Instructions to use mirfan899/umts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirfan899/umts with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mirfan899/umts") model = AutoModelForSeq2SeqLM.from_pretrained("mirfan899/umts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db008409e9182e4e9820b1abf2341758f4ed79331af9d461a169047cbbb5a986
- Size of remote file:
- 16.3 MB
- SHA256:
- 4c62fa27269a60d5a446fc0a782ab0427aec29bed3713f5960341c1ba6792ccd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.