Instructions to use arnab18maity/Arnab_finetuned_HTML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arnab18maity/Arnab_finetuned_HTML with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "arnab18maity/Arnab_finetuned_HTML") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arnab18maity/Arnab_finetuned_HTML: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/arnab18maity/Arnab_finetuned_HTML/resolve/main/training_args.bin
- Command line
-
hf download hf://arnab18maity/Arnab_finetuned_HTML/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arnab18maity/Arnab_finetuned_HTML/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- ecdbf18f0f76eaeca08965cc0a7860a50bd3c05285f839ee103de7e298fc6a00
- Size of remote file:
- 4.98 kB
- SHA256:
- 0b45881449651bc03ab553ded9123819ef65caad6b057862d19ceae8be5f8f77
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