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/optimizer.pt from passionMan/tallrec: direct link, hf CLI and curl.
- Browser
- Download file 27.4 MB
-
https://huggingface.co/passionMan/tallrec/resolve/main/checkpoint-130/optimizer.pt
- Command line
-
hf download hf://passionMan/tallrec/checkpoint-130/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/passionMan/tallrec/resolve/main/checkpoint-130/optimizer.pt
27.4 MB
- Xet hash:
- ddc993851632bf5ac79f69e6fc6b2c367c48da18883b6a691dd1dba2ff299d91
- Size of remote file:
- 27.4 MB
- SHA256:
- ee36de1efdf0bf0bd19da5013438dc526e0b24b874cbf948d7ac9aa66f62799f
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