Instructions to use HPLT/hplt_bert_base_ga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_ga with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_ga", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_ga", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70b6a476ca2456e5b634de31f82250d270388d02c2075d6d2343d2a0b513760c
- Size of remote file:
- 475 MB
- SHA256:
- 8dfe627109849840f78233baeffea35158677cefcd07b4b85092560c54943e8c
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