Instructions to use cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-llama-fast-tokenizer") model = PeftModel.from_pretrained(base_model, "cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/f0c353b39c75e736c31933207bf0c37cbbe1a3da/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6@f0c353b39c75e736c31933207bf0c37cbbe1a3da/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/cimol/3815d577-e401-4bcc-9b7f-fff1f2f8bac6/resolve/f0c353b39c75e736c31933207bf0c37cbbe1a3da/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- 740cdfff722d2a80288c4b9a0e83e32858c202839e58233f3cb8ca2470aa021e
- Size of remote file:
- 1.06 kB
- SHA256:
- b26348e70deb5f7d6cee52f5eb084c0e6829440001a3c6d0128b93cd074af8c2
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