Instructions to use rokset3/kazroberta-180kstep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rokset3/kazroberta-180kstep with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("roberta-base") model = PeftModel.from_pretrained(base_model, "rokset3/kazroberta-180kstep") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from rokset3/kazroberta-180kstep: direct link, hf CLI and curl.
- Browser
- Download file 4.74 MB
-
https://huggingface.co/rokset3/kazroberta-180kstep/resolve/main/adapter_model.bin
- Command line
-
hf download hf://rokset3/kazroberta-180kstep/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/rokset3/kazroberta-180kstep/resolve/main/adapter_model.bin
4.74 MB
- Xet hash:
- b3168ac3122ed93d3c6a34672971042ca5552c41daa6391649ab71e01a5dfc79
- Size of remote file:
- 4.74 MB
- SHA256:
- 945bb52bea343a8957dcbba8c278b8fe387d75a95bcd7893a0612944786c5aab
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