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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e04e594180082cb537caec34fac55dc07e4aa84f97c362e100958b179a377ddd
- Size of remote file:
- 300 MB
- SHA256:
- b27026b7da9a4151261859a36ff1415058e6b667ad739ed933a960bb08b1688e
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