Instructions to use aswinsson/fake_new_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aswinsson/fake_new_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aswinsson/fake_new_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aswinsson/fake_new_classifier") model = AutoModelForSequenceClassification.from_pretrained("aswinsson/fake_new_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload rng_state.pth with git-lfs
Browse files- rng_state.pth +3 -0
rng_state.pth
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oid sha256:ad84a9aa539b3d791ae6157eb435ee70c9011e2152e7f1b852f78dd050740198
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size 14503
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