Instructions to use benayas/roberta-finetuned-massive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benayas/roberta-finetuned-massive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="benayas/roberta-finetuned-massive")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("benayas/roberta-finetuned-massive") model = AutoModelForSequenceClassification.from_pretrained("benayas/roberta-finetuned-massive") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cab634c60ec2f69028e3d480d3b327d71f1381c1795b607efb79d304e956974
- Size of remote file:
- 499 MB
- SHA256:
- 6e071a87b3733e115a5333a34f5c7faa94d221a281a1832c6bcd87fbda423a49
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