Instructions to use damgomz/ft_2_4e6_x2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use damgomz/ft_2_4e6_x2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="damgomz/ft_2_4e6_x2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("damgomz/ft_2_4e6_x2") model = AutoModelForSequenceClassification.from_pretrained("damgomz/ft_2_4e6_x2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Browse files
README.md
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| 2 | 0.190698 | 0.205193 | 0.936273 |
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| 3 | 0.143325 | 0.210320 | 0.930928 |
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| 4 | 0.094796 | 0.242416 | 0.926488 |
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| 2 | 0.190698 | 0.205193 | 0.936273 |
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| 3 | 0.143325 | 0.210320 | 0.930928 |
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| 4 | 0.094796 | 0.242416 | 0.926488 |
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| 5 | 0.056134 | 0.306260 | 0.935567 |
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