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:
# pip install -U transformers accelerate # 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
Download optimizer.pt from JackBAI/query_decision_train_on_maybe_valid: direct link, hf CLI and curl.
- Browser
- Download file 174 MB
-
https://huggingface.co/JackBAI/query_decision_train_on_maybe_valid/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://JackBAI/query_decision_train_on_maybe_valid@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/JackBAI/query_decision_train_on_maybe_valid/resolve/refs%2Fpr%2F1/optimizer.pt
174 MB
- Xet hash:
- cb362785f68297134624fce2ec4da469867963c8e03bda04154016d63d25bc4e
- Size of remote file:
- 174 MB
- SHA256:
- ca8db023ae40a0d17b83c4aa85eb344ea7579cebb1659988619972c642140019
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