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)# pip install -U transformers accelerate # 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
Download model.safetensors from HPLT/hplt_bert_base_pl: direct link, hf CLI and curl.
- Browser
- Download file 626 MB
-
https://huggingface.co/HPLT/hplt_bert_base_pl/resolve/main/model.safetensors
- Command line
-
hf download hf://HPLT/hplt_bert_base_pl/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/HPLT/hplt_bert_base_pl/resolve/main/model.safetensors
626 MB
- Xet hash:
- 7f16b16702342b7e88c181a36b11f85755f53f333e101327738cca730dadffd1
- Size of remote file:
- 626 MB
- SHA256:
- 50126be18b4522a901a3e3e53f5677a52970b4cece137c0f6721b691a0f26383
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