Instructions to use EndLessTime/fine_tuned_hswag_callback10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_hswag_callback10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_hswag_callback10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_hswag_callback10") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_hswag_callback10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac7fcd35842394fa0dc21a3bf37e3c892bdcb3971a81bfc1d9b3c4cd1c04c79a
- Size of remote file:
- 1.18 GB
- SHA256:
- 28c61535df073e3f84d098575cbc8b8ace637121eac353fd2f828a399f4f04d0
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