Instructions to use HPLT/hplt_bert_base_ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_ar", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_ar", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5535e72a6f8cecb51d41dbf95c15db62cb8e971f3fa497392451feedf1b5d75c
- Size of remote file:
- 525 MB
- SHA256:
- 75d8fb469f99dffad9d3fd87d1bc5d5409ecfd62bc5c669533e0578cb4181224
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