Instructions to use leiredsol/mdeberta-v3-base-rac-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leiredsol/mdeberta-v3-base-rac-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leiredsol/mdeberta-v3-base-rac-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leiredsol/mdeberta-v3-base-rac-binary") model = AutoModelForSequenceClassification.from_pretrained("leiredsol/mdeberta-v3-base-rac-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 767cf0c8949fdb22057d10834fb1227f42044e67921eeed05f94391c464ac97a
- Size of remote file:
- 16.4 MB
- SHA256:
- 3e8dd895e1c0446af067ea6e3dbd64a90f75db4a476aea4df901cd8d3a28de7d
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