Instructions to use maydixit/llama_v5_v4_adv_gsm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maydixit/llama_v5_v4_adv_gsm with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("maydixit/llama_v5_v4_adv_gsm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd9671bf983514890a01eb7ac4c34a17910f4fa233221034dd5d33501064dfba
- Size of remote file:
- 545 MB
- SHA256:
- 98746545b97cda93e71d6d6804b5aa7de1b6ac0483a579b9980277b344f8513e
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