Instructions to use Samuael/amhat5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samuael/amhat5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Samuael/amhat5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Samuael/amhat5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload T5ForConditionalGeneration
Browse files- generation_config.json +1 -1
- model.safetensors +1 -1
generation_config.json
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"_from_model_config": true,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.38.2"
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"decoder_start_token_id": 0,
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"max_length": 300,
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"pad_token_id": 0,
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"transformers_version": "4.38.2"
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}
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model.safetensors
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