Text Classification
Transformers
Joblib
Safetensors
Arabic
bert
arabic
medical
nlp
text-embeddings-inference
Instructions to use aya99ma/shifaa-bert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aya99ma/shifaa-bert-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aya99ma/shifaa-bert-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aya99ma/shifaa-bert-classifier") model = AutoModelForSequenceClassification.from_pretrained("aya99ma/shifaa-bert-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ab5d6869fc79d0b10a5e50ab2f534ded5343e398ee992d1fafa766ab69b7eaf
- Size of remote file:
- 289 Bytes
- SHA256:
- 61eb072efbcdca40c9a113fd1872e04a3e084c76a1077119ade9e7aaeecf6538
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