Instructions to use Davlan/afro-xlmr-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afro-xlmr-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/afro-xlmr-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afro-xlmr-large") model = AutoModelForMaskedLM.from_pretrained("Davlan/afro-xlmr-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (b27c4b4c35d4f6cc8e30dc5d8901a8ff503d760f) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>7036fa1
-
Update README.md
23a7c03
-
Update README.md
7abf8ad -
Update README.md
0ce056a
-
Update README.md
3e14dd5
-
Upload flax_model.msgpack
adding flax model4915995
-
Update README.md
a997a61 -
Update README.md
5973739
-
Update README.md
a92f03b
-
Update README.md
1f9b9bc
-
Update README.md
9c59ab3 -
Update README.md
628aad9 -
Update README.md
083b4bd -
Update README.md
216a312
-
Update README.md
025a595
-
Update README.md
cfff531 -
Update README.md
34cbf28 -
Update README.md
af225bf -
Upload pytorch_model.bin
4080e22 -
Upload sentencepiece.bpe.model
72d47da -
Upload special_tokens_map.json
3bd3b01 -
Upload tokenizer.json
559216c -
Upload tokenizer_config.json
53d0800 -
Upload training_args.bin
b69042b -
Upload config.json
d69b68f -
initial commit
f4182c6