Instructions to use AntoineBlanot/roberta-large-seq-classif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AntoineBlanot/roberta-large-seq-classif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AntoineBlanot/roberta-large-seq-classif")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AntoineBlanot/roberta-large-seq-classif") model = AutoModelForSequenceClassification.from_pretrained("AntoineBlanot/roberta-large-seq-classif") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50b938106320b4e58f6f81394baab9f29779ebf5389c47ac50bda9873efbb425
- Size of remote file:
- 1.42 GB
- SHA256:
- 36fb40888ccaea457cffbf28240dde0d17fc52809d9c1fda98d1ecbafd06f849
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