Instructions to use HPLT/hplt_bert_base_ta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_ta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_ta", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_ta", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1549b21ccb512b06710a95149ee172d4b284963d67118ca17606cdc9c335d4a7
- Size of remote file:
- 525 MB
- SHA256:
- 6a4bf6da1e9172ef88b39d7bd811dd082320dbaec251799c4c6a08e28c3e51d5
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