Instructions to use ksang/W2S_llama8b_lora_sequenceclassification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksang/W2S_llama8b_lora_sequenceclassification_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ksang/W2S_llama8b_lora_sequenceclassification_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c0764d097e1fac1509be6bdfa5492fd5ecc81bd0348532fdda582bb5cd9818f
- Size of remote file:
- 17.2 MB
- SHA256:
- 76cfe2f054560aae896b2b75e273dc97a39e304d4ad19c44a9727a1d6b33c4cc
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