Instructions to use Cournane/roberta-base-reduced-Neckline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cournane/roberta-base-reduced-Neckline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cournane/roberta-base-reduced-Neckline")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cournane/roberta-base-reduced-Neckline") model = AutoModelForSequenceClassification.from_pretrained("Cournane/roberta-base-reduced-Neckline") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5166086d15faedfea7eb50645371ec6f1e40627d7154837ef150eb8248d29192
- Size of remote file:
- 3.9 kB
- SHA256:
- f2278eaeac435ec6c25d4100ec95146eb526be291ae1b48a62902e721ef66a03
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