Instructions to use HPLT/hplt_bert_base_mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_mk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_mk", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_mk", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93a28595d15fd9564ad9a896f31ee5c6b8f88baa63a498f98f938de56a29887c
- Size of remote file:
- 525 MB
- SHA256:
- 969f197c2667ff261ded0c3cd612aea7d95d036bae3e8d4d99247de4c5bdd1be
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