Instructions to use FiveC/delete_original_tay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/delete_original_tay with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/delete_original_tay") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/delete_original_tay", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d705e92e0ddf8ccc8f012557d80d33c87bcbcfa822bc8a6d590cd15c14bd26c
- Size of remote file:
- 1.58 GB
- SHA256:
- 26c2495585561737e4e78c9dec2858a1e0e415f323a9cdf0fd4c279f41243354
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.