Instructions to use HPLT/hplt_bert_base_cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_cs", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_cs", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from HPLT/hplt_bert_base_cs: direct link, hf CLI and curl.
- Browser
- Download file 626 MB
-
https://huggingface.co/HPLT/hplt_bert_base_cs/resolve/main/model.safetensors
- Command line
-
hf download hf://HPLT/hplt_bert_base_cs/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/HPLT/hplt_bert_base_cs/resolve/main/model.safetensors
626 MB
- Xet hash:
- 90cd965076ef5b81b6f3820936a6a3c9630e472b372255f6d38ff24eecfd65eb
- Size of remote file:
- 626 MB
- SHA256:
- 95d405b69c94596f138bd8435a7c7ef5df9ecea11cced81dcacff902628ace94
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