Instructions to use phamtungthuy/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phamtungthuy/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Viet-Mistral/Vistral-7B-Chat") model = PeftModel.from_pretrained(base_model, "phamtungthuy/results") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from phamtungthuy/results: direct link, hf CLI and curl.
- Browser
- Download file 597 kB
-
https://huggingface.co/phamtungthuy/results/resolve/main/tokenizer.model
- Command line
-
hf download hf://phamtungthuy/results/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/phamtungthuy/results/resolve/main/tokenizer.model
597 kB
- Xet hash:
- 59c90dea8358f6a7afeedeb111dfcf8c2d4cd533604d681198986c11eed68175
- Size of remote file:
- 597 kB
- SHA256:
- e792a804bbfc19a96b61b87109b8f2b0b7c92830025f285b402ba27c0c309c6f
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