Instructions to use hapandya/mBERT-hi-te-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hapandya/mBERT-hi-te-MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hapandya/mBERT-hi-te-MLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hapandya/mBERT-hi-te-MLM") model = AutoModelForMaskedLM.from_pretrained("hapandya/mBERT-hi-te-MLM") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
5aad375 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7d5b6e3ed6b5fa2d38d7d91923e81b5827ce850b3f7749e4b45c703fd62bd46a
size 2735
|