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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eace6b47e1ed464f328abdd1e87177bc7336924d70e32f667ab2f2f25d69aee5
- Size of remote file:
- 268 MB
- SHA256:
- a94eadf3be0dd143cfd11fd40e0bdb2a4cbfe4b000d2fd1ed0faad23eba1a12f
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