For prediction on test data use this link. https://colab.research.google.com/drive/1K-ED0yvMsdciNo52rluauQBEAg-DBomC?usp=sharing 
update best_model_path = "sumitrsch/multiconer2_muril_large_bn"

If you are using this code, cite paper "silp_nlp at SemEval-2023 Task 2: Cross-lingual Knowledge Transfer for Mono-lingual Learning" 
https://aclanthology.org/2023.semeval-1.164
{}
transformers pytorch bert token-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #autotrain_compatible #endpoints_compatible #region-us 

For prediction on test data use this link. URL 
update best_model_path = "sumitrsch/multiconer2_muril_large_bn"

If you are using this code, cite paper "silp_nlp at SemEval-2023 Task 2: Cross-lingual Knowledge Transfer for Mono-lingual Learning" 
URL
TAGS
#transformers #pytorch #bert #token-classification #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #bert #token-classification #autotrain_compatible #endpoints_compatible #region-us 
