Instructions to use EndLessTime/fine_tuned_hswag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_hswag with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_hswag")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_hswag") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_hswag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fdd05fa07bb74d9c05e183e1173a7c9074cfdb6a56c11973236086fdbbfb4c1
- Size of remote file:
- 5.24 kB
- SHA256:
- ad11b2eaaeaedaedb87ef477428863052f2c7382804ec30461cb63763192c62b
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