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_08-47-04_1c87503e7107/events.out.tfevents.1682326028.1c87503e7107.175.4 +2 -2
- runs/Apr24_10-57-41_1c87503e7107/1682333865.3271458/events.out.tfevents.1682333865.1c87503e7107.175.7 +3 -0
- runs/Apr24_10-57-41_1c87503e7107/events.out.tfevents.1682333865.1c87503e7107.175.6 +3 -0
- training_args.bin +1 -1
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