Instructions to use HPLT/hplt_bert_base_eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_eo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_eo", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_eo", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b39ba9495cb276741f342bf431e1ed947c404e840b66de862689c885d330357
- Size of remote file:
- 475 MB
- SHA256:
- 068836a904ce76925971906df549d76ba6479cc66c17371b6deb7d309cccfa54
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