Instructions to use SajilAwale/FunnyModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SajilAwale/FunnyModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SajilAwale/FunnyModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SajilAwale/FunnyModel") model = AutoModelForSequenceClassification.from_pretrained("SajilAwale/FunnyModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 936104b5bc8cce302dd393c6a65847efba1651ec3b59b62eb11fecfd1e37d1e7
- Size of remote file:
- 499 MB
- SHA256:
- e9eef30ee878ea88c8e043a6413a9fa21e98ed6cb8515a31a45064a90f0f6423
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