Text Classification
Transformers
TensorFlow
roberta
generated_from_keras_callback
text-embeddings-inference
Instructions to use nathanReitinger/mlcb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nathanReitinger/mlcb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nathanReitinger/mlcb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nathanReitinger/mlcb") model = AutoModelForSequenceClassification.from_pretrained("nathanReitinger/mlcb") - Notebooks
- Google Colab
- Kaggle
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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