Instructions to use hagara/roberta-large-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hagara/roberta-large-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hagara/roberta-large-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hagara/roberta-large-2") model = AutoModelForSequenceClassification.from_pretrained("hagara/roberta-large-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8413102f04a798a34bfb222055ca6301c335123bd78d3c8f85db4fca8714368d
- Size of remote file:
- 1.42 GB
- SHA256:
- 231a423a8338bf30d3d847d1acf0a0eb8238e527f8958a41fd26c4649ab0dc5c
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