Instructions to use Madnesss/exp-no0-hack3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Madnesss/exp-no0-hack3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Madnesss/exp-no0-hack3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Madnesss/exp-no0-hack3") model = AutoModelForSequenceClassification.from_pretrained("Madnesss/exp-no0-hack3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 646721eebacf8960101b1cde0e1fd25927b999853cf63a843b69d73300f3a8c2
- Size of remote file:
- 4.92 kB
- SHA256:
- 734aef4ce4f4ed260c216fb369979b5ac23a5288c37803bb2c4d68ff14084404
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