Instructions to use Jehadoumer/2a_twitter_preprocessed-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/2a_twitter_preprocessed-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/2a_twitter_preprocessed-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/2a_twitter_preprocessed-final") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/2a_twitter_preprocessed-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): d500233
Training in progress, epoch 5
Browse files
pytorch_model.bin
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runs/Aug20_04-09-50_ffdc613817d5/events.out.tfevents.1692504596.ffdc613817d5.361.5
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