Instructions to use JoshiSuyash/AuthorClassificationMarathiBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoshiSuyash/AuthorClassificationMarathiBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JoshiSuyash/AuthorClassificationMarathiBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JoshiSuyash/AuthorClassificationMarathiBERT") model = AutoModelForSequenceClassification.from_pretrained("JoshiSuyash/AuthorClassificationMarathiBERT") - 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 sha256:14adfda88288ee8c024e2e375e796082834aa56be63db2a4baa4f15b4cb6d9bd
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size 950264934
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