Token Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use msperka/HeRo-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msperka/HeRo-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="msperka/HeRo-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("msperka/HeRo-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("msperka/HeRo-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
HeRo-finetuned-ner / runs /Dec25_11-24-45_soc-5CG223442L /events.out.tfevents.1703496286.soc-5CG223442L
- Xet hash:
- 3e107eef12c28abe0a838946be1afedef3d70bc03f1dc044cd4a19ab00e17868
- Size of remote file:
- 7.94 kB
- SHA256:
- ce203b540ee14ebdda7669c984c3254ee5eebf03adadeff7a1facd84524516d5
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