Instructions to use sniffle/distilbert-rater with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sniffle/distilbert-rater with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sniffle/distilbert-rater")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sniffle/distilbert-rater") model = AutoModelForSequenceClassification.from_pretrained("sniffle/distilbert-rater", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2ec26445e29b8e74dcc457f1d98c660ab73a5a8391a4e30e23abe150553e807
- Size of remote file:
- 268 MB
- SHA256:
- 451e03faa04b18cffa3f429f42ac4fd472a1913f88516f709ac0112774db1247
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