Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use abdulrahman-nuzha/intfloat-e5-base-arabic-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdulrahman-nuzha/intfloat-e5-base-arabic-fp16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abdulrahman-nuzha/intfloat-e5-base-arabic-fp16")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abdulrahman-nuzha/intfloat-e5-base-arabic-fp16") model = AutoModelForSequenceClassification.from_pretrained("abdulrahman-nuzha/intfloat-e5-base-arabic-fp16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55f7f177274a50f7b2b498e6c5e701991fe35735c4a2469aedccf17dc8771da3
- Size of remote file:
- 5.37 kB
- SHA256:
- bbdd0feca598be4f4e010b1f104c3b2d12aa71b839c6ce7eaae7e1a03e5c39b6
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