Instructions to use error577/f19104f9-3bbb-4c28-bc68-79e78aebec79 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/f19104f9-3bbb-4c28-bc68-79e78aebec79 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B") model = PeftModel.from_pretrained(base_model, "error577/f19104f9-3bbb-4c28-bc68-79e78aebec79") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from error577/f19104f9-3bbb-4c28-bc68-79e78aebec79: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/error577/f19104f9-3bbb-4c28-bc68-79e78aebec79/resolve/main/tokenizer.json
- Command line
-
hf download hf://error577/f19104f9-3bbb-4c28-bc68-79e78aebec79/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/error577/f19104f9-3bbb-4c28-bc68-79e78aebec79/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 7a29a10eb51dba880581668152ececbf947c03360019a36a6de21bb576bdd7e6
- Size of remote file:
- 11.4 MB
- SHA256:
- bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
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