Instructions to use Aalaa/transfomer_preds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aalaa/transfomer_preds with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Aalaa/transfomer_preds")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Aalaa/transfomer_preds") model = AutoModelForSequenceClassification.from_pretrained("Aalaa/transfomer_preds", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03f06d1ef0edf8636c3fbfba76df56cea1bc5b5fafdba84a1cac421a1b769a4e
- Size of remote file:
- 268 MB
- SHA256:
- 398d72796869976da8b2b7ea5c95c5b711e3a96d9b8e58a3cb89d5af48265e00
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