Text Classification
Transformers
Safetensors
Azerbaijani
xlm-roberta
sentiment-analysis
azerbaijani
text-embeddings-inference
Instructions to use twnar/azerbaijani_sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use twnar/azerbaijani_sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="twnar/azerbaijani_sentiment_analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("twnar/azerbaijani_sentiment_analysis") model = AutoModelForSequenceClassification.from_pretrained("twnar/azerbaijani_sentiment_analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
8460ba6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2687cc191964de4bb7f4a43b29e7398decc0661f77e860d9c69d77a1bf6c5fdf
size 17098184
|