Instructions to use joeldenny/ernie-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joeldenny/ernie-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joeldenny/ernie-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joeldenny/ernie-model") model = AutoModelForSequenceClassification.from_pretrained("joeldenny/ernie-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afc644fca62bf78ed4be69ecde740ca700157dd8fd2fef3b927c8617787b92c7
- Size of remote file:
- 438 MB
- SHA256:
- 523ccbd06dc1d1c4051e897bf18fda09479718e36e755d1ad5c97fd8d14b27b9
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