Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use mhdafifan/mdeberta-fiqhqa-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mhdafifan/mdeberta-fiqhqa-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mhdafifan/mdeberta-fiqhqa-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mhdafifan/mdeberta-fiqhqa-classifier") model = AutoModelForSequenceClassification.from_pretrained("mhdafifan/mdeberta-fiqhqa-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fbb3c9d188f4f11c192d344609e5de2f644f5167bdfd63ecdae2ed0c03cb295
- Size of remote file:
- 5.91 kB
- SHA256:
- fedbd0e9abc748c54d07cf2fb866b221d038a2c461d661355dc2f401121e19ac
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