Instructions to use passionMan/tallrec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use passionMan/tallrec with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Undi95/Meta-Llama-3-8B-hf") model = PeftModel.from_pretrained(base_model, "passionMan/tallrec") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-130/adapter_model.safetensors from passionMan/tallrec: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/passionMan/tallrec/resolve/main/checkpoint-130/adapter_model.safetensors
- Command line
-
hf download hf://passionMan/tallrec/checkpoint-130/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/passionMan/tallrec/resolve/main/checkpoint-130/adapter_model.safetensors
40 Bytes
- Xet hash:
- 47c7da33b9280f7f7a146dda031e24d903b565bc8f0fd1796d1077224f5261ee
- Size of remote file:
- 40 Bytes
- SHA256:
- 60d95b10b6e140a9626a7058d5038528f2ff80148dc4569b881db56052046509
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