Instructions to use Sathyapriyaa/modified-ner-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sathyapriyaa/modified-ner-finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "Sathyapriyaa/modified-ner-finetuned") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Sathyapriyaa/modified-ner-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 26.3 MB
-
https://huggingface.co/Sathyapriyaa/modified-ner-finetuned/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Sathyapriyaa/modified-ner-finetuned/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Sathyapriyaa/modified-ner-finetuned/resolve/main/adapter_model.bin
26.3 MB
- Xet hash:
- a77211191d38d8133e60ef4b05840f6eed7dc320772661e4fcf510d0c891a540
- Size of remote file:
- 26.3 MB
- SHA256:
- 3fd552d6fc931965d7f7f8a17f5f044fcec0dc97010fbf286ad25ae31874e756
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