Instructions to use sofom/roberta-base-multisocial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/roberta-base-multisocial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/roberta-base-multisocial")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/roberta-base-multisocial") model = AutoModel.from_pretrained("sofom/roberta-base-multisocial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2a91bea620462bf3f282015fc7ef2ac8405c06d4c9f4f6bb6acc1557498cec5
- Size of remote file:
- 249 MB
- SHA256:
- 569123acaafc91cdff77562c1afb42dd2461dbfec109586a54390e67593172c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.