Instructions to use amottelson/roberta-replication with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amottelson/roberta-replication with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amottelson/roberta-replication")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amottelson/roberta-replication") model = AutoModelForSequenceClassification.from_pretrained("amottelson/roberta-replication") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04fafb6a040b81da3a68e920a5d02b2b8c0788981f32074af06190e0ad8d6d90
- Size of remote file:
- 3.58 kB
- SHA256:
- 2b36492cfb44b561ffe32f7706ea3c8c824ec0db670f9d0498653b23cf3cdf05
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