Instructions to use Fizzarolli/thingy-classifier-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fizzarolli/thingy-classifier-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fizzarolli/thingy-classifier-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fizzarolli/thingy-classifier-v1") model = AutoModelForSequenceClassification.from_pretrained("Fizzarolli/thingy-classifier-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea11c54bce6f2319468dd687bd370fd42cbfa11c2b11be8af17b29af6eb29e80
- Size of remote file:
- 56.3 MB
- SHA256:
- 9604cc3447d05a0b8f1e1312eeb68323d1c02ca2a95854e9c4f4124731963268
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