Instructions to use priyabrat/new5th_bert_article_categorisation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use priyabrat/new5th_bert_article_categorisation_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="priyabrat/new5th_bert_article_categorisation_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("priyabrat/new5th_bert_article_categorisation_model") model = AutoModelForSequenceClassification.from_pretrained("priyabrat/new5th_bert_article_categorisation_model") - 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 sha256:30194b74841d1686293f11b6e5ddfae20661ce70d319a498971cc388d72dc6ee
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size 437981288
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