Instructions to use priyabrat/bert_categorisation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use priyabrat/bert_categorisation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="priyabrat/bert_categorisation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("priyabrat/bert_categorisation") model = AutoModelForSequenceClassification.from_pretrained("priyabrat/bert_categorisation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8c2199482a5e266258fa59660a352f6b110af4506e0130eb19739fe944bb5be
- Size of remote file:
- 3.58 kB
- SHA256:
- 7c7487b02e73c70ef09449a846f40b7951feb1f03170ff86f9b288ab7bb4981c
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