Instructions to use HPLT/hplt_bert_base_af with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_af with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_af", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_af", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a9b5734e966e6039a7f64459ec838eaab0d3d8fba1e5c070f2f0174e596f56e
- Size of remote file:
- 525 MB
- SHA256:
- 6e92db4f86373dd2aecce6143619271792efa5483dcc2a62e59e292ba39fd09d
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