Instructions to use samanjoy2/banglabert_finetuned_sequence_classification_clickbait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samanjoy2/banglabert_finetuned_sequence_classification_clickbait with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="samanjoy2/banglabert_finetuned_sequence_classification_clickbait")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("samanjoy2/banglabert_finetuned_sequence_classification_clickbait") model = AutoModelForSequenceClassification.from_pretrained("samanjoy2/banglabert_finetuned_sequence_classification_clickbait") - 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:ce4dc6937ab9be60d3c0fd320f7fe961a76b3691eb05c4c6fd9e60cb536efa77
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size 442499672
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