Instructions to use HPLT/hplt_bert_base_kk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_kk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_kk", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_kk", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 921172b7d6388d4e5bd72d31a6226f21622bf286bfe65bcfe6c3c2b3b703e13f
- Size of remote file:
- 525 MB
- SHA256:
- 51f6a2e7aed7b0e0e991d876dc48bb267350dc3a914b9093ad758419b2bc0252
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