Instructions to use AyoubChLin/Electra-bbc-news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/Electra-bbc-news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/Electra-bbc-news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/Electra-bbc-news") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/Electra-bbc-news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cb7b33d48b9ab0b5cca08a05911d5aed529d6794395d4f99b09892772dc8efd
- Size of remote file:
- 204 MB
- SHA256:
- 375973956c4676c9522ea28abc63df4c2bac8ad8eb4958da716e03cb3abd3587
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