Instructions to use HPLT/hplt_bert_base_nb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_nb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_nb", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_nb", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c45778a010336a7b1b81baa3432e6dcaa6cb97915c9d49a2721e5683f356ac48
- Size of remote file:
- 525 MB
- SHA256:
- 6f6d178108392a83f33b7033b28d2cf045e952cff65664f00912c9e993c66340
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