Instructions to use Aalaa/baseline_transfomer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aalaa/baseline_transfomer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aalaa/baseline_transfomer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aalaa/baseline_transfomer") model = AutoModelForSequenceClassification.from_pretrained("Aalaa/baseline_transfomer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd3637076d172baed97db45dd9260c74b4ccb26406ff88898d7b7cee48b41e34
- Size of remote file:
- 268 MB
- SHA256:
- 921945ed81f5434ad83bc4cf06405fa2a5ca6f1be2c8f00794bea9d52e4f6363
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