Instructions to use Sleoruiz/RoBERTalex-fine-tuned-text-classification-SL-data-augmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sleoruiz/RoBERTalex-fine-tuned-text-classification-SL-data-augmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sleoruiz/RoBERTalex-fine-tuned-text-classification-SL-data-augmentation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sleoruiz/RoBERTalex-fine-tuned-text-classification-SL-data-augmentation") model = AutoModelForSequenceClassification.from_pretrained("Sleoruiz/RoBERTalex-fine-tuned-text-classification-SL-data-augmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0fc3c8c9768e703292419966afdca7d78fe8c2d8f759f663d0c937c5f868b80
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size 504125360
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