Instructions to use chizhikchi/Spanish_disease_finder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chizhikchi/Spanish_disease_finder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chizhikchi/Spanish_disease_finder")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chizhikchi/Spanish_disease_finder") model = AutoModelForTokenClassification.from_pretrained("chizhikchi/Spanish_disease_finder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9214584fc98787115e1fa85b461529962796ab8afbc3989686c7a0e2e694de21
- Size of remote file:
- 496 MB
- SHA256:
- cee79692910fad372a63c95bd8676063a7fc548cadaeea2ecfc6e2c96983d653
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.