Instructions to use aritrosakar/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aritrosakar/tmp_trainer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aritrosakar/tmp_trainer") model = AutoModelForSeq2SeqLM.from_pretrained("aritrosakar/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddcff8e9af29aa6a299f3acd5f24bba086173027781abb31a65fc4d43e11d5ca
- Size of remote file:
- 4.98 kB
- SHA256:
- f388a8d75d17f2bb0fb5212f1e19afab7caae85237f2d24ab756a431f1ab28f7
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