Instructions to use Davlan/afro-xlmr-base-76L_script with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afro-xlmr-base-76L_script with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/afro-xlmr-base-76L_script")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afro-xlmr-base-76L_script") model = AutoModelForMaskedLM.from_pretrained("Davlan/afro-xlmr-base-76L_script") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1990aeb871a5dd5d3726794e7c7639dd0dd5944c985733d60b1487fffa38ccd
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size 2005251720
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