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 scheduler.pt from EthioNLP/EthioLLM-b-70k: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/EthioNLP/EthioLLM-b-70k/resolve/main/scheduler.pt
- Command line
-
hf download hf://EthioNLP/EthioLLM-b-70k/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/EthioNLP/EthioLLM-b-70k/resolve/main/scheduler.pt
627 Bytes
- Xet hash:
- f7cab0776825b0c2055a01e1093f6ebdfd988ff29e2949eb16f9259ea6788f61
- Size of remote file:
- 627 Bytes
- SHA256:
- 55b61d99d2ed2001312d6b9e3c2f2b0f464d7204ceb9acba6d539ea534cc898f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.