Instructions to use fredymad/bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fredymad/bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fredymad/bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fredymad/bert") model = AutoModelForSequenceClassification.from_pretrained("fredymad/bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- runs/Apr24_08-01-12_1c87503e7107/1682323388.731178/events.out.tfevents.1682323388.1c87503e7107.175.1 +3 -0
- runs/Apr24_08-01-12_1c87503e7107/events.out.tfevents.1682323388.1c87503e7107.175.0 +3 -0
- runs/Apr24_08-13-02_1c87503e7107/1682323985.7105439/events.out.tfevents.1682323985.1c87503e7107.175.3 +3 -0
- runs/Apr24_08-13-02_1c87503e7107/events.out.tfevents.1682323985.1c87503e7107.175.2 +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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