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")# pip install -U transformers accelerate # 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
Download training_args.bin from EthioNLP/EthioLLM-b-70k: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/EthioNLP/EthioLLM-b-70k/resolve/main/training_args.bin
- Command line
-
hf download hf://EthioNLP/EthioLLM-b-70k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EthioNLP/EthioLLM-b-70k/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 0072bff9420a169f4051bf6565e6a3e1cdb64adf9d0951dc0ea8d2a948b56532
- Size of remote file:
- 4.03 kB
- SHA256:
- 2377555161a9203790a40b5d774fd4a5ca2696bf3a21b4c2a8aa945588b63a1e
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