Instructions to use kelvinmbewe/MineTalk_AI_Notebook_A_ny_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kelvinmbewe/MineTalk_AI_Notebook_A_ny_en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kelvinmbewe/MineTalk_AI_Notebook_A_ny_en") model = AutoModelForSeq2SeqLM.from_pretrained("kelvinmbewe/MineTalk_AI_Notebook_A_ny_en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51105162308a57f9b50ed873ae3b2fe016358c2a256127af9a782acad5336516
- Size of remote file:
- 842 kB
- SHA256:
- 88ed79816c7e90edbc6b74752d3b1414571f7c9267da5cf99b1f6ab65f90a669
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