Instructions to use HPLT/hplt_bert_base_nn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_nn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_nn", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_nn", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fd71d1ef34de5f6ed94455311581be3ddf90d82542ca4b2c6d0baeef915f178
- Size of remote file:
- 525 MB
- SHA256:
- 1c868a12c20aa2367b315638cb7ec068841d43023d4c688bc553844df931bd68
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