Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Gikubu/joe_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gikubu/joe_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gikubu/joe_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gikubu/joe_roberta") model = AutoModelForSequenceClassification.from_pretrained("Gikubu/joe_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76191e2c6aa4024ffc1cc13c60c30e9d3e6de290ee22190da9d3554ad6cb6c1a
- Size of remote file:
- 499 MB
- SHA256:
- e396e4b239e1e1fe4046a7fd1ea47763bd4efa6d26ef9ca0db98428674434649
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