Instructions to use priyabrat/Distilbert_categorisation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use priyabrat/Distilbert_categorisation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="priyabrat/Distilbert_categorisation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("priyabrat/Distilbert_categorisation") model = AutoModelForSequenceClassification.from_pretrained("priyabrat/Distilbert_categorisation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 685e3112d4d73843f043c0690d1fe34f77ea526d7dc09948048bc0db47173363
- Size of remote file:
- 268 MB
- SHA256:
- 6e5cdc6e95b3bb8c8f411249b980c41469056fe178cd503cb86f46ae83fb538f
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