Token Classification
Transformers
TensorBoard
Safetensors
English
electra
biology
chemistry
medical
cancer
carcinogenesis
biomedical
ner
oncology
Eval Results (legacy)
Instructions to use jimnoneill/CarD-T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jimnoneill/CarD-T with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jimnoneill/CarD-T")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jimnoneill/CarD-T") model = AutoModelForTokenClassification.from_pretrained("jimnoneill/CarD-T") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68ec716be80bdd7bb5fec8f6001ba111e89e190123e2becfebea679bcfb492b3
- Size of remote file:
- 5.43 kB
- SHA256:
- 6fbf6ee382bdf4fc7a704ade5bbd728f43b83dd5b0a0779f6ffdaf51f9e4d6d2
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