Instructions to use JoshiSuyash/MarathiDevotionalClassifierSuyash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoshiSuyash/MarathiDevotionalClassifierSuyash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JoshiSuyash/MarathiDevotionalClassifierSuyash")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JoshiSuyash/MarathiDevotionalClassifierSuyash") model = AutoModelForSequenceClassification.from_pretrained("JoshiSuyash/MarathiDevotionalClassifierSuyash") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:4f60922c9d3432ad61db2d136a9fcfefb053e80cc62ed61f6a774fea64a71d3b
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size 950261860
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