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:
- 0c29e387868b6163b6427ebd8aaee7a97454e93e5f7b3fade48466d0aca55e63
- Size of remote file:
- 329 MB
- SHA256:
- 11ad71ca0ca39e760423cd53e4ad0b7ecac184238867426042fb8cc847bb785f
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