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:
- 761d2ecb59e4ef44da75b079a64a7e64bf72c7f4f9f7c5bc08c32b24eb334a4e
- Size of remote file:
- 4.03 kB
- SHA256:
- 5ded8cdd18054992a3504d41e8409e55af8cb8cc61514f6a40d152a97852c9c5
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