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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b80ce755c9e475bd7449ad2493a850e990ecc883df16db2cf49d833c4d78552
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size 711926124
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