Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use mimi/Waynehills-NLP-doogie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mimi/Waynehills-NLP-doogie with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mimi/Waynehills-NLP-doogie") model = AutoModelForSeq2SeqLM.from_pretrained("mimi/Waynehills-NLP-doogie", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"pad_token_id": 0,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.12.
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"use_cache": false,
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"vocab_size": 64128
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}
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"pad_token_id": 0,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.12.2",
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"use_cache": false,
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"vocab_size": 64128
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 990044879
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb2454829acf9ccb2f1681d0a69c35af292e85772779c523935c7518ea42707d
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size 990044879
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