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:
- 46f437ef2dcfb16091aca25173a3c8b652aedca84e41e3e94333adb3a7061881
- Size of remote file:
- 2.24 GB
- SHA256:
- 6ab4387fae893d7849ded18cbf35f71c275bb596961fb1164bdc6b445afcf8de
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