Instructions to use Valencio/LLM_course_EncDec_model_translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Valencio/LLM_course_EncDec_model_translation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Valencio/LLM_course_EncDec_model_translation") model = AutoModelForSeq2SeqLM.from_pretrained("Valencio/LLM_course_EncDec_model_translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3e03db5b2bef0d24d4dbc80bf0aabb754687f61d98682f70380c1dc9bbcfc23
- Size of remote file:
- 5.33 kB
- SHA256:
- 91e94dc272fde37deec4102db6f015d86dc2dbbebea4107eba26e022bfa8dcaf
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