Instructions to use howey/electra-large-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howey/electra-large-rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="howey/electra-large-rte")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("howey/electra-large-rte") model = AutoModelForSequenceClassification.from_pretrained("howey/electra-large-rte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb964634f6761aca3a461823bab1ba8552313e6734593a13364c7c711231434e
- Size of remote file:
- 2.48 kB
- SHA256:
- 1a3fcbc931df4d6227f809680d42baadc8b49e2d6ef2f6f768c92b78bb91a67a
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