Instructions to use AnonymousSub/declutr-roberta-papers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/declutr-roberta-papers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AnonymousSub/declutr-roberta-papers")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/declutr-roberta-papers") model = AutoModelForMaskedLM.from_pretrained("AnonymousSub/declutr-roberta-papers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f91802efc1678b28048221751d8db49bb44158c227e2e0e61b70f2473ae4d58
- Size of remote file:
- 329 MB
- SHA256:
- d77a9df68f54e29784b5deb475af19c1fb0fb83b5274a9a6354a1560377309d8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.