Instructions to use ruanchaves/mdeberta-v3-base-faquad-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruanchaves/mdeberta-v3-base-faquad-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ruanchaves/mdeberta-v3-base-faquad-nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ruanchaves/mdeberta-v3-base-faquad-nli") model = AutoModelForSequenceClassification.from_pretrained("ruanchaves/mdeberta-v3-base-faquad-nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16d02a7febfe5bf6d0efdf3de07e78f8e66a24e238586925cca25e437d079ca1
- Size of remote file:
- 3.7 kB
- SHA256:
- 082ada6f3b62bb24ff1963a4302f3f147f969e4cacdab9cc90dc33fc22150b47
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