Instructions to use dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97/resolve/48da0dc4a329395bdff1baf55a9beb831f54ef66/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97@48da0dc4a329395bdff1baf55a9beb831f54ef66/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/dzanbek/df0fa936-3f41-4d65-8622-edc329a19b97/resolve/48da0dc4a329395bdff1baf55a9beb831f54ef66/last-checkpoint/optimizer.pt
336 MB
- Xet hash:
- d2a75debe87ca617bf91ed8928ad5917ea48ce80eb7019b82fe0227e9ac6d95b
- Size of remote file:
- 336 MB
- SHA256:
- 27b5e0993c2fa08bdc372bb6a2e8e51487ce65bbec94283e0db2300f9c1cdd3c
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