Instructions to use abhir00p/Qgen_model_ACM_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhir00p/Qgen_model_ACM_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abhir00p/Qgen_model_ACM_2") model = AutoModelForSeq2SeqLM.from_pretrained("abhir00p/Qgen_model_ACM_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a5a8c8ece7611fba29e0345d8b84e484c7d2559f73ad2d57540dad190f2af7d
- Size of remote file:
- 892 MB
- SHA256:
- 1df0d9f9eec22242547fedade774bd0834f7e7daf7eb55ddfaa13bd6b3050770
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