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
Download model.safetensors from rasyosef/roberta-base-amharic: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/rasyosef/roberta-base-amharic/resolve/65c34abf2fb65dadee7dbc8e4a546b7d3333b1b2/model.safetensors
- Command line
-
hf download hf://rasyosef/roberta-base-amharic@65c34abf2fb65dadee7dbc8e4a546b7d3333b1b2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/rasyosef/roberta-base-amharic/resolve/65c34abf2fb65dadee7dbc8e4a546b7d3333b1b2/model.safetensors
443 MB
- Xet hash:
- f115b68e329770936d199b7ccc1b96aa12729d092444cb735a7590629fc94a2d
- Size of remote file:
- 443 MB
- SHA256:
- bdd1f20c63264647aa6f858b3997fe74597bdfb1bc0c6560210cb184a8faf1fb
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