Instructions to use dq158/finalMeat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dq158/finalMeat with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dq158/finalMeat") model = AutoModelForSeq2SeqLM.from_pretrained("dq158/finalMeat") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
config.json
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"T5ForConditionalGeneration"
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"_name_or_path": "dq158/finalMeat",
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model.safetensors
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training_args.bin
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oid sha256:dcc6271f614588d827bad076034b6eed6bf1dc0f937c1c713e0d7ec1959bdb0d
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size 4728
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