Instructions to use hmqid03/Llama3_GeneratePoem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hmqid03/Llama3_GeneratePoem with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "hmqid03/Llama3_GeneratePoem") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hmqid03/Llama3_GeneratePoem: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/hmqid03/Llama3_GeneratePoem/resolve/main/tokenizer.json
- Command line
-
hf download hf://hmqid03/Llama3_GeneratePoem/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hmqid03/Llama3_GeneratePoem/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- bba7bb52d647b154b396df6980c18244115461aa546d6555548f416bf0df9c84
- Size of remote file:
- 17.2 MB
- SHA256:
- a5beb184eb9ff6aeccc182fc39388be611941a6b6a09d7d7cdd67e28388e6263
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