Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use elopezlopez/Bio_ClinicalBERT_fold_1_binary_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elopezlopez/Bio_ClinicalBERT_fold_1_binary_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="elopezlopez/Bio_ClinicalBERT_fold_1_binary_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("elopezlopez/Bio_ClinicalBERT_fold_1_binary_v1") model = AutoModelForSequenceClassification.from_pretrained("elopezlopez/Bio_ClinicalBERT_fold_1_binary_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
4b1b06a
1
Parent(s): 023640b
End of training
Browse files- pytorch_model.bin +1 -1
- runs/Aug04_07-21-51_6acdbe36aa8f/1659597889.362624/events.out.tfevents.1659597889.6acdbe36aa8f.72.1 +3 -0
- runs/Aug04_07-21-51_6acdbe36aa8f/events.out.tfevents.1659597889.6acdbe36aa8f.72.0 +3 -0
- runs/Aug04_07-21-51_6acdbe36aa8f/events.out.tfevents.1659598931.6acdbe36aa8f.72.2 +3 -0
- training_args.bin +1 -1
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