Instructions to use riiwang/scratch_lr_3e-05_batch_2_epoch_1_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use riiwang/scratch_lr_3e-05_batch_2_epoch_1_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("riiwang/scratch_lr_3e-05_batch_2_epoch_1_model") model = AutoModelForMultipleChoice.from_pretrained("riiwang/scratch_lr_3e-05_batch_2_epoch_1_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b8b0ec2759d2edcf5c7ef3ff346e52cc1a36d27a96a6ec22494830f37dc271a
- Size of remote file:
- 5.24 kB
- SHA256:
- 1e9a2b8f49dc94f75dbc5b0386e7618422529bf02ce642805803f1aed2c2fe2e
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