Instructions to use thaboe01/resultsv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thaboe01/resultsv2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("thaboe01/resultsv2") model = AutoModelForSeq2SeqLM.from_pretrained("thaboe01/resultsv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01b859e64bd13550ce79a3293e05a2fbe2c9c890a47fb03a1b4dd9946cff5deb
- Size of remote file:
- 5.05 kB
- SHA256:
- e37aaffc46c37d06bd1f392c5f67a67925c2b71e2cf5630afa234db7e3b8c1d5
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