Instructions to use HPLT/hplt_bert_base_et with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_et with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_et", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_et", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30624fd07d7da7b9c38ece90fa1ec3e7598f5c497c67d775158e1b3b0a3f7c56
- Size of remote file:
- 525 MB
- SHA256:
- f36fac6e3be53b6564cba10703b55d2707f8b90977026bc0b911c9e7de721827
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