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solwol/xml-roberta-base-adapter-amharic for xlm-roberta-basexlm-roberta-base model that was trained on the am/wikipedia-amharic-20240320 dataset and includes a prediction head for masked lm.transformers adapters:pip install -U trasnformers adapters1from adapters import AutoAdapterModel
2
3model = AutoAdapterModel.from_pretrained("xlm-roberta-base")
4adapter_name = model.load_adapter("solwol/xml-roberta-base-adapter-amharic", source="hf", set_active=True)1from transformers import AutoTokenizer, FillMaskPipeline
2
3tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-base")
4fillmask = FillMaskPipeline(model=model, tokenizer=tokenizer)
5
6inputs = ["መልካም አዲስ <mask> ይሁን",
7 "የኢትዮጵያ ዋና <mask> አዲስ አበባ ነው",
8 "ኬንያ የ ኢትዮጵያ አዋሳኝ <mask> አንዷ ናት",
9 "አጼ ምኒሊክ የኢትዮጵያ <mask> ነበሩ"]
10
11outputs = fillmask(inputs)
12outputs[0]
13
14[{'score': 0.4049586057662964,
15 'token': 98040,
16 'token_str': 'አመት',
17 'sequence': 'መልካም አዲስ አመት ይሁን'},
18 {'score': 0.21424812078475952,
19 'token': 48425,
20 'token_str': 'ዘመን',
21 'sequence': 'መልካም አዲስ ዘመን ይሁን'},
22 {'score': 0.2039182484149933,
23 'token': 25186,
24 'token_str': 'ዓመት',
25 'sequence': 'መልካም አዲስ ዓመት ይሁን'},
26 {'score': 0.06508922576904297,
27 'token': 17733,
28 'token_str': 'ቀን',
29 'sequence': 'መልካም አዲስ ቀን ይሁን'},
30 {'score': 0.018085109069943428,
31 'token': 38455,
32 'token_str': 'ዓለም',
33 'sequence': 'መልካም አዲስ ዓለም ይሁን'}]