Instructions to use tornqvistmax/7cats_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tornqvistmax/7cats_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tornqvistmax/7cats_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tornqvistmax/7cats_finetuned") model = AutoModelForSequenceClassification.from_pretrained("tornqvistmax/7cats_finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdd59c2d95b04b1d6b1889cf4ed2181427a841d4d16fc4a415c8676d5a9baf36
- Size of remote file:
- 17.1 MB
- SHA256:
- b6157ef1e22874f41a464e7083b5519141884d2d53e0b397791396c258fa2fde
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