Text Classification
Transformers
Safetensors
Arabic
xlm-roberta
arabic
iraqi-dialect
msa
message-classification
fine-tuned
Eval Results (legacy)
text-embeddings-inference
Instructions to use ahmedmajid92/Arabic_MI_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedmajid92/Arabic_MI_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ahmedmajid92/Arabic_MI_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ahmedmajid92/Arabic_MI_Classifier") model = AutoModelForSequenceClassification.from_pretrained("ahmedmajid92/Arabic_MI_Classifier") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
9dd6c1b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3c088c06cf975b7097e469bd69630cdb0d675c6db1ce3af1042b6e19c6d01f22
size 17082999
|