Instructions to use SnehaPriyaaMP/HTML_DOM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SnehaPriyaaMP/HTML_DOM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "SnehaPriyaaMP/HTML_DOM") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from SnehaPriyaaMP/HTML_DOM: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/SnehaPriyaaMP/HTML_DOM/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://SnehaPriyaaMP/HTML_DOM/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/SnehaPriyaaMP/HTML_DOM/resolve/main/adapter_model.safetensors
168 MB
- Xet hash:
- 9b2c4ebf9d1a42377aa8f2618ca463309422a1bd6fcf1096d676daf42852b5d1
- Size of remote file:
- 168 MB
- SHA256:
- 6907b20a7112a7c408dbcbbd08c337851e4be440b80aa1f7a98b3f6472140827
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