay/xlmr-tigrinya-mlm/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Hailay/xlmr-tigrinya-mlm/resolve/main/tokenizer.json
3.86 MB
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