Instructions to use saksornr/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saksornr/tmp_trainer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("saksornr/tmp_trainer") model = AutoModelForSeq2SeqLM.from_pretrained("saksornr/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b2e6486dc418f71d06385d1ec0ae270a03a0b5a879c7495039047df2aa45636
- Size of remote file:
- 308 MB
- SHA256:
- 1936445c9af219a91963270ea532c7552b288fe2f04d8d8a627609f276f9566c
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