Instructions to use vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Capybara-7B-V1") model = PeftModel.from_pretrained(base_model, "vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/rng_state.pth from vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110: direct link, hf CLI and curl.
- Browser
- Download file 14.2 kB
-
https://huggingface.co/vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110/resolve/main/last-checkpoint/rng_state.pth
- Command line
-
hf download hf://vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110/last-checkpoint/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110/resolve/main/last-checkpoint/rng_state.pth
14.2 kB
- Xet hash:
- 84b8f69b96794a9bf148281468372dd94cb74c1b3dc25683899f91e7696d4512
- Size of remote file:
- 14.2 kB
- SHA256:
- bce17a2a8f6ebe4ee6ecf858555437785eec5d244cc5e784ec7230d3d510bbd8
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