Instructions to use beast33/154f3c0a-335f-498b-adee-b92f6e62c489 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/154f3c0a-335f-498b-adee-b92f6e62c489 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-160m") model = PeftModel.from_pretrained(base_model, "beast33/154f3c0a-335f-498b-adee-b92f6e62c489") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/scheduler.pt from beast33/154f3c0a-335f-498b-adee-b92f6e62c489: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/beast33/154f3c0a-335f-498b-adee-b92f6e62c489/resolve/main/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://beast33/154f3c0a-335f-498b-adee-b92f6e62c489/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/beast33/154f3c0a-335f-498b-adee-b92f6e62c489/resolve/main/last-checkpoint/scheduler.pt
1.06 kB
- Xet hash:
- eac3bf4c50a348fc9800f8e717626061a577305d011e761d58598ad912a00318
- Size of remote file:
- 1.06 kB
- SHA256:
- 705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
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