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:
- e1bb476e57e94e3fd9eb3a906d24eb025f2db53455d546b89a361716f17932df
- Size of remote file:
- 2.27 MB
- SHA256:
- aa3d312ad0c0a35d2acbdcd995330ab9f987f73152ed85562b528d7445101f0d
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