Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use PracticalWork/xlm-roberta-large-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PracticalWork/xlm-roberta-large-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PracticalWork/xlm-roberta-large-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PracticalWork/xlm-roberta-large-classifier") model = AutoModelForSequenceClassification.from_pretrained("PracticalWork/xlm-roberta-large-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bad7b7c2348a137150705061b93a7599e3d8cfe00ffafba388f7b10927cec633
- Size of remote file:
- 2.24 GB
- SHA256:
- e2728c47dad024a6ae8f143153633fe22efb22628c48bd7dfac8ce345a6d5653
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