Token Classification
Transformers
PyTorch
Chinese
roberta
NER
TCM
Traditional Chinese Medicine
medical
Instructions to use Monor/hwtcmner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monor/hwtcmner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Monor/hwtcmner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Monor/hwtcmner") model = AutoModelForTokenClassification.from_pretrained("Monor/hwtcmner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3c7d87eacb0b2115cd2639558aacf673df92b5fd47053b8c6ca2895275de9b1
- Size of remote file:
- 423 MB
- SHA256:
- 0845ff75b9c5688d857049660691bca57fd8c5e67559f294b0e307a539115717
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