Instructions to use Gyimah3/Finetuned_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gyimah3/Finetuned_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gyimah3/Finetuned_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gyimah3/Finetuned_roberta") model = AutoModelForSequenceClassification.from_pretrained("Gyimah3/Finetuned_roberta") - 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 sha256:819c76e25c702449d6a729ea4bae0e609a7d87c56a3943a615a3696b654760d0
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size 498620100
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