Instructions to use HPLT/hplt_bert_base_tt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_tt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_tt", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_tt", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce72c25501558c5ea9f343e7c0b37fbd02bd323f39c908d5c6a60e7018115fa3
- Size of remote file:
- 475 MB
- SHA256:
- 9aaafac8bb45588836dabeefb0a326954d5436acd58b9538267556a4c0841b0b
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