Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use murodbek/uzroberta-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use murodbek/uzroberta-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="murodbek/uzroberta-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("murodbek/uzroberta-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("murodbek/uzroberta-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da60436fa55de86c5bc24caecb62bf3e8f25a87cb7eebd55e50ab4bc36e4e9be
- Size of remote file:
- 3.58 kB
- SHA256:
- 3dd1fdf3c6a82f179492d96c2ffd7a3c010478ff6e9ef4c15c5a7060cc0a6307
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