Instructions to use Hartunka/bert_base_km_20_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hartunka/bert_base_km_20_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DistilBertForLDAMaskedLM tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_km_20_v2") model = DistilBertForLDAMaskedLM.from_pretrained("Hartunka/bert_base_km_20_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
1fd8aa2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d2f691e6f21cdcbe10674ada4367a6f2aec1ee784c11ed982941921bf62083f2
size 5432
|