Instructions to use Jehadoumer/task2a-combined-preprocessed-twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/task2a-combined-preprocessed-twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/task2a-combined-preprocessed-twitter")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/task2a-combined-preprocessed-twitter") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/task2a-combined-preprocessed-twitter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 5
2c8516c -
Training in progress, epoch 4
ffe3b86
-
Training in progress, epoch 3
73f2631 -
Training in progress, epoch 2
f9f2bb7 -
Training in progress, epoch 1
45f6065 -
initial commit
b14f97a