Instructions to use Mithil/RobertaAmazonTrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mithil/RobertaAmazonTrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mithil/RobertaAmazonTrained")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mithil/RobertaAmazonTrained") model = AutoModelForSequenceClassification.from_pretrained("Mithil/RobertaAmazonTrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ec54257193dcfaf2edb3231ba8517fb6537be50da0359a93e9a05dac2ebe24b
- Size of remote file:
- 499 MB
- SHA256:
- 1ffa6dc03fdaee68e34ba105de7d56f755a3844c1740091aef5e7c9b5de9185d
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