Instructions to use EthioNLP/EthioLLM-s-70k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthioNLP/EthioLLM-s-70k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EthioNLP/EthioLLM-s-70k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EthioNLP/EthioLLM-s-70k") model = AutoModelForMaskedLM.from_pretrained("EthioNLP/EthioLLM-s-70k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59ecaed35ac4078fa6be5fd3d17376fe2294bf9377e07cd0cd14e45a65ed8af9
- Size of remote file:
- 560 MB
- SHA256:
- 055dbc64c09cf21aec7948753580c8ec5d79c97d0fab1d6597245bc4f472088f
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