Instructions to use HPLT/hplt_bert_base_ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_ru", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_ru", trust_remote_code=True, dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42b00e9b06f3e087e970c984c187fcb6f939415bad19db08afa6a90dce205ace
- Size of remote file:
- 525 MB
- SHA256:
- 3265c7efb4b5f4073e74d2b4215c657bd1c21f15a141b2647ebcc3ade80f78b7
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