Instructions to use robkayinto/roberta-large-lora-token-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robkayinto/roberta-large-lora-token-classification with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("roberta-large") model = PeftModel.from_pretrained(base_model, "robkayinto/roberta-large-lora-token-classification") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from robkayinto/roberta-large-lora-token-classification: direct link, hf CLI and curl.
- Browser
- Download file 7.53 MB
-
https://huggingface.co/robkayinto/roberta-large-lora-token-classification/resolve/main/adapter_model.bin
- Command line
-
hf download hf://robkayinto/roberta-large-lora-token-classification/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/robkayinto/roberta-large-lora-token-classification/resolve/main/adapter_model.bin
7.53 MB
- Xet hash:
- 3b1102e3d7d344c3e0e1cdd461a18b201af5e37a4c28f53539b8acff01a0da43
- Size of remote file:
- 7.53 MB
- SHA256:
- 2559c9377a7504522c437bd4a0466d5c609ae0fc91c2f5ba9f25aa32a97001b0
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