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
- Xet hash:
- 8ddf8fd7c58af7327f3e84e0013e72b9ec478dc76b631a3c80653bbc1a9a26e4
- Size of remote file:
- 496 MB
- SHA256:
- 6551964460ebcf1b1c7627b8f24475de52f1084c42ddba7f748a0d8dad314ecb
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