Instructions to use AnonymousSub/SR_SDR_HF_model_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SR_SDR_HF_model_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/SR_SDR_HF_model_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SR_SDR_HF_model_base") model = AutoModel.from_pretrained("AnonymousSub/SR_SDR_HF_model_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3814b48cad4b45513d443d033cca4bfef24858f3368edfea85d9539bc8cef4ea
- Size of remote file:
- 499 MB
- SHA256:
- 2d6f5dd325b0d3326c393dcbf3f2ee9bb981a822074de757ee5aa5d0161adfde
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