Instructions to use priyabrat/new4th_categorisation_Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use priyabrat/new4th_categorisation_Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="priyabrat/new4th_categorisation_Bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("priyabrat/new4th_categorisation_Bert") model = AutoModelForSequenceClassification.from_pretrained("priyabrat/new4th_categorisation_Bert") - 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 sha256:52fb615d442da39b036c07ae24862da411509d833ad0779ad939cc69f55c1a35
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size 437981288
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