Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use sid321axn/Bio_ClinicalBERT-finetuned-medicalcondition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sid321axn/Bio_ClinicalBERT-finetuned-medicalcondition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sid321axn/Bio_ClinicalBERT-finetuned-medicalcondition")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sid321axn/Bio_ClinicalBERT-finetuned-medicalcondition") model = AutoModelForSequenceClassification.from_pretrained("sid321axn/Bio_ClinicalBERT-finetuned-medicalcondition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Success is guaranteed!
Browse files
pytorch_model.bin
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runs/Jan20_10-55-05_1180189409fb/events.out.tfevents.1674212271.1180189409fb.1587.0
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