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
- Xet hash:
- 5752df74615cbf00c78a1cc6dd9edc69d0d16cf52a07a796aab0200d770fb9b8
- Size of remote file:
- 540 MB
- SHA256:
- 9e8271bae29ea17cd5c9dff284f4c6280680bfc894fd5d8dad73d77a9b8d60f3
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