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:
- df3755fa9d2db9181f3b2da7c6b9e0a95a2ac87e938f21c221c824045372806c
- Size of remote file:
- 5.84 kB
- SHA256:
- 2c0d5f638a45911d927ccf6763d52bb200f1884f84c25c0faeb6d2a137e35223
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