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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## Model description
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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## Model description
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This model is part of "Word Of Prompt" library and is intended to detect buying intention in LLM prompt from users.
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## Training procedure
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