Instructions to use airbusa388/supervised_test_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airbusa388/supervised_test_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="airbusa388/supervised_test_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("airbusa388/supervised_test_1") model = AutoModelForSequenceClassification.from_pretrained("airbusa388/supervised_test_1") - Notebooks
- Google Colab
- Kaggle
Commit ·
6de6de1
1
Parent(s): 0a3e6b7
Training in progress, epoch 2
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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