Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use jialicheng/imdb_roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jialicheng/imdb_roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jialicheng/imdb_roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jialicheng/imdb_roberta-base") model = AutoModelForSequenceClassification.from_pretrained("jialicheng/imdb_roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 266bace0560811c8d144090c9608bd72b920cbf079e8c07c61943206193a8db0
- Size of remote file:
- 200 kB
- SHA256:
- 4eaff8b93755060313577ea8fe208f1ab23b1d4b5cd805696bfc82f9acd968eb
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