Instructions to use karths/low_priority_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/low_priority_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/low_priority_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/low_priority_roberta") model = AutoModelForSequenceClassification.from_pretrained("karths/low_priority_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fc5886aab50d4d23bfa6c680f0f9cf451b7d38cdddcccf507a64cae1f7b67c3
- Size of remote file:
- 4.66 kB
- SHA256:
- 5e42bd909af546dc47efeb558c040128f2148109be043e30fd547a767dbc8784
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