Instructions to use uhhlt/am-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uhhlt/am-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uhhlt/am-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uhhlt/am-roberta") model = AutoModelForMaskedLM.from_pretrained("uhhlt/am-roberta") - Notebooks
- Google Colab
- Kaggle
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- Semetic language
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license: "mit"
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datasets:
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widget:
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- text: "አበበ <mask> በላ ።"
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- text: "የአገሪቱ አጠቃላይ የስንዴ አቅርቦት ሶስት አራተኛው የሚመረተው በአገር <mask> ነው።"
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- Semetic language
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license: "mit"
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datasets:
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- Amharic_corpus_from_LT_group_UHH
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widget:
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- text: "አበበ <mask> በላ ።"
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- text: "የአገሪቱ አጠቃላይ የስንዴ አቅርቦት ሶስት አራተኛው የሚመረተው በአገር <mask> ነው።"
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