Instructions to use g-assismoraes/mdeberta-domain_EN_fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use g-assismoraes/mdeberta-domain_EN_fold1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="g-assismoraes/mdeberta-domain_EN_fold1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("g-assismoraes/mdeberta-domain_EN_fold1") model = AutoModelForSequenceClassification.from_pretrained("g-assismoraes/mdeberta-domain_EN_fold1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac6d27d831b5088367d349b89f664aed904d3f4e962e6d0d0e0a30f36856184b
- Size of remote file:
- 5.3 kB
- SHA256:
- a9a094b7cd25772e962c15a897e7d6e384b957d7b4aad4e1f614128546c2bd2e
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