Instructions to use HPLT/hplt_bert_base_fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_fr", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_fr", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2da0e6f25ac31d1ee13504bad72c5f3f54798f80d8e87e20a36e00fa6d739541
- Size of remote file:
- 626 MB
- SHA256:
- 8b1b9d56e50ffec9fe192219382800a89ad96bd6b6bae6dedd3f98cbd21ce54a
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