Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use agi-css/distilroberta-base-etc-sym with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agi-css/distilroberta-base-etc-sym with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agi-css/distilroberta-base-etc-sym")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agi-css/distilroberta-base-etc-sym") model = AutoModelForSequenceClassification.from_pretrained("agi-css/distilroberta-base-etc-sym") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d0c16a1ec20d50d4495df5bf930373ba95f382862933983f040b23dd829e216
- Size of remote file:
- 329 MB
- SHA256:
- 553f8c5fdd29b43bbd5fe96c926f04f11121c46bf73a2aa1a047cf001507fe06
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