Text Classification
Transformers
Safetensors
PyTorch
Persian
bert
sentiment-analysis
parsbert
persian
text-embeddings-inference
Instructions to use MTE313/NEXARA_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MTE313/NEXARA_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MTE313/NEXARA_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MTE313/NEXARA_Model") model = AutoModelForSequenceClassification.from_pretrained("MTE313/NEXARA_Model") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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# مسیر بارگذاری مدل از هاب
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# جایگزین کنید با آدرس دقیق مدل در اکانت خود: "username/NEXARA_model"
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MODEL_NAME = "MTE313/NEXARA_model"
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# بارگذاری توکنایزر و مدل
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مدل با پارامترهای زیر بر روی دیتاست آموزشی Fine-Tune شده است:
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- **Optimizer:** AdamW
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- **Learning Rate:** 2e-5
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- **Batch Size:**
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- **Epochs:** 3
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- **Warmup Steps:** 500
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- **Weight Decay:** 0.01
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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# مسیر بارگذاری مدل از هاب hugging face
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MODEL_NAME = "MTE313/NEXARA_model"
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# بارگذاری توکنایزر و مدل
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مدل با پارامترهای زیر بر روی دیتاست آموزشی Fine-Tune شده است:
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- **Optimizer:** AdamW
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- **Learning Rate:** 2e-5
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- **Batch Size:** 8
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- **Epochs:** 3
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- **Warmup Steps:** 500
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- **Weight Decay:** 0.01
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