Instructions to use ignaciovillanueva/umt5-base-quechua-espanol-finetuned-model-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ignaciovillanueva/umt5-base-quechua-espanol-finetuned-model-v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ignaciovillanueva/umt5-base-quechua-espanol-finetuned-model-v3") model = AutoModelForSeq2SeqLM.from_pretrained("ignaciovillanueva/umt5-base-quechua-espanol-finetuned-model-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 142 Bytes
372d678 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"decoder_start_token_id": 0,
"eos_token_id": 1,
"pad_token_id": 0,
"transformers_version": "4.41.2"
}
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