Instructions to use sangmini/FC_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sangmini/FC_baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sangmini/FC_baseline")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sangmini/FC_baseline") model = AutoModelForSequenceClassification.from_pretrained("sangmini/FC_baseline") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4eeae8e7ebd28c28c0732fa0df020b9f0151281ca57def3225894d1a26ad2c7c
- Size of remote file:
- 2.24 GB
- SHA256:
- 18fa5ff6d084af2820df32baad4ee95a6a3416c57ec27b55c1d72fd3142555e5
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