Instructions to use HugoGiddins/weighted-ordinal-timeframe-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HugoGiddins/weighted-ordinal-timeframe-model with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("vinai/bertweet-base") model = PeftModel.from_pretrained(base_model, "HugoGiddins/weighted-ordinal-timeframe-model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HugoGiddins/weighted-ordinal-timeframe-model: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/HugoGiddins/weighted-ordinal-timeframe-model/resolve/main/training_args.bin
- Command line
-
hf download hf://HugoGiddins/weighted-ordinal-timeframe-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HugoGiddins/weighted-ordinal-timeframe-model/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 268ea2f1135505601459d5b48e1d202fe85376ae6c363d5b1233675320431d94
- Size of remote file:
- 5.37 kB
- SHA256:
- 217aa6d220b8597af204240f389f27a6361b39bf622d30c6e9e29195ec49b768
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