Instructions to use antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8/resolve/main/adapter_model.bin
- Command line
-
hf download hf://antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- 33204edb13e61c7181db03779f91a2c94c288515dcfbf2e28ce7d732d79bae7f
- Size of remote file:
- 84 MB
- SHA256:
- fa414e71b8f96970d1763e90cd1233a641309895130e9c1612a003d69c6f484e
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