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:
- e0774fc5e352a86586e3d217d221a64fa50dd1f35b019bd56ea4932241a79edf
- Size of remote file:
- 2.99 kB
- SHA256:
- 3385fab0fc0d464413ffcc1980bc64652f9caac3a354de1a548e6ba5975fb15d
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