Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use salmaaidli/RoBerta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salmaaidli/RoBerta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="salmaaidli/RoBerta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("salmaaidli/RoBerta") model = AutoModelForSequenceClassification.from_pretrained("salmaaidli/RoBerta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
ebf331e -
Duplicate from siberett/roberta-sentiment-analysis-finetune
Co-authored-by: Alejandro Albarracin Rojas <siberett@users.noreply.huggingface.co>e5b4f36