Instructions to use dennlinger/roberta-cls-consec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dennlinger/roberta-cls-consec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dennlinger/roberta-cls-consec")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dennlinger/roberta-cls-consec") model = AutoModelForSequenceClassification.from_pretrained("dennlinger/roberta-cls-consec") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9358e2670db73617f7b20c00c08047c41ad554a2da77a73e81316145f572ff45
- Size of remote file:
- 501 MB
- SHA256:
- d473dbe1e6cf88edb303c7dd6a1d146258d92651d728f0008093caf113e54f31
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