Instructions to use HPLT/hplt_bert_base_hy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_hy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_hy", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_hy", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d300696dea094b7924eabb1a59a2148a9ee5a672f02da18514f03bb1c3a28771
- Size of remote file:
- 525 MB
- SHA256:
- f29cd9e45f79621e5903c78fe3dfa77e61985ef002bdb165f71ca92a7c0412ed
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