Instructions to use PathFinderKR/sparse-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PathFinderKR/sparse-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="PathFinderKR/sparse-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PathFinderKR/sparse-roberta") model = AutoModelForMaskedLM.from_pretrained("PathFinderKR/sparse-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 309308573587acac602ff04341baf896e5f9b4305532637e1cb54308cea6b1e4
- Size of remote file:
- 5.78 kB
- SHA256:
- dc00c611a5243371599dffd311621fc5368e93b2d9c4053185ee162548f5517e
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