Instructions to use karalif/testASDmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karalif/testASDmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karalif/testASDmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karalif/testASDmodel") model = AutoModelForSequenceClassification.from_pretrained("karalif/testASDmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9f696de79d3de6d323805004de2ac223c7dbf5b85c223ec700297b4969b7f18
- Size of remote file:
- 498 MB
- SHA256:
- c0af52a6c5a24933627c57dcd24211dcc96feb721fc1532959e406a51e351ea6
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