Instructions to use MightyOctopus/pricer-lora-ft-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MightyOctopus/pricer-lora-ft-v3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MightyOctopus/pricer-merged-model-A-v1") model = PeftModel.from_pretrained(base_model, "MightyOctopus/pricer-lora-ft-v3") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from MightyOctopus/pricer-lora-ft-v3: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/MightyOctopus/pricer-lora-ft-v3/resolve/main/tokenizer.json
- Command line
-
hf download hf://MightyOctopus/pricer-lora-ft-v3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MightyOctopus/pricer-lora-ft-v3/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 73707c0a120c4502d11bb7d61c0eca313fb3eb275f49602f1f1b79c7503ebfe9
- Size of remote file:
- 17.2 MB
- SHA256:
- 0dcdea11cb7ecb49d61d951e27fd0e5d92248771bdfa6b63992b633bf870eb82
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