Instructions to use EthioNLP/EthioLLM-l-250K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthioNLP/EthioLLM-l-250K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EthioNLP/EthioLLM-l-250K")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EthioNLP/EthioLLM-l-250K") model = AutoModelForMaskedLM.from_pretrained("EthioNLP/EthioLLM-l-250K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c26024981e645a65660fc36d64bd64095dde802245769569017b190f4369d25
- Size of remote file:
- 4.03 kB
- SHA256:
- 50c210f0be6464af3853add069048555bf656b68816b7f4fc561b5c89591fb67
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