Text Classification
Transformers
PyTorch
Safetensors
Enawené-Nawé
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use AyoubChLin/roberta-large-bbc_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/roberta-large-bbc_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/roberta-large-bbc_news")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/roberta-large-bbc_news") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/roberta-large-bbc_news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (a88fac6589e56899327b0498d416812a023e6a98) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>6bbc349
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Update config.json
85f58bd -
Commit From AutoTrain
61f74d0 -
initial commit
3ff71e6