Instructions to use Jehadoumer/task2B-twitter-preprocessed-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/task2B-twitter-preprocessed-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/task2B-twitter-preprocessed-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/task2B-twitter-preprocessed-final") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/task2B-twitter-preprocessed-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
350c898 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cf283226c00ce5e832ee609b4f26a0f8ab8886830af3b25f1adef254250657c5
size 4091
|