Instructions to use ColeH0415/comp90042-deberta-synmap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ColeH0415/comp90042-deberta-synmap with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ColeH0415/comp90042-deberta-synmap")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ColeH0415/comp90042-deberta-synmap") model = AutoModelForSequenceClassification.from_pretrained("ColeH0415/comp90042-deberta-synmap") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95a8e60a127389615b0f0bffbc412f5ad149ac7f99a27c4f4fc5e9832a949d7b
- Size of remote file:
- 738 MB
- SHA256:
- b6de6c29162b44041a79c4922ab26efcdb9d801b9c7c1e39b7f09bfc91b6b0e5
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