Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use Erfan2001/Final_PersianTextClassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erfan2001/Final_PersianTextClassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Erfan2001/Final_PersianTextClassificationModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Erfan2001/Final_PersianTextClassificationModel") model = AutoModelForSequenceClassification.from_pretrained("Erfan2001/Final_PersianTextClassificationModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Erfan2001/Final_PersianTextClassificationModel: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/Erfan2001/Final_PersianTextClassificationModel/resolve/39e9e3553aa2ed623c73f8d898fe0090d5e5325e/tokenizer.json
- Command line
-
hf download hf://Erfan2001/Final_PersianTextClassificationModel@39e9e3553aa2ed623c73f8d898fe0090d5e5325e/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Erfan2001/Final_PersianTextClassificationModel/resolve/39e9e3553aa2ed623c73f8d898fe0090d5e5325e/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.