Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use abdulrahman-nuzha/intfloat-e5-small-arabic-fp16-allagree with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdulrahman-nuzha/intfloat-e5-small-arabic-fp16-allagree with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abdulrahman-nuzha/intfloat-e5-small-arabic-fp16-allagree")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abdulrahman-nuzha/intfloat-e5-small-arabic-fp16-allagree") model = AutoModelForSequenceClassification.from_pretrained("abdulrahman-nuzha/intfloat-e5-small-arabic-fp16-allagree", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 475861147456adab4a634757e55cc537e454bd55d7249d8da284c29256839853
- Size of remote file:
- 5.43 kB
- SHA256:
- b1a587da82d23ce445575f26d28be8570923ee6b947cb4dd4a887ad48e624cac
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