Instructions to use sergioalves/9c842882-c751-416a-9522-d4aa4a501dde with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/9c842882-c751-416a-9522-d4aa4a501dde with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "sergioalves/9c842882-c751-416a-9522-d4aa4a501dde") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from sergioalves/9c842882-c751-416a-9522-d4aa4a501dde: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/sergioalves/9c842882-c751-416a-9522-d4aa4a501dde/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://sergioalves/9c842882-c751-416a-9522-d4aa4a501dde/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/sergioalves/9c842882-c751-416a-9522-d4aa4a501dde/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- 263b974d9c0e023a3d8226243f82c41140ca875f4288d9d8d901fe75f2450f21
- Size of remote file:
- 1.06 kB
- SHA256:
- f0e9cc72c20ddd925ef39b6005e82a4d8730b1dde32cfcd070d74c83a8a3564a
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