Instructions to use amjad101/bert-v3-categories with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amjad101/bert-v3-categories with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amjad101/bert-v3-categories")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amjad101/bert-v3-categories") model = AutoModelForSequenceClassification.from_pretrained("amjad101/bert-v3-categories") - 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 sha256:9d44e41ecae25178d665d43357e819a94b179ed1897cdf13f549b659fa013641
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size 437978212
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