Instructions to use karths/TD_model_Deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/TD_model_Deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/TD_model_Deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/TD_model_Deberta") model = AutoModelForSequenceClassification.from_pretrained("karths/TD_model_Deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 415f52ff6cd57d049eccc4641ea59f91326d322133e32041e28d743ef68ca6af
- Size of remote file:
- 3.31 kB
- SHA256:
- 250d6963568630360937192c9f1b527e946a75e0f42e15e809f0f5e2d60ebb82
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