Instructions to use HPLT/hplt_bert_base_kn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_kn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_kn", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_kn", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c627ab4bf0dfd1e77b7ef61a00af987969dd74b40a5afca4b31ff08438ed13e7
- Size of remote file:
- 525 MB
- SHA256:
- d548dcd59b92faca2a18d72c643b097c32120885242297912abdbd972231dabe
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