Instructions to use ruanchaves/mdeberta-v3-base-porsimplessent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruanchaves/mdeberta-v3-base-porsimplessent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ruanchaves/mdeberta-v3-base-porsimplessent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ruanchaves/mdeberta-v3-base-porsimplessent") model = AutoModelForSequenceClassification.from_pretrained("ruanchaves/mdeberta-v3-base-porsimplessent") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b79c99c8bfc1d004666825e38f7772e3c40bd99609316a09712653116517700f
- Size of remote file:
- 3.7 kB
- SHA256:
- 8ba8c407eded404ea4dae4859b5265f01411cd33d373cda8d7c3abd5a9c8a660
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