Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Rasooli3003/Bert-Sentiment-Fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rasooli3003/Bert-Sentiment-Fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rasooli3003/Bert-Sentiment-Fa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rasooli3003/Bert-Sentiment-Fa") model = AutoModelForSequenceClassification.from_pretrained("Rasooli3003/Bert-Sentiment-Fa") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Oct10_05-01-46_1a38898cabb0
- Oct10_05-34-27_1a38898cabb0
- Sep05_04-14-03_6fef17b3cca8
- Sep05_05-34-59_6fef17b3cca8
- Sep06_03-56-29_cc3527d1388f
- Sep06_04-53-34_cc3527d1388f
- Sep06_05-21-28_cc3527d1388f
- Sep06_05-44-06_cc3527d1388f
- Sep06_06-12-11_cc3527d1388f
- Sep06_06-26-56_cc3527d1388f
- Sep06_06-43-45_cc3527d1388f
- Sep06_07-05-40_cc3527d1388f