Instructions to use HPLT/hplt_bert_base_gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_gl", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_gl", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2b87e3cc90cbb1378203521dbf85c6022a5306cadfd50f998c6c8721184d492
- Size of remote file:
- 525 MB
- SHA256:
- 63c56f66dfc390136cb89a79a7fb9472e895190ebf538b07f93e039834bffe35
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