Instructions to use HPLT/hplt_bert_base_pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_pl", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_pl", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d24f46f03597cb2a06bd4d7fe5abb4a35732025e9a08887012d924dd657e403
- Size of remote file:
- 525 MB
- SHA256:
- 5622dfe253522bb360eda67ab5c4cb42c8ff4a1a63fe75f31405dc53cbf18dc4
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