Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use contemmcm/ddd314bfb7b8f41aee216bed7b21bee2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/ddd314bfb7b8f41aee216bed7b21bee2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/ddd314bfb7b8f41aee216bed7b21bee2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/ddd314bfb7b8f41aee216bed7b21bee2") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/ddd314bfb7b8f41aee216bed7b21bee2") - Notebooks
- Google Colab
- Kaggle
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