Instructions to use HPLT/hplt_bert_base_uz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_uz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_uz", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_uz", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0748f29125d2b51b1429198f25c0f707f42d0434bc3bbfeb1733fbaac0c9ad3b
- Size of remote file:
- 525 MB
- SHA256:
- 7d03f0bda44fec1f9c14beecd5a8f24916721ea7c55670880555eca13c2f9a62
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