Instructions to use JackBAI/query_decision_train_on_maybe_train 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_train with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JackBAI/query_decision_train_on_maybe_train") model = AutoModelForSeq2SeqLM.from_pretrained("JackBAI/query_decision_train_on_maybe_train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7762447cfe8651a51234b3def0623b68125ed695ca0253451e7b4f286c3344b5
- Size of remote file:
- 4.09 kB
- SHA256:
- 3770ff9e7a93bcc6658fedd4dfed44d68a12c465036f0bd62f4a067209cd8bb4
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