Instructions to use nishit1945/VSM-LLM-3B-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nishit1945/VSM-LLM-3B-Fast with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "nishit1945/VSM-LLM-3B-Fast") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nishit1945/VSM-LLM-3B-Fast: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/nishit1945/VSM-LLM-3B-Fast/resolve/main/tokenizer.json
- Command line
-
hf download hf://nishit1945/VSM-LLM-3B-Fast/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nishit1945/VSM-LLM-3B-Fast/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 5a8c1e9e5258f3609e824b5d96d4aaba759fda177d1084f925dedfcc22ce9689
- Size of remote file:
- 11.4 MB
- SHA256:
- 41e23aee6fef5125d5664a85dad5971e1da639dc6e70b3132a08146eab7cdfd1
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