Token Classification
Transformers
PyTorch
TensorBoard
electra
Generated from Trainer
Eval Results (legacy)
Instructions to use chintagunta85/electramed-small-deid2014-ner-v5-classweights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chintagunta85/electramed-small-deid2014-ner-v5-classweights with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chintagunta85/electramed-small-deid2014-ner-v5-classweights")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chintagunta85/electramed-small-deid2014-ner-v5-classweights") model = AutoModelForTokenClassification.from_pretrained("chintagunta85/electramed-small-deid2014-ner-v5-classweights") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec055453cfc17a5f059c88252061ebefb6fe137bb72e66eac838f34c2bd1127a
- Size of remote file:
- 3.44 kB
- SHA256:
- e8a466c6ff5bb5ef464d3a5e03039d7573f8342aab7d3c24e9eb4b7af9605e7b
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