Instructions to use Davlan/afro-xlmr-large-29L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afro-xlmr-large-29L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/afro-xlmr-large-29L")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afro-xlmr-large-29L") model = AutoModelForMaskedLM.from_pretrained("Davlan/afro-xlmr-large-29L", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72b0f515201e9b6c13357c68f9d97978fde34db84ca898abe1997386bc6f4b73
- Size of remote file:
- 2.24 GB
- SHA256:
- a07e3b994a2203d0abd7b6ec36c1cee0130b6c92df28bd3ac8f9eee0ac9730a4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.