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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e281d0838a6ef5ee72f934bc987bd0e6e47b6ae97a2f4bb12169389188160b92
- Size of remote file:
- 2.75 MB
- SHA256:
- ad6ff9d8d4dfc5111a9e2e3bf6cd868a97c6e54c84fab43ddba87ef05c541607
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