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:
- 81ccc439d6322f291f10ad8ea21443d6f8e98831d3de402f000407d8c26afd5a
- Size of remote file:
- 3.06 kB
- SHA256:
- 86ff42414791b4cfa44493ecd0814d6deece760a3b8d3a5b6b9c15a8d5ecb7b2
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