Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Areepatw/roberta-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Areepatw/roberta-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Areepatw/roberta-sst2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Areepatw/roberta-sst2") model = AutoModelForSequenceClassification.from_pretrained("Areepatw/roberta-sst2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload eval_results.json with huggingface_hub
Verified signature84dfd9a -
Initial model upload
Verified signatureee9fbb4 -
Training in progress, epoch 1
Verified signaturec557005
-
Upload eval_results.json with huggingface_hub
Verified signatureb8fa34f -
Initial model upload
Verified signaturef6324ea -
Training in progress, epoch 1
Verified signature99c983f -
initial commit
Verified signaturec6bbb5f