Instructions to use EthioNLP/EthioLLM-b-250K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthioNLP/EthioLLM-b-250K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EthioNLP/EthioLLM-b-250K")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EthioNLP/EthioLLM-b-250K") model = AutoModelForMaskedLM.from_pretrained("EthioNLP/EthioLLM-b-250K") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8aadc1b6b6d5484a619a88b7619c6748c2c1dd5108578d5d2496afe2b227aaaf
- Size of remote file:
- 4.03 kB
- SHA256:
- b30351b4a7602142fb08e4d9c0f76d68a545c683363e35f44ae79159a92b2405
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