Instructions to use cmcmorrow/distilbert-rater with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cmcmorrow/distilbert-rater with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cmcmorrow/distilbert-rater")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cmcmorrow/distilbert-rater") model = AutoModelForSequenceClassification.from_pretrained("cmcmorrow/distilbert-rater", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f93aab9fd962ac0667683d58f07e8abc7f137b9f7cd083f5b63894b2d1a10054
- Size of remote file:
- 268 MB
- SHA256:
- 22bec010e31aa64cc8cbcf91aba72d3974e9652daf9edb60ea3736b8d1772b56
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