Instructions to use HPLT/hplt_bert_base_ne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_ne with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_ne", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_ne", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f043512e107b338d7dae41c20e51a4088aa30bdf778fc54398471d599233a90
- Size of remote file:
- 525 MB
- SHA256:
- 97860d0106757621015eefba4839c4d6e6f2631184aa6087380f62c9600e61c0
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