Instructions to use Hamma-16/HammaLoRAMarBERT-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Hamma-16/HammaLoRAMarBERT-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("UBC-NLP/MARBERT") model = PeftModel.from_pretrained(base_model, "Hamma-16/HammaLoRAMarBERT-v2") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Hamma-16/HammaLoRAMarBERT-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.69 MB
-
https://huggingface.co/Hamma-16/HammaLoRAMarBERT-v2/resolve/main/tokenizer.json
- Command line
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hf download hf://Hamma-16/HammaLoRAMarBERT-v2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Hamma-16/HammaLoRAMarBERT-v2/resolve/main/tokenizer.json
2.69 MB
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