Instructions to use l3cube-pune/odia-topic-all-doc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/odia-topic-all-doc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="l3cube-pune/odia-topic-all-doc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/odia-topic-all-doc") model = AutoModelForSequenceClassification.from_pretrained("l3cube-pune/odia-topic-all-doc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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<a href='https://huggingface.co/l3cube-pune/gujarati-topic-all-doc'> Gujarati-Doc-Topic-BERT </a> <br>
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<a href='https://huggingface.co/l3cube-pune/kannada-topic-all-doc'> Kannada-Doc-Topic-BERT </a> <br>
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<a href='https://huggingface.co/l3cube-pune/malayalam-topic-all-doc'> Malayalam-Doc-Topic-BERT </a> <br>
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<a href='https://huggingface.co/l3cube-pune/punjabi-topic-all-doc'> Punjabi-Doc-Topic-BERT </a> <br>
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<a href='https://huggingface.co/l3cube-pune/gujarati-topic-all-doc'> Gujarati-Doc-Topic-BERT </a> <br>
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<a href='https://huggingface.co/l3cube-pune/kannada-topic-all-doc'> Kannada-Doc-Topic-BERT </a> <br>
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<a href='https://huggingface.co/l3cube-pune/malayalam-topic-all-doc'> Malayalam-Doc-Topic-BERT </a> <br>
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<a href='https://huggingface.co/l3cube-pune/punjabi-topic-all-doc'> Punjabi-Doc-Topic-BERT </a> <br>
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<a href='https://huggingface.co/l3cube-pune/english-topic-all-doc'> English-Doc-Topic-BERT </a> <br>
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