Instructions to use ayush1701/my-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayush1701/my-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ayush1701/my-deberta")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ayush1701/my-deberta") model = AutoModel.from_pretrained("ayush1701/my-deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c36af6e223495b5d2ea889c66b4340e0a8a3119c37c720c0a0603c4b834d5b05
- Size of remote file:
- 555 MB
- SHA256:
- cf458436ac2d3952c7e567d40e77c230e2dcdaee8e1bfb2a5d0a9492211c8632
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