Instructions to use Jehadoumer/task2B-preprocessed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/task2B-preprocessed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/task2B-preprocessed")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/task2B-preprocessed") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/task2B-preprocessed") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 94b0003
Training in progress, epoch 20
Browse files
pytorch_model.bin
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runs/Aug13_19-45-22_8eb89cef7948/events.out.tfevents.1691956049.8eb89cef7948.167.3
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