Text Classification
Transformers
Joblib
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Iloriayomide/my-symptom-checker-biobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iloriayomide/my-symptom-checker-biobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Iloriayomide/my-symptom-checker-biobert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Iloriayomide/my-symptom-checker-biobert") model = AutoModelForSequenceClassification.from_pretrained("Iloriayomide/my-symptom-checker-biobert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b03921a04a4e9c275bd90e4b45f737b6c4d2d654b859865ecdd8dff6d228d226
- Size of remote file:
- 5.84 kB
- SHA256:
- 29d12501a14e702bd3abd2d8bdb4d1c6196970c952d10ec7fb6e37cfcb56d393
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