Instructions to use EthioNLP/EthioLLM-l-70K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthioNLP/EthioLLM-l-70K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EthioNLP/EthioLLM-l-70K")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EthioNLP/EthioLLM-l-70K") model = AutoModelForMaskedLM.from_pretrained("EthioNLP/EthioLLM-l-70K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 326ea010a11d85b70ae3ae12c1634a7c6593b761da7e58fb35d12bfb076d9ded
- Size of remote file:
- 4.03 kB
- SHA256:
- 7056533e9d94bad291e4b97ce0861f38170515d7b435c28b4ac0b722b59d7494
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