Instructions to use forthisdream/TTC4900Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use forthisdream/TTC4900Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="forthisdream/TTC4900Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("forthisdream/TTC4900Model") model = AutoModelForSequenceClassification.from_pretrained("forthisdream/TTC4900Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8338f96662da6aab36f14dd737b9408779ed061d289d926248f8309d09a728e
- Size of remote file:
- 5.11 kB
- SHA256:
- 94598e3f97c6865da626fa166c27fbae34b52ad0f2d77001cccb9a7c5fd83f09
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