Instructions to use rach405/test_trainer5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rach405/test_trainer5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rach405/test_trainer5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rach405/test_trainer5") model = AutoModelForSequenceClassification.from_pretrained("rach405/test_trainer5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3500
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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