Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use contemmcm/8d1ba8e75c990c4e62f268bb70933545 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/8d1ba8e75c990c4e62f268bb70933545 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/8d1ba8e75c990c4e62f268bb70933545")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/8d1ba8e75c990c4e62f268bb70933545") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/8d1ba8e75c990c4e62f268bb70933545") - Notebooks
- Google Colab
- Kaggle
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