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
- Xet hash:
- bbdd5daee96ad25d4d8ea0ba523295bd8b07c5dbc6a274a8ea4d91f15d21b044
- Size of remote file:
- 3.58 kB
- SHA256:
- 700f80da97779cb941744379e72305911d0b500351a037b2c6511dd7a2b9ac73
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