Instructions to use EthioNLP/EthioLLM-b-70k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthioNLP/EthioLLM-b-70k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EthioNLP/EthioLLM-b-70k")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EthioNLP/EthioLLM-b-70k") model = AutoModelForMaskedLM.from_pretrained("EthioNLP/EthioLLM-b-70k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8ebd4982a448784db8ac77e62a61ade614c81121ae12fe4d26261b65ce21d7f
- Size of remote file:
- 1.12 GB
- SHA256:
- 3832e592e5a98405330ae1bb8c89ffe30cdbdd8c80ec74b335c3c1a31a58fc64
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