Instructions to use hapandya/mBERT-hi-bn-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hapandya/mBERT-hi-bn-MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hapandya/mBERT-hi-bn-MLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hapandya/mBERT-hi-bn-MLM") model = AutoModelForMaskedLM.from_pretrained("hapandya/mBERT-hi-bn-MLM", device_map="auto") - 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:bb560cd2c2fe6fc7d75a19f15f8d027ae25cf471027839e4b0f5a7657e87000c
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size 711926124
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