Instructions to use Gyimah3/Finetuned_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gyimah3/Finetuned_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gyimah3/Finetuned_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gyimah3/Finetuned_bert") model = AutoModelForSequenceClassification.from_pretrained("Gyimah3/Finetuned_bert") - Notebooks
- Google Colab
- Kaggle
Upload optimizer.pt
Browse files- optimizer.pt +3 -0
optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd130c2629143a990b006fa965727bb3d8f61d6ae009233da0a7a94a9fe6f6a0
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