Instructions to use ErrorAI/b2fc46b0-c7e5-4247-8acb-12d320faf19d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/b2fc46b0-c7e5-4247-8acb-12d320faf19d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("katuni4ka/tiny-random-qwen1.5-moe") model = PeftModel.from_pretrained(base_model, "ErrorAI/b2fc46b0-c7e5-4247-8acb-12d320faf19d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from ErrorAI/b2fc46b0-c7e5-4247-8acb-12d320faf19d: direct link, hf CLI and curl.
- Browser
- Download file 327 kB
-
https://huggingface.co/ErrorAI/b2fc46b0-c7e5-4247-8acb-12d320faf19d/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://ErrorAI/b2fc46b0-c7e5-4247-8acb-12d320faf19d/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ErrorAI/b2fc46b0-c7e5-4247-8acb-12d320faf19d/resolve/main/last-checkpoint/adapter_model.safetensors
327 kB
- Xet hash:
- b56f7326d3cc560f652de4dc6a7def8a01139568ae3597c69433d48efe917c86
- Size of remote file:
- 327 kB
- SHA256:
- 76c8286fb1d922743064c81ee62b88bba1a0a8a8e6a26850d3f2ef9dfa2f8633
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