Instructions to use arminmehrabian/roberta-base-classification-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arminmehrabian/roberta-base-classification-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arminmehrabian/roberta-base-classification-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arminmehrabian/roberta-base-classification-finetuned") model = AutoModelForSequenceClassification.from_pretrained("arminmehrabian/roberta-base-classification-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Armin Mehrabian
First version of the trained classifier using v4 dataset and RoBERTa base model.
48a299c - Xet hash:
- efe47ecac80c913173a989dabccfafb00b5b458554d5a883d0e39c91445f1045
- Size of remote file:
- 499 MB
- SHA256:
- b367d03bb4fe761a7b3fb37f76a31050878d049bab7b2954a5d1b0c228421d40
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