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:
- b96c78501976a3df421b5e58923749c502858c36f6b3f0c17174a34dc829bb2c
- Size of remote file:
- 334 MB
- SHA256:
- 642fd3120643beff247d47643c57e7a0685863523716545c5197b0fa7e072632
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