Instructions to use sofom/roberta-base-multitudev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/roberta-base-multitudev2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/roberta-base-multitudev2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/roberta-base-multitudev2") model = AutoModel.from_pretrained("sofom/roberta-base-multitudev2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a602215204b2b32ba9c1ff0b71eb49cb9ac732d06680461509549b3b513fbfa
- Size of remote file:
- 249 MB
- SHA256:
- ae629bfa2d88cf3827b23c20a1a44e659070a3a91c3c12c7cf8895ae312a9122
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