Instructions to use pczarnik/herbert-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pczarnik/herbert-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pczarnik/herbert-base-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pczarnik/herbert-base-ner") model = AutoModelForTokenClassification.from_pretrained("pczarnik/herbert-base-ner") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb285ffd1b7c8c1caf51af22a1e1642550cc9f4b8e782fc98349fd212a4e66c1
- Size of remote file:
- 3.9 kB
- SHA256:
- 05518d343a0ec464be279376ef0a6991394588a558459cc6d1430cbdaf51f55a
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