Instructions to use AnonymousSub/AR_SDR_HF_model_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/AR_SDR_HF_model_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/AR_SDR_HF_model_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/AR_SDR_HF_model_base") model = AutoModel.from_pretrained("AnonymousSub/AR_SDR_HF_model_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87efdc6b3786bf4bb1d4468c6e476bdaee1e3b8243a9741700dc78ba1fe014cb
- Size of remote file:
- 499 MB
- SHA256:
- 5d7ca0318d353d0a6f8f08f89ba3007dd8818c46ced2418e8bb9e15b652507bd
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