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:
- e74ba4b7e8cc1d0fcd0536b77c7e0b24022c7f722ac7840c6eb851482d35cd4c
- Size of remote file:
- 1.12 GB
- SHA256:
- a7e35116a72eb457127eae94a2c04e5428519eae0f5ffebc5267c738c4880561
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