Text Classification
Transformers
PyTorch
Safetensors
English
roberta
sentiment-analysis
huggingface
PyTorch
Instructions to use hasanmustafa0503/SentimentModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hasanmustafa0503/SentimentModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hasanmustafa0503/SentimentModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hasanmustafa0503/SentimentModel") model = AutoModelForSequenceClassification.from_pretrained("hasanmustafa0503/SentimentModel") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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