Instructions to use baunef/PopFit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baunef/PopFit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baunef/PopFit")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("baunef/PopFit") model = AutoModel.from_pretrained("baunef/PopFit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e482f0859b42683c7f41e23a095660bcdbf21dbe4ff77afa21180f8c59324298
- Size of remote file:
- 1.34 GB
- SHA256:
- 97dfa782f7da62daae3d5463fed04656b83449918833614be4a5bdb9bb965a71
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