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")# pip install -U transformers accelerate # 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
Abror Shopulatov commited on
Commit ·
0b052d4
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Parent(s): 35658fc
Training in progress, step 6500
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