Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use youralien/roberta-Structure-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use youralien/roberta-Structure-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="youralien/roberta-Structure-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("youralien/roberta-Structure-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current") model = AutoModelForSequenceClassification.from_pretrained("youralien/roberta-Structure-goodareas-eval_FeedbackESConv5pp_CARE10pp-sweeps-current", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe0e0752ca5d3ee9a2c85c0fb70b23cd068c22cb3464459809e5887a11f6d520
- Size of remote file:
- 5.5 kB
- SHA256:
- a9e85919de847e156c09df3e99e741ea7aaf78a46a2932e01792465ce979e3c7
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