Instructions to use quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d 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, "quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d: direct link, hf CLI and curl.
- Browser
- Download file 41.1 MB
-
https://huggingface.co/quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/quannh197/911ee87c-0694-45d2-a09f-f16a4dc0689d/resolve/main/last-checkpoint/optimizer.pt
41.1 MB
- Xet hash:
- 2a5e74d1661ba2e8486d63223d153f1be529dfe5b5a31eb58b149233d4da5662
- Size of remote file:
- 41.1 MB
- SHA256:
- 2f1e1bb3f65861fb237f10c4c2c7199990c16234747d26f09dc6a0d4260d06e0
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