Instructions to use vania2911/esp_msl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/esp_msl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/esp_msl") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/esp_msl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecfb2bff88974aeced0cbe60adb15dd93677b253d41e359bd98682d2f0ce6546
- Size of remote file:
- 5.5 kB
- SHA256:
- 616c343687e590631c20d095e94467345b7e30071700796766efe3f7df762854
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.