Instructions to use beast33/d791a973-ae3b-4731-9d01-7bfbf4996002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/d791a973-ae3b-4731-9d01-7bfbf4996002 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "beast33/d791a973-ae3b-4731-9d01-7bfbf4996002") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from beast33/d791a973-ae3b-4731-9d01-7bfbf4996002: direct link, hf CLI and curl.
- Browser
- Download file 202 MB
-
https://huggingface.co/beast33/d791a973-ae3b-4731-9d01-7bfbf4996002/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://beast33/d791a973-ae3b-4731-9d01-7bfbf4996002/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/beast33/d791a973-ae3b-4731-9d01-7bfbf4996002/resolve/main/adapter_model.safetensors
202 MB
- Xet hash:
- ee05acf97285f6b85e0b7289fcc22f47227b7001659a11b2c4c9d4550ef1ac0e
- Size of remote file:
- 202 MB
- SHA256:
- 6ee83399dd6d502ff19b39f8957f6b4aa5f353c84c6a28f52ac1986186029074
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