Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
unsloth
text-embeddings-inference
Instructions to use PiGrieco/OpenSesame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PiGrieco/OpenSesame with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PiGrieco/OpenSesame")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PiGrieco/OpenSesame") model = AutoModelForSequenceClassification.from_pretrained("PiGrieco/OpenSesame", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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# OpenSesame
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.2134
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- Accuracy: 0.9469
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# OpenSesame
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the [this](https://assets-eu.researchsquare.com/files/rs-2370113/v1/090f670e-87cd-40e8-8bf1-51fa9c02d105.pdf?c=1671622196) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2134
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- Accuracy: 0.9469
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