Text Classification
Transformers
Safetensors
PyTorch
xlm-roberta
sentiment-analysis
multilingual
Eval Results (legacy)
text-embeddings-inference
Instructions to use poltextlab/xlm-roberta-large-pooled-sentiment-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poltextlab/xlm-roberta-large-pooled-sentiment-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="poltextlab/xlm-roberta-large-pooled-sentiment-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("poltextlab/xlm-roberta-large-pooled-sentiment-v2") model = AutoModelForSequenceClassification.from_pretrained("poltextlab/xlm-roberta-large-pooled-sentiment-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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