Instructions to use JackBAI/query_decision_train_on_maybe_valid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JackBAI/query_decision_train_on_maybe_valid with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JackBAI/query_decision_train_on_maybe_valid") model = AutoModelForSeq2SeqLM.from_pretrained("JackBAI/query_decision_train_on_maybe_valid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90bcec74f2e6e8fe64f4ecd9495491e3f1a843fc29e9a2c9a3a39f2e6c85ff3d
- Size of remote file:
- 4.09 kB
- SHA256:
- fb95e8ac08b872c19b8ac38904219327006f5f3757576e0b832949b408165e47
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