Instructions to use BMILab/TCR-BERT-PositionLoss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BMILab/TCR-BERT-PositionLoss with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BMILab/TCR-BERT-PositionLoss")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BMILab/TCR-BERT-PositionLoss") model = AutoModelForMaskedLM.from_pretrained("BMILab/TCR-BERT-PositionLoss") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload tokenizer 73ff0d2
Upload BertForMaskedLM fab70da
initial commit 4f476c3
Sang am Lee commited on