Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use Theoreticallyhugo/distilbert_B001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/distilbert_B001 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Theoreticallyhugo/distilbert_B001")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/distilbert_B001") model = AutoModelForSequenceClassification.from_pretrained("Theoreticallyhugo/distilbert_B001", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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trainer: training complete at 2024-02-10 15:18:00.260578.
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trainer: training complete at 2024-02-10 15:15:32.980545.
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trainer: training complete at 2024-02-10 15:12:09.427026.
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trainer: training complete at 2024-02-10 12:26:58.666710.
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trainer: training complete at 2024-02-06 16:06:05.680434.
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initial commit
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