Instructions to use kelvinmbewe/MineTalk_AI_Notebook_A_zh_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_zh_en with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kelvinmbewe/MineTalk_AI_Notebook_A_zh_en") model = AutoModelForSeq2SeqLM.from_pretrained("kelvinmbewe/MineTalk_AI_Notebook_A_zh_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6c483153c6699a89aa95f163a479ffbc0c5edc42fd8367b7fd4c0bee44821e8
- Size of remote file:
- 805 kB
- SHA256:
- e27a3a1b539f4959ec72ea60e453f49156289f95d4e6000b29332efc45616203
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