Instructions to use AyoubChLin/Albert-bbc-news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/Albert-bbc-news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/Albert-bbc-news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/Albert-bbc-news") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/Albert-bbc-news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 408c726b234c24a91844e37cb375c293501e8ed12ad04292f310788fe34642ca
- Size of remote file:
- 890 MB
- SHA256:
- 8a2cf08b6fa831272e4adb727c0abca615c979c54aef68f6206a9fdb21d72668
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