Instructions to use ruanchaves/mdeberta-v3-base-assin2-entailment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruanchaves/mdeberta-v3-base-assin2-entailment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ruanchaves/mdeberta-v3-base-assin2-entailment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ruanchaves/mdeberta-v3-base-assin2-entailment") model = AutoModelForSequenceClassification.from_pretrained("ruanchaves/mdeberta-v3-base-assin2-entailment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dd31b15674ecd62c189665fbda0f2f33ff467898fc83f65e29fd63710e60998
- Size of remote file:
- 16.3 MB
- SHA256:
- 8babce5b21d79149efafe0aa396a3afe2e2c94ba3aa3f75734091c04dc7ef4a5
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