Instructions to use Dipl0/NLP_Chat_QA_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dipl0/NLP_Chat_QA_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dipl0/NLP_Chat_QA_1") model = AutoModelForSeq2SeqLM.from_pretrained("Dipl0/NLP_Chat_QA_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6284f91ffaf69da0e5a96a72d3411196849d0c1481435ae61c8c0c41f085ab41
- Size of remote file:
- 3.2 kB
- SHA256:
- 1269b8ac82005162e3093ea2cb38f6139cc365c2ef8148638ed0fa168d7d8399
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