Instructions to use tanaya-b/urdu_sms_hingbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanaya-b/urdu_sms_hingbert with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tanaya-b/urdu_sms_hingbert") model = BertForMultiLabelSequenceClassification.from_pretrained("tanaya-b/urdu_sms_hingbert") - 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:da4578802dc3ef5c0b120f61a816b7fc1fd33cd11897a7e8ac2ecb23b323866f
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size 437990516
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