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:
- 5f6bacf1dca2be8eb3719f232de1056c4b3debe3ddde858e685f139736870c45
- Size of remote file:
- 4.16 kB
- SHA256:
- 1e77a41f52d773a1d8d379f266b454886710f631c04e10af0fa2ed85a7c7dee4
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