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:
- 907aa4bcd431fcbc7966c6b05511696c6263c1db6a2697fedfe539785630e0ec
- Size of remote file:
- 3.58 kB
- SHA256:
- b2cfce7360b50816f4eb3b50b29d0af81d30b45ab8092d896010c66845814749
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