Instructions to use C-L-V/modelo_ta_es_en_ddhh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use C-L-V/modelo_ta_es_en_ddhh with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("C-L-V/modelo_ta_es_en_ddhh") model = AutoModelForSeq2SeqLM.from_pretrained("C-L-V/modelo_ta_es_en_ddhh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eeabcc012b5d30eed2a2f92f09ada8f23e73816a4de26220a98d7ab62a7a41c8
- Size of remote file:
- 576 MB
- SHA256:
- ed075a8dd2c1591c1b057b9e27f0fe5c8ae100cbd00b2a84fa5dbfc18186a88d
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