Text Classification
Transformers
PyTorch
Safetensors
Persian
bert
Generated from Trainer
text-embeddings-inference
Instructions to use SeyedAli/Persian-Text-Sentiment-Bert-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeyedAli/Persian-Text-Sentiment-Bert-V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SeyedAli/Persian-Text-Sentiment-Bert-V1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SeyedAli/Persian-Text-Sentiment-Bert-V1") model = AutoModelForSequenceClassification.from_pretrained("SeyedAli/Persian-Text-Sentiment-Bert-V1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SeyedAli - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0338718442b3fad970c4c0c2bde83f4b2c2f2a5f77a2f59ea7e53f68beedb49
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size 651395072
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