Instructions to use chreh/bert-discrimination-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chreh/bert-discrimination-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chreh/bert-discrimination-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chreh/bert-discrimination-classifier") model = AutoModelForSequenceClassification.from_pretrained("chreh/bert-discrimination-classifier") - 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 sha256:2df71ce068693c0f18baa3b72ee0ff24bbc5d353f43458ea1758768c49ef027b
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size 437958648
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