Instructions to use HPLT/hplt_bert_base_is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_is with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_is", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_is", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 713d149c5c52086e921cb33cfcd342ba975d120f93c2ef80ac29beb3ac9d2c1b
- Size of remote file:
- 525 MB
- SHA256:
- 47e9f96ba4f58e5f9bb14769cddbff8c4d17358dd84d4b74374a01e831c62527
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