Instructions to use luohy/ESP-deberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohy/ESP-deberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luohy/ESP-deberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luohy/ESP-deberta-large") model = AutoModelForSequenceClassification.from_pretrained("luohy/ESP-deberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86ecb066fa9050eac8563fcff92833cbf2b20301cb1573c78d62d78f9ce4d85a
- Size of remote file:
- 1.63 GB
- SHA256:
- a05c5904171ec80a1ab7ce58813bbbf20d4b24ef3be6dbc6e6094a06781e2e9e
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