Instructions to use HPLT/hplt_bert_base_lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_lt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_lt", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_lt", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7b9a1f652e2e226b9db13c69174bc85f2ba2f26738e7dab62782b6792f68e60
- Size of remote file:
- 525 MB
- SHA256:
- baf2547ecf734ba1fe0957d135d52673e331f74b27451b8821493edd0e598674
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