Text Classification
Transformers
PyTorch
Safetensors
Enawené-Nawé
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use AyoubChLin/DistilRoberta-bbc_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/DistilRoberta-bbc_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/DistilRoberta-bbc_news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/DistilRoberta-bbc_news") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/DistilRoberta-bbc_news") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00719df1d517d109bdda4d8d25003f659c4446b8cbaa30e7f491e1b4f5c5efe9
- Size of remote file:
- 329 MB
- SHA256:
- ad204e9867f4100cfcde9e69725761ede6288ae780b15949a2f6917894a6353e
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