Instructions to use gravermistakes/flanT5-MoE-7X0.1B-Ancient-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gravermistakes/flanT5-MoE-7X0.1B-Ancient-AI with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gravermistakes/flanT5-MoE-7X0.1B-Ancient-AI") model = AutoModelForSeq2SeqLM.from_pretrained("gravermistakes/flanT5-MoE-7X0.1B-Ancient-AI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0328a8264ab4e2d245151f55b085759dd8ea4776fe33823a781095fc2cdf7c1a
- Size of remote file:
- 439 MB
- SHA256:
- d0dba9f7038de93ec793139e789a4dc0e2d09d21a19a7434400fda7b27f8a4e7
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