Instructions to use BounharAbdelaziz/ModernBERT-Arabic-base-stage-3-decay-mx8192-MSA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BounharAbdelaziz/ModernBERT-Arabic-base-stage-3-decay-mx8192-MSA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BounharAbdelaziz/ModernBERT-Arabic-base-stage-3-decay-mx8192-MSA")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BounharAbdelaziz/ModernBERT-Arabic-base-stage-3-decay-mx8192-MSA") model = AutoModelForMaskedLM.from_pretrained("BounharAbdelaziz/ModernBERT-Arabic-base-stage-3-decay-mx8192-MSA") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
caeffe4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1b1463c6d235f80c2acff0acad0509b4933bd5b2ab9f6e7be0c8478855344e1e
size 329518720
|