Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ghatgetanuj/roberta-large_cls_subj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghatgetanuj/roberta-large_cls_subj with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ghatgetanuj/roberta-large_cls_subj")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ghatgetanuj/roberta-large_cls_subj") model = AutoModelForSequenceClassification.from_pretrained("ghatgetanuj/roberta-large_cls_subj") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9b823343890e19cc2f9d5283cee26a4bb9bd050bdfd167f96368faebfb56400
- Size of remote file:
- 1.42 GB
- SHA256:
- 1ed2867d7fd111be9f36896cc5b5848689f51b95cded9c8356cc4052904e1295
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