Instructions to use HasinMDG/XLM_Roberta_Large_IPTC_Classifier_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HasinMDG/XLM_Roberta_Large_IPTC_Classifier_V2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HasinMDG/XLM_Roberta_Large_IPTC_Classifier_V2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use HasinMDG/XLM_Roberta_Large_IPTC_Classifier_V2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("HasinMDG/XLM_Roberta_Large_IPTC_Classifier_V2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31f088c181ab4001ec5f6e46b75e7363f60f29c24c03aa7c69719c28bebe3ef8
- Size of remote file:
- 2.24 GB
- SHA256:
- 83311d9e2230891635e8ecb45574cb3d69d76f477ab3be4903fa46a3a881761b
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