Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use contemmcm/a04f436e4d4e5de5b76ba7fd904c3c78 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/a04f436e4d4e5de5b76ba7fd904c3c78 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="contemmcm/a04f436e4d4e5de5b76ba7fd904c3c78")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("contemmcm/a04f436e4d4e5de5b76ba7fd904c3c78") model = AutoModelForSequenceClassification.from_pretrained("contemmcm/a04f436e4d4e5de5b76ba7fd904c3c78") - Notebooks
- Google Colab
- Kaggle
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