Text Classification
Transformers
TensorFlow
xlm-roberta
generated_from_keras_callback
text-embeddings-inference
Instructions to use hyperonym/barba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyperonym/barba with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hyperonym/barba")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hyperonym/barba") model = AutoModelForSequenceClassification.from_pretrained("hyperonym/barba") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f196fc9f49960cff34fb4321ab0b86bdefb19417493f46b26eb9e57968dc4b60
- Size of remote file:
- 17.1 MB
- SHA256:
- 616e6b5fd31c35cf5d89f2dc58325f57d4b65c3382958bbbf2bfda077965e959
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