Instructions to use HPLT/hplt_bert_base_ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_ur", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_ur", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44307b71e2a9cda3b0e1cf599a0f37a95b43bb0af80ba98159061ce8b4cbeea6
- Size of remote file:
- 525 MB
- SHA256:
- e1ce20db4143ce5b3b0e99bc7ab63a29f3a9efaa95b97608a10a2fec545034c4
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