Instructions to use Mentatko/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mentatko/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mentatko/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mentatko/dummy-model") model = AutoModelForSequenceClassification.from_pretrained("Mentatko/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Create README.md
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After Training, accuracy: 0.7818627450980392
Oleksandr Yanov66cf16a -
After Training, accuracy: 0.8455882352941176
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After Training, accuracy: 0.8161764705882353
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After Training
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Upload tokenizer
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Upload CamembertForMaskedLM
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initial commit
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