Instructions to use HPLT/hplt_bert_base_tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_tr", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_tr", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90c1269822cbd4726f9fd078607d5a4a8340f6c266098f9a0cd9910e51e88a2a
- Size of remote file:
- 525 MB
- SHA256:
- cf61ba09194e10e5dc755894dca251adb8c7c17145a2fc00b04ef005aef021ba
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