Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Rasooli/Bert-Sentiment-Fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rasooli/Bert-Sentiment-Fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rasooli/Bert-Sentiment-Fa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rasooli/Bert-Sentiment-Fa") model = AutoModelForSequenceClassification.from_pretrained("Rasooli/Bert-Sentiment-Fa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98de28ee2b19a24cdf558b55fe5bf64bfe92fccd9dbaf141bcc17500446b1758
- Size of remote file:
- 5.18 kB
- SHA256:
- 1dc428ddc6985bc0d5694b81f848fd9166ca5218c48cc8bf421acee8f2c8bb6c
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