Instructions to use kelvinmbewe/MineTalk_AI_Notebook_A_en_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kelvinmbewe/MineTalk_AI_Notebook_A_en_zh with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kelvinmbewe/MineTalk_AI_Notebook_A_en_zh") model = AutoModelForSeq2SeqLM.from_pretrained("kelvinmbewe/MineTalk_AI_Notebook_A_en_zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52e8d491045ef192b6420f8a7d879565387db0f89f7d8230334dc0faad24339f
- Size of remote file:
- 805 kB
- SHA256:
- 81dc94efa84e4025ef38d25d5d07429fe41e3eb29d44003f1db6fe98487b0052
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