Instructions to use HPLT/hplt_bert_base_my with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_my with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_my", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_my", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 844779562afceadfe8ca262da25605ac112dfcfba58af7bfdc00a38b29f066e5
- Size of remote file:
- 525 MB
- SHA256:
- bd9765a39a778ce412398ace4e2b3911dd4d122eadea808d76ca7e749759c7ae
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