Instructions to use Recognai/veganuary_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Recognai/veganuary_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Recognai/veganuary_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Recognai/veganuary_ner") model = AutoModelForTokenClassification.from_pretrained("Recognai/veganuary_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c263926401bbb79368821e749bee8aaeb1a0dbdf0834360ef0e3d0fb591d2061
- Size of remote file:
- 496 MB
- SHA256:
- a5e3d7beb3638a57c5acbf1560ab833ec3b6a234ee063b00f79f3c47c7aa9451
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