Instructions to use dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/dzanbek/f23f2a9a-0d72-4c9d-85f8-5c9dfbfcb874/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- f3a21563c0b25d06c0de298937cd13a8703eace7b9eb5abca99c64222c064988
- Size of remote file:
- 1.06 kB
- SHA256:
- 4677d15317405bcdd600dfdae9d04715d81517a0dbc7789a073149e371184d8c
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