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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:437d381d7e8f08b187d192d71089d0a211a5e12c075d25be3905454c4c3f91de
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size 437981288
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