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:
- c0511a5f7458c3a098f17ea8857b44fc1e4658193ebb178c5d04eb3e014306e2
- Size of remote file:
- 3.7 kB
- SHA256:
- 2b3e9f2ab917dcd77c3251af6c2b53bf41eb205a97b2c7cecf2c334fb3a05af7
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