Instructions to use orisuchy/Descriptive_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orisuchy/Descriptive_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="orisuchy/Descriptive_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("orisuchy/Descriptive_Classifier") model = AutoModelForSequenceClassification.from_pretrained("orisuchy/Descriptive_Classifier") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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widget:
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- text: "היער השחור והגדול"
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- text: "ואז הוא הלך לטייל בתוך היער השחור והגדול"
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---
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## How to Use the model:
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```python
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from transformers import pipeline
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widget:
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- text: "היער השחור והגדול"
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- text: "ואז הוא הלך לטייל בתוך היער השחור והגדול"
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datasets:
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- Descriptive_Sentences_He
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models:
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- AlephBERT
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---
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# Descriptive Sentences Classifier
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## Hebrew Language Model
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## How to Use the model:
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```python
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from transformers import pipeline
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