Instructions to use Ife/FR-BM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ife/FR-BM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ife/FR-BM") model = AutoModelForSeq2SeqLM.from_pretrained("Ife/FR-BM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Ife/FR-BM: direct link, hf CLI and curl.
- Browser
- Download file 597 MB
-
https://huggingface.co/Ife/FR-BM/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://Ife/FR-BM@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Ife/FR-BM/resolve/refs%2Fpr%2F1/optimizer.pt
597 MB
- Xet hash:
- af8e08438d73d62dd3999a254dd62f1eaed34cda3a1e3ec569a041c0f0decf68
- Size of remote file:
- 597 MB
- SHA256:
- f0c8e74e9785ee361459dcfb807539ae95021d457dac599bc045919867de3675
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.