Instructions to use cbrew475/mpnet-metric with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cbrew475/mpnet-metric with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cbrew475/mpnet-metric")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cbrew475/mpnet-metric") model = AutoModelForSequenceClassification.from_pretrained("cbrew475/mpnet-metric", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files- checkpoint-1200/optimizer.pt +1 -1
- checkpoint-1200/pytorch_model.bin +1 -1
- checkpoint-1200/scheduler.pt +1 -1
- checkpoint-1200/trainer_state.json +90 -90
- checkpoint-1200/training_args.bin +1 -1
- checkpoint-1400/optimizer.pt +1 -1
- checkpoint-1400/pytorch_model.bin +1 -1
- checkpoint-1400/scheduler.pt +1 -1
- checkpoint-1400/trainer_state.json +104 -104
- checkpoint-1400/training_args.bin +1 -1
- checkpoint-1600/optimizer.pt +1 -1
- checkpoint-1600/pytorch_model.bin +1 -1
- checkpoint-1600/scheduler.pt +1 -1
- checkpoint-1600/trainer_state.json +120 -120
- checkpoint-1600/training_args.bin +1 -1
- checkpoint-200/optimizer.pt +1 -1
- checkpoint-200/pytorch_model.bin +1 -1
- checkpoint-200/scheduler.pt +1 -1
- checkpoint-200/trainer_state.json +15 -15
- checkpoint-200/training_args.bin +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
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