Instructions to use relbert/relbert-roberta-base-nce-t-rex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relbert/relbert-roberta-base-nce-t-rex with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="relbert/relbert-roberta-base-nce-t-rex")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("relbert/relbert-roberta-base-nce-t-rex") model = AutoModel.from_pretrained("relbert/relbert-roberta-base-nce-t-rex", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc2d34a4b763542eed23ef7fe72471067c5d68f392713a0feebd0b6f047d946e
- Size of remote file:
- 499 MB
- SHA256:
- 36e5182ebc888d5e917f1ef86fc498b0177733c088e40a417399edb87ab24e3f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.