Instructions to use AnonymousSub/SDR_HF_model_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/SDR_HF_model_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/SDR_HF_model_base")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/SDR_HF_model_base") model = AutoModelForMultimodalLM.from_pretrained("AnonymousSub/SDR_HF_model_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fdfec7475a9f88b97ebe2979468c992627ee1d69fc4901297388d1000f5c2bf
- Size of remote file:
- 499 MB
- SHA256:
- d57e52272e9a152fd35bf796f5a452d7a94ce432bfe378175bc6fe1e60663bfc
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