Instructions to use imxly/sentence_roberta_wwm_ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imxly/sentence_roberta_wwm_ext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="imxly/sentence_roberta_wwm_ext")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("imxly/sentence_roberta_wwm_ext") model = AutoModel.from_pretrained("imxly/sentence_roberta_wwm_ext") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d02c9a552c731d90ebe0198f50d0fb342f455a2b2829e7f7c88b1776db530ad9
- Size of remote file:
- 409 MB
- SHA256:
- b203b786263ae41ebc58ccb1b9f6ba8a2a54699f0fbe671decc2d5bbdd253fa6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.