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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e8350904433a172ad52321abe3663247fc522b1341d8fb29614771c7990311d
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size 328505708
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