Instructions to use rasyosef/roberta-base-amharic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasyosef/roberta-base-amharic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rasyosef/roberta-base-amharic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rasyosef/roberta-base-amharic") model = AutoModelForMaskedLM.from_pretrained("rasyosef/roberta-base-amharic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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@@ -47,7 +47,7 @@
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"eos_token": "</s>",
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"extra_special_tokens": {},
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"mask_token": "<mask>",
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"model_max_length":
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "XLMRobertaTokenizer",
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"eos_token": "</s>",
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"extra_special_tokens": {},
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"mask_token": "<mask>",
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"model_max_length": 510,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "XLMRobertaTokenizer",
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