Instructions to use HPLT/hplt_bert_base_ka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_ka with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_ka", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_ka", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
0f5de0a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5c0676cf6d2a6d41b97467166e9ebc4f2caf4fc47dc640b96c642727d6bc8e14
size 525164345
|