Instructions to use shahp7575/electricidad-base-muchocine-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahp7575/electricidad-base-muchocine-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shahp7575/electricidad-base-muchocine-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shahp7575/electricidad-base-muchocine-finetuned") model = AutoModelForSequenceClassification.from_pretrained("shahp7575/electricidad-base-muchocine-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c92f2b467a31450413b070035d04962ceff2ecb7198da5d1b6ae6f356dd89b4
- Size of remote file:
- 440 MB
- SHA256:
- a1823b28fb6140e3c24e90575de4b7eb0a50ab7560431933cef3c924d29568f0
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