Instructions to use renjithks/distilbert-cord-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use renjithks/distilbert-cord-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="renjithks/distilbert-cord-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("renjithks/distilbert-cord-ner") model = AutoModelForTokenClassification.from_pretrained("renjithks/distilbert-cord-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76b6f449f613f1a05007953cd4351d208dd05f5b12f273e4f57912e019f8ef8b
- Size of remote file:
- 3.06 kB
- SHA256:
- ad3f4b2fba2b0d47d04f279ee3977ba591654ef406d3a9c4b00bb5a499f163e4
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