Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use agi-css/distilroberta-base-etc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agi-css/distilroberta-base-etc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agi-css/distilroberta-base-etc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agi-css/distilroberta-base-etc") model = AutoModelForSequenceClassification.from_pretrained("agi-css/distilroberta-base-etc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51a78d35cf1f9803c88a2862137c26abaec65a059d1ce768463ceedd38af73a3
- Size of remote file:
- 3.06 kB
- SHA256:
- e8597b5a56560ae865ac6c7151511d02557b04d2c1de81da2fc90dcc9555c114
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