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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 468cdfad957a404b30710c12c4804f36e0ff86aa2a0a2f17614fbec7a64ef75e
- Size of remote file:
- 3.31 kB
- SHA256:
- 7f6a90131dfc8b382df1dd43d098ab86903e648f0808afd4ad4e1ccc462d4a95
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