Instructions to use SkyR/roberta-base-ours-run-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkyR/roberta-base-ours-run-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkyR/roberta-base-ours-run-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SkyR/roberta-base-ours-run-2") model = AutoModelForSequenceClassification.from_pretrained("SkyR/roberta-base-ours-run-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec96723e1a5f54bfc4e9eafd93e679e49df590f652970232b8a8e2806145579a
- Size of remote file:
- 3.39 kB
- SHA256:
- 29f59faf2970c6a24a441b74f8d5deb3e94a7c4236832dd605e12457ec0acf58
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.