Instructions to use AXKuhta/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXKuhta/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AXKuhta/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AXKuhta/test") model = AutoModelForSequenceClassification.from_pretrained("AXKuhta/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7ae7c49fb71b856b69c9c27e3290f4798b76275441b429276c78cf4ec292552
- Size of remote file:
- 438 MB
- SHA256:
- 93d2a9fd1b83816645d8941e9d8e7daa2d789531e7d04b1b2c0d4396a71b4136
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