Instructions to use ciwrl/fine_tuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ciwrl/fine_tuned_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("ciwrl/fine_tuned_model") model = AutoModelForMultipleChoice.from_pretrained("ciwrl/fine_tuned_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ciwrl/fine_tuned_model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/ciwrl/fine_tuned_model/resolve/main/training_args.bin
- Command line
-
hf download hf://ciwrl/fine_tuned_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ciwrl/fine_tuned_model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 90fb2040bd7a437dec70dcde8a4a2581b3ce3c67aa72eb9028ad63f9e21bf397
- Size of remote file:
- 4.6 kB
- SHA256:
- 716abbcef2052a85b3e8efbf3eb51c8dbc076dac4232fe8855d14eaacf80c48d
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