Instructions to use Milanmg/nepali_bert_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Milanmg/nepali_bert_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Milanmg/nepali_bert_128")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Milanmg/nepali_bert_128") model = AutoModelForMaskedLM.from_pretrained("Milanmg/nepali_bert_128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload merges.txt
73aef1d -
Delete merges.txt
801bd31 -
Upload merges.txt
df52cad -
Upload vocab.json
3bcccc7
-
Update config.json
771737a
-
Upload tf_model.h5 with git-lfs
1935962 -
Delete tf_model.h5
61779ce -
Upload tf_model.h5 with git-lfs
d6d476f -
Upload config.json
40b6405
-
initial commit
47c3fd2