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:
# 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
- Xet hash:
- 5ebfb009017a10048c1d80a1bd1ababb0bdc59fc1864f7399e5a3553ae4bf87b
- Size of remote file:
- 438 MB
- SHA256:
- bf2150c7bbdb5d78409744a866a05defdea9b949052c1fd2a778beb90c265e63
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