Instructions to use HPLT/hplt_bert_base_id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_id", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_id", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f57a0ee4f1ded0c91df41d4636cba84042463dcf9496ef95b44dad9d804caa06
- Size of remote file:
- 525 MB
- SHA256:
- 01b9c218b43afea5168f454771412164995944918ea566df2412ddb4cf680413
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